Weiwei Shen

80 papers receiving 2.1k citations

Weiwei Shen's Hit Papers

Social network analysis of animal behaviour: a promising tool for the study of sociality 2008 · 623 citations
6230+6+12Years since publication200400600

Peers

Weiwei Shen
Comparison fields: 5 of 177
  • Developmental Biology 132
  • Ecology, Evolution, Behavior and Systematics 405
  • Nephrology 117
  • Signal Processing 160
  • Social Psychology 259
Replace Ken Matsumoto with:
Ken Matsumoto Japan
Haibin Wang China
Krishna M. Roskin United States
Matko Bošnjak United Kingdom
Junho Lee South Korea
Yoshihide Hayashizaki Japan
Fons J. Verbeek Netherlands
Richard A. Spritz United States
Marvin B. Shapiro United States
Timothy A. Bell United States
Weiwei Shen relative to Ken Matsumoto Japan Ken Matsumoto's profile →
Citations per field
00.5×10.8×
Ken Matsumoto · 1×
Citations per year

Countries citing papers authored by Weiwei Shen

Since Specialization
Citations

This map shows the geographic impact of Weiwei Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weiwei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Shen more than expected).

Fields of papers citing papers by Weiwei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weiwei Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weiwei Shen. The network helps show where Weiwei Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Weiwei Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weiwei Shen Line = papers co-authored together Weiwei Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Social network analysis of animal behaviour: a promising tool for the study of sociality
Hit paper breakdown →
2008623
2 2019207
3 2019116
4 2015103
5 200983
6 201257
7 201154
8 200741
9 202039
10 201438
11 202427
12 202126
13 202425
14 201725
15 201325
16 201424
17 201624
18 201123
19 202123
20 202322

About Weiwei Shen

Weiwei Shen is a scholar working on Molecular Biology, Oncology, Immunology, Computer Vision and Pattern Recognition and Signal Processing, having authored 85 papers that have together received 2.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (9 papers), Adhesion, Friction, and Surface Interactions (4 papers), Advanced Vision and Imaging (4 papers), Image and Video Quality Assessment (4 papers), Thermochemical Biomass Conversion Processes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Advanced Data Compression Techniques (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Developmental Biology (132 citations), Ecology, Evolution, Behavior and Systematics (405 citations), Nephrology (117 citations), Signal Processing (160 citations) and Social Psychology (259 citations). Weiwei Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Daniel T. Blumstein, Ferenc Jordán, Tina W. Wey, Jianhua Zhao, Xiaoyang Zeng, Yibo Fan, Lili Zhou, Youhua Liu, Jinhua Miao and Autumn Ruiz. Their work appears in journals such as Cell Death Discovery, Resources Conservation and Recycling, Journal of Analytical and Applied Pyrolysis, Oncology Reports and Tumor Biology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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