Tao Zhou

Statistical and Nonlinear Physics · Physical review. E, Statistical, nonlinear, and soft matter physics · 2005–2016

A researcher in the Science corpus: 17 papers; trusts 95 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 303 citations into it; #431 of 10,127 by trust here, #527 by citations
• Molecular Biology — 78 citations into it; #4,553 of 17,773 by trust here, #14,509 by citations
• Artificial Intelligence — 69 citations into it; #4,791 of 35,345 by trust here, #8,810 by citations
• Computer Networks and Communications — 66 citations into it
• Information Systems — 63 citations into it; #7,667 of 8,771 by trust here, #2,361 by citations
• Sociology and Political Science — 50 citations into it
• Management Science and Operations Research — 32 citations into it; #8,859 of 11,946 by trust here, #6,888 by citations
• Statistics and Probability — 24 citations into it

Whom Tao Zhou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Linyuan Lu
3. Romualdo Pastor-Satorras
4. Roger Guimerà
5. Jon M. Kleinberg
6. Albert-László Barabási
7. Duncan J. Watts
8. Réka Albert
9. Lise Getoor
10. Alessandro Vespignani

Who trusts Tao Zhou overall

1. Sophie Ahrens
2. Linyuan Lu
3. Muhan Zhang
4. Duanbing Chen
5. Víctor Martínez
6. Peter Csermely
7. William L. Hamilton
8. Maryam Bagherian
9. Yankai Lin
10. Baoxu Shi

Papers from Tao Zhou's perspective

Ordered by how strongly the researchers Tao Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

1. Collective dynamics of ‘small-world’ networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Social Network Analysis: Methods and Applications
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Emergence of Scaling in Random Networks
7. The Structure and Function of Complex Networks
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. The structure of scientific collaboration networks.

Their papers

• Solving the apparent diversity-accuracy dilemma of recommender systems (2008) — 970 citations
• Similarity index based on local paths for link prediction of complex networks. (2009) — 585 citations
• Efficient routing on complex networks. (2005) — 543 citations
• Link prediction in weighted networks: The role of weak ties (2010) — 319 citations
• Leaders in Social Networks, the Delicious Case (2011) — 746 citations
• The H-index of a network node and its relation to degree and coreness (2016) — 666 citations
• Vital nodes identification in complex networks (2016) — 1,177 citations
• Toward link predictability of complex networks (2015) — 397 citations
• Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering (2013) — 347 citations
• Identifying influential nodes in complex networks (2012) — 1,145 citations
• Solving the cold-start problem in recommender systems with social tags (2010) — 360 citations
• Link Prediction in Complex Networks: A Survey (2010) — 2,843 citations
• Predicting missing links via local information (2009) — 1,775 citations
• Role of activity in human dynamics (2007) — 164 citations
• Bipartite network projection and personal recommendation. (2007) — 993 citations
• Epidemic spreading on heterogeneous networks with identical infectivity (2006) — 207 citations
• Traffic dynamics based on local routing protocol on a scale-free network. (2006) — 343 citations