Jiming LIU, Prof

Research Output

Research output per year 1988 2002 2003 2004 2005 2007 2009 2010 2011 2012 2013 2014 2015 2016 2019 2020 2023

• 192 Journal article
• 153 Conference proceeding
• 25 Conference paper
• 22 Editorial
• 49 More
  • 16 Chapter
  • 13 Conference article
  • 8 Book or report
  • 8 Review article
  • 2 Patent
  • 1 Letter
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2023

  A Novel Graph Indexing Approach for Uncovering Potential COVID-19 Transmission Clusters

  Zhu, X., Huang, X., Sun, L. & Liu, J., 20 Feb 2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 2, 24 p., 24.

  Research output: Contribution to journal › Journal article › peer-review

  • Viruses 100%
  • Query processing 94%
  • Scanning 65%
  • Experiments 30%

• Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia

  Liu, M., Liu, Y., Po, L., Xia, S., Huy, R., Zhou, X. N. & Liu, J., Mar 2023, In: Infectious Disease Modelling. 8, 1, p. 253-269 17 p.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Cambodia 100%
  • Malaria 97%
  • Risk Factors 89%
  • Modeling 46%
  • Human 21%

• Detecting the skewness of data from the five-number summary and its application in meta-analysis

  Shi, J., Luo, D., Wan, X., Liu, Y., Liu, J., Bian, Z. & Tong, T., Jul 2023, In: Statistical Methods in Medical Research. 32, 7, p. 1338-1360 23 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Skewness 100%
  • Meta-Analysis 69%
  • Mean deviation 58%
  • Sample mean 50%
  • Standard deviation 48%
  5 Citations (Scopus)

• Efficient and Optimal Algorithms for Tree Summarization with Weighted Terminologies

  Zhu, X., Huang, X., Choi, B. K. K., Xu, J., Cheung, W. K. W., Zhang, Y. & Liu, J., 1 Mar 2023, In: IEEE Transactions on Knowledge and Data Engineering. 35, 3, p. 2500-2514 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Summarization 100%
  • Optimal Algorithm 73%
  • Terminology 73%
  • Efficient Algorithms 57%
  • Ontology 22%

• Mutually Adaptable Learning

  Tan, Q., Liu, Y. & Liu, J., 9 Aug 2023, (E-pub ahead of print) In: IEEE Transactions on Emerging Topics in Computational Intelligence. p. 1-15 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Learning 100%
  • Data Dependency 28%
  • Feature extraction 21%
  • Machine learning 20%
  • Prediction 14%

• TransCode: Uncovering COVID-19 transmission patterns via deep learning

  Ren, J., Liu, M., Liu, Y. & Liu, J., 28 Feb 2023, In: Infectious Diseases of Poverty. 12, 20 p., 14.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Deep Learning 100%
  • Hong Kong 80%
  • China 58%
  • contact behavior 53%
  • metropolis 35%
• 2022

  Active Surveillance via Group Sparse Bayesian Learning

  Pei, H., Yang, B., Liu, J. & Chang, K. C. C., 1 Mar 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 3, p. 1133-1148 16 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Bayesian Learning 100%
  • Surveillance 87%
  • Mining 59%
  • Observation 25%
  • Predict 17%
  30 Citations (Scopus)

• A Discrete Moth-Flame Optimization with an l₂-norm Constraint for Network Clustering

  Li, X., Qi, X., Liu, X., Gao, C., Wang, Z., Zhang, F. & Liu, J., May 2022, In: IEEE Transactions on Network Science and Engineering. 9, 3, p. 1776-1788 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Complex networks 100%
  • Decomposition 35%
  • Topology 33%
  • Experiments 17%
  3 Citations (Scopus)

• Commonality and Individuality-Based Subspace Learning

  Ren, J., Liu, Y. & Liu, J., 4 Oct 2022, (E-pub ahead of print) In: IEEE Transactions on Cybernetics. 14 p.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Multi-task learning 100%
  • Individuality 72%
  • Learning 55%
  • Datasets 7%
  • Task Performance and Analysis 5%

• Complex brain activity analysis and recognition based on multiagent methods

  Zhang, H. L., LIU, J. & Dowens, M. G., 10 Apr 2022, In: Concurrency Computation Practice and Experience. 34, 8, e5855.

  Research output: Contribution to journal › Journal article › peer-review

  • Brain 100%
  • Electroencephalogram (EEG) 90%
  • Activity Recognition 90%
  • Electroencephalography 66%
  • Intelligent Agents 39%
  2 Citations (Scopus)

• Dynamic Robustness Analysis of a Two-Layer Rail Transit Network Model

  Gao, C., Fan, Y., Jiang, S., Deng, Y., Liu, J. & Li, X., Jul 2022, In: IEEE Transactions on Intelligent Transportation Systems. 23, 7, p. 6509-6524 16 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Rails 100%
  • Smart cards 12%
  • Failure modes 9%
  • Failure analysis 9%
  • Experiments 3%
  44 Citations (Scopus)

• Optimal resource allocation with spatiotemporal transmission discovery for effective disease control

  Ren, J., Liu, M., Liu, Y. & Liu, J., 25 Mar 2022, In: Infectious Diseases of Poverty. 11, 11 p., 34.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Resource Allocation 100%
  • Disease Outbreaks 65%
  • resources 36%
  • Hong Kong 34%
  • district 29%
  7 Citations (Scopus)

• Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs

  Cui, J., Yang, B., Sun, B., Hu, X. & Liu, J., Jan 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 1, p. 103-116 14 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Global optimization 100%
  • Neural networks 58%
  • Experiments 34%
• 2021

  Accessing the syndemic of COVID-19 and malaria intervention in Africa

  Shi, B., Zheng, J., Xia, S., Lin, S., Wang, X., Liu, Y., Zhou, X. N. & Liu, J., 7 Jan 2021, In: Infectious Diseases of Poverty. 10, 12 p., 5.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Syndemic 100%
  • Coronavirus 74%
  • Malaria 53%
  • Pandemics 26%
  • Epidemics 25%
  10 Citations (Scopus)

• DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data

  Chen, J., Cheong, C. W., Lan, L., Zhou, X., Liu, J., Lyu, A., Cheung, W. K. & Zhang, L., Nov 2021, In: Briefings in Bioinformatics. 22, 6, 14 p., bbab325.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  File

  • RNA 100%
  • Small Cytoplasmic RNA 98%
  • RNA-Seq 96%
  • Gene Regulatory Networks 90%
  • Deep neural networks 80%
  19 Citations (Scopus)

  3 Downloads (Pure)

• Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework

  Tan, Q., Liu, Y. & Liu, J., Aug 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 8, p. 3538-3552 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Predictive analytics 100%
  • Deep learning 67%
  • Information analysis 20%
  • Recurrent neural networks 5%
  • Deep neural networks 5%
  2 Citations (Scopus)

• Heterogeneous neural metric learning for spatio-temporal modeling of infectious diseases with incomplete data

  Tan, Q., LIU, Y., LIU, J., SHI, B., Xia, S. & Zhou, X. N., 11 Oct 2021, In: Neurocomputing. 458, p. 701-713 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Communicable Diseases 100%
  • Learning 85%
  • Disease control 43%
  • Malaria 42%
  • Research Design 37%

• Hybrid Embedding via Cross-layer Random Walks on Multiplex Networks

  Shi, B., Zhong, J., Qiu, H., Bao, Q., Liu, K. & Liu, J., Apr 2021, In: IEEE Transactions on Network Science and Engineering. 8, 2, p. 1815-1827 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Structural properties 100%
  • Labels 78%
  • Experiments 32%
  2 Citations (Scopus)

• Medication Combination Prediction Using Temporal Attention Mechanism and Simple Graph Convolution

  Wang, H., Wu, Y., Gao, C., Deng, Y., Zhang, F., Huang, J. & Liu, J., Oct 2021, In: IEEE Journal of Biomedical and Health Informatics. 25, 10, p. 3995-4004 10 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Convolution 100%
  • Uncertainty 31%
  • Medical Records 28%
  • Datasets 26%
  • Morbidity 20%
  6 Citations (Scopus)

• Modeling Influence Diffusion over Signed Social Networks

  Li, D. & Liu, J., 1 Feb 2021, In: IEEE Transactions on Knowledge and Data Engineering. 33, 2, p. 613-625 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Social Networks 100%
  • Signed 86%
  • Influence 63%
  • Polarity 57%
  • Modeling 53%
  10 Citations (Scopus)

• Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory

  Cai, Q., Alam, S., Pratama, M. & Liu, J., Oct 2021, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems. 51, 10, p. 6244-6257 14 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Complex networks 100%
  • Gaging 64%
  • Phase transitions 50%
  • Multilayers 47%
  • Disasters 45%
  12 Citations (Scopus)

• Uncovering transmission patterns of COVID-19 outbreaks: A region-wide comprehensive retrospective study in Hong Kong

  Liu, Y., Gu, Z. & Liu, J., Jun 2021, In: EClinicalMedicine. 36, 10 p., 100929.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Hong Kong 100%
  • Disease Outbreaks 79%
  • Retrospective Studies 60%
  • Spatio-Temporal Analysis 52%
  • Age Groups 51%
  17 Citations (Scopus)
• 2020

  Breakup of Directed Multipartite Networks

  Cai, Q., Pratama, M., Alam, S., Ma, C. & Liu, J., 1 Jul 2020, In: IEEE Transactions on Network Science and Engineering. 7, 3, p. 947-960 14 p., 8620361.

  Research output: Contribution to journal › Journal article › peer-review

  • Complex networks 100%
  • Phase transitions 33%
  • Multilayers 31%
  • Experiments 11%
  6 Citations (Scopus)

• Culture versus Policy: More Global Collaboration to Effectively Combat COVID-19

  Li, J., Guo, K., Viedma, E. H., Lee, H., Liu, J., Zhong, N., Autran Monteiro Gomes, L. F., Filip, F. G., Fang, S-C., Özdemir, M. S., Liu, X., Lu, G. & Shi, Y., 28 Aug 2020, In: The Innovation. 1, 2, 2 p., 100023.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • public health 100%
  • management 65%
  27 Citations (Scopus)

• Emergence of nonlinear crossover under epidemic dynamics in heterogeneous networks

  Su, Z., Gao, C., LIU, J., Jia, T., Wang, Z. & Kurths, J., 20 Nov 2020, In: Physical Review E. 102, 5, 052311.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Heterogeneous Networks 100%
  • Crossover 74%
  • Centrality 62%
  • Diffusion Process 60%
  • crossovers 57%
  11 Citations (Scopus)

• Graph convolutional architectures via arbitrary order of information aggregation

  Zhou, C., Shi, B., Qiu, H. & Liu, J., 18 May 2020, In: IEEE Access. 8, p. 92802-92813 12 p., 9095292.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Agglomeration 100%
  • Machine learning 84%
  • Drug 61%
  • Embeddings (Algorithms) 34%
  • Vector spaces 29%
  1 Citation (Scopus)

• Hierarchical Clustering of Bipartite Networks Based on Multiobjective Optimization

  Cai, Q. & LIU, J., 1 Jan 2020, In: IEEE Transactions on Network Science and Engineering. 7, 1, p. 421-434 14 p., 8353468.

  Research output: Contribution to journal › Journal article › peer-review

  • Hierarchical clustering 100%
  • Multiobjective optimization 80%
  • Complex networks 66%
  • Clustering algorithms 58%
  • Large scale systems 36%
  11 Citations (Scopus)

• Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding

  Liu, Y., Gu, Z., Ko, T. H. & Liu, J., Feb 2020, In: IEEE Transactions on Cybernetics. 50, 2, p. 717-728 12 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Marketing 100%
  • Embeddings (Algorithms) 62%
  • Learning algorithms 42%
  • Data mining 42%
  • Experiments 18%
  11 Citations (Scopus)

• Inference and prediction of malaria transmission dynamics using time series data

  SHI, B., Lin, S., Tan, Q., Cao, J., Zhou, X., Xia, S., Zhou, X. N. & LIU, J., 16 Jul 2020, In: Infectious Diseases of Poverty. 9, 1, 95.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • time series 100%
  • Malaria 86%
  • Monte Carlo Method 30%
  • Markov Chains 29%
  • statistical method 28%
  5 Citations (Scopus)

• Motif-aware diffusion network inference

  Tan, Q., Liu, Y. & Liu, J., May 2020, In: International Journal of Data Science and Analytics. 9, 4, p. 375-387 13 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Profile 100%
  • Framework 89%
  • Complex networks 79%
  • Learning 70%
  • Vertex of a graph 66%
  5 Citations (Scopus)

• On the Robustness of Complex Systems with Multipartitivity Structures under Node Attacks

  Cai, Q., Alam, S. & LIU, J., Mar 2020, In: IEEE Transactions on Control of Network Systems. 7, 1, p. 106-117 12 p., 8730471.

  Research output: Contribution to journal › Journal article › peer-review

  • Percolation Theory 100%
  • Complex Systems 68%
  • Complex networks 67%
  • Attack 67%
  • Large scale systems 56%
  9 Citations (Scopus)

• What are the underlying transmission patterns of COVID-19 outbreak? An age-specific social contact characterization

  Liu, Y., Gu, Z., Xia, S., Shi, B., Zhou, X. N., Shi, Y. & Liu, J., May 2020, In: EClinicalMedicine. 22, 100354.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Disease Outbreaks 100%
  • China 60%
  • Age Groups 53%
  • Organized Financing 44%
  • Beijing 41%
  112 Citations (Scopus)
• 2019

  Even central users do not always drive information diffusion

  Gao, C., Su, Z., Liu, J. & Kurths, J., Feb 2019, In: Communications of the ACM. 62, 2, p. 61-67 7 p.

  Research output: Contribution to journal › Journal article › peer-review
  48 Citations (Scopus)

• Grassroots VS elites: Which ones are better candidates for influence maximization in social networks?

  Li, D., Wang, W. & LIU, J., 17 Sept 2019, In: Neurocomputing. 358, p. 321-331 11 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Social Networking 100%
  • Seed 90%
  • Seeds 90%
  • Community Networks 34%
  • Social computing 32%
  9 Citations (Scopus)

• Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV

  Yu, C., Dong, Y., LIU, J. & Ren, G., 9 Apr 2019, In: BMC Medical Informatics and Decision Making. 19, 60.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Psychology Reinforcement 100%
  • Reinforcement learning 92%
  • reinforcement 89%
  • learning performance 68%
  • Learning 68%
  20 Citations (Scopus)

• Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units

  Yu, C., LIU, J. & Zhao, H., 9 Apr 2019, In: BMC Medical Informatics and Decision Making. 19, 57.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Artificial Respiration 100%
  • Intensive care units 96%
  • Psychology Reinforcement 78%
  • Hypnotics and Sedatives 73%
  • Reinforcement learning 72%
  27 Citations (Scopus)

• Mining Spatiotemporal Diffusion Network: A New Framework of Active Surveillance Planning

  Chen, H., Yang, B., Liu, J., Zhou, X. N. & Yu, P. S., 10 Jul 2019, In: IEEE Access. 7, p. 108458-108473 16 p., 8758808.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Mining 100%
  • Planning 55%
  • Diffusion 53%
  • Patient monitoring 28%
  • Public health 25%
  15 Citations (Scopus)

• Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking

  Chen, H., Yang, B., Pei, H. & LIU, J., Jan 2019, In: IEEE Access. 7, p. 2633-2642 10 p., 8587238.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Industry 100%
  • Simulation 86%
  • Viruses 40%
  • Electric power transmission networks 37%
  • Visualization 26%
  42 Citations (Scopus)

• Uncovering the relationship between point-of-interests-related human mobility and socioeconomic status

  Li, D. & LIU, J., Jun 2019, In: Telematics and Informatics. 39, p. 49-63 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Marketing 100%
  • Experiments 36%
  5 Citations (Scopus)

• Unifying Structural Proximity and Equivalence for Network Embedding

  Shi, B., Zhou, C., Qiu, H., Xu, X. & Liu, J., 1 Aug 2019, In: IEEE Access. 7, p. 106124-106138 15 p., 8784281.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Random Walk 100%
  • Mining 79%
  • Flexibility 55%
  • Vector spaces 35%
  • Factorization 34%
  13 Citations (Scopus)

• User recommendation for promoting information diffusion in social networks

  Li, D., Wang, W., Jin, C., Ma, J., Sun, X., Xu, Z., Li, S. & LIU, J., 15 Nov 2019, In: Physica A: Statistical Mechanics and its Applications. 534, 121536.

  Research output: Contribution to journal › Journal article › peer-review

  • Information Diffusion 100%
  • Social Networks 73%
  • Granularity 65%
  • Recommendations 64%
  • recommendations 63%
  7 Citations (Scopus)
• 2018

  Automatic extraction of behavioral paterns for elderly mobility and daily routine analysis

  CHEN, L., CHEUNG, K. W., LIU, J. & NG, J. K. Y., Apr 2018, In: ACM Transactions on Intelligent Systems and Technology. 9, 5, 54.

  Research output: Contribution to journal › Journal article › peer-review

  • Smart Home 100%
  • Methodology 49%
  • Trajectories 47%
  • Flow graphs 44%
  • Finite automata 36%
  11 Citations (Scopus)

• Identifying key bird species and geographical hotspots of avian influenza A (H7N9) virus in China

  Shi, B., Zhan, X. M., Zheng, J. X., Qiu, H., Liang, D., Ye, Y. M., Yang, G. J., Liu, Y. & Liu, J., 11 Oct 2018, In: Infectious Diseases of Poverty. 7, 1, 97.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • H7N9 Subtype Influenza A Virus 100%
  • Influenza in Birds 78%
  • Influenza A virus 70%
  • Birds 68%
  • contagious disease 62%
  6 Citations (Scopus)

• Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range

  LUO, D., WAN, X., LIU, J. & TONG, T., Jun 2018, In: Statistical Methods in Medical Research. 27, 6, p. 1785-1805 21 p.

  Research output: Contribution to journal › Journal article › peer-review

  Open Access

  • Quartile 100%
  • Evidence-Based Medicine 75%
  • Sample mean 72%
  • Sample Size 59%
  • Evidence 55%
  1408 Citations (Scopus)

• Semi-Supervised Ensemble Clustering Based on Selected Constraint Projection

  Yu, Z., Luo, P., LIU, J., Wong, H. S., You, J., Han, G. & Zhang, J., 1 Dec 2018, In: IEEE Transactions on Knowledge and Data Engineering. 30, 12, p. 2394-2407 14 p., 8323237.

  Research output: Contribution to journal › Journal article › peer-review

  • Ensemble 100%
  • Clustering 95%
  • Projection 74%
  • Statistical tests 58%
  • Weighting 50%
  46 Citations (Scopus)
• 2017

  A comparative study on swarm intelligence for structure learning of Bayesian networks

  Ji, J., Yang, C., LIU, J., Liu, J. & Yin, B., 1 Nov 2017, In: Soft Computing. 21, 22, p. 6713-6738 26 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Swarm Intelligence 100%
  • Structure Learning 93%
  • Bayesian Networks 75%
  • Swarm intelligence 71%
  • Comparative Study 67%
  11 Citations (Scopus)

• A Component-Based Diffusion Model with Structural Diversity for Social Networks

  Bao, Q., CHEUNG, K. W., ZHANG, Y. & LIU, J., Apr 2017, In: IEEE Transactions on Cybernetics. 47, 4, p. 1078-1089 12 p., 7437433.

  Research output: Contribution to journal › Journal article › peer-review

  • Blogs 100%
  • Structural dynamics 92%
  • Electric network analysis 84%
  • Redundancy 70%
  34 Citations (Scopus)

• Adaptive Ensembling of Semi-Supervised Clustering Solutions

  Yu, Z., Kuang, Z., LIU, J., Chen, H., Zhang, J., You, J., Wong, H. S. & Han, G., Aug 2017, In: IEEE Transactions on Knowledge and Data Engineering. 29, 8, p. 1577-1590 14 p., 7904723.

  Research output: Contribution to journal › Journal article › peer-review

  • Semi-supervised Clustering 100%
  • Genes 51%
  • Adaptive Processes 42%
  • Ensemble 40%
  • Machine learning 39%
  51 Citations (Scopus)

• Application of bio-inspired control of AmphiHex-I in detection of Oncomelania hupensis, the amphibious snail intermediate host of Schistosoma japonicum

  Zhou, Y., Zhong, B., Fang, T., LIU, J., Zhou, X. & Zhang, S., 2017, In: Industrial Robot. 44, 2, p. 242-250 9 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Biocontrol 100%
  • Robots 36%
  • Public health 22%
  • Remote control 19%
  • Nonlinear equations 10%
  5 Citations (Scopus)

• Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare

  Yang, B., Pei, H., Chen, H., LIU, J. & Xia, S., 1 Aug 2017, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 39, 8, p. 1532-1546 15 p.

  Research output: Contribution to journal › Journal article › peer-review

  • Healthcare 100%
  • Contact 69%
  • Tensors 60%
  • Deconvolution 47%
  • Spatial Pattern 43%
  11 Citations (Scopus)