Huawei Shen

995 citations
44 papers · 526 indexed · h-index 14
Topics
Advanced Graph Neural Networks (20 papers)Topic Modeling (15 papers)Complex Network Analysis Techniques (10 papers)

In The Last Decade

Huawei Shen

42 papers receiving 510 citations

Peers

Huawei Shen
Comparison fields: 5 of 73
  • Artificial Intelligence 337
  • Statistical and Nonlinear Physics 174
  • Information Systems 149
  • Computer Vision and Pattern Recognition 63
  • Management Science and Operations Research 46
Replace Víctor Fresno with:
Víctor Fresno Spain
Cane Wing-ki Leung Hong Kong
Ayman Farahat United States
Hung‐Hsuan Chen Taiwan
Junzhou Zhao China
Engin Demir Türkiye
Денис Турдаков Russia
Marina Danilevsky United States
Saša Petrović United Kingdom
Farhad Oroumchian Iran
Huawei Shen relative to Víctor Fresno Spain Víctor Fresno's profile →
Citations per field
00.5×6.4×
Víctor Fresno · 1×
Citations per year

Countries citing papers authored by Huawei Shen

Since Specialization
Citations

This map shows the geographic impact of Huawei 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 Huawei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Shen more than expected).

Fields of papers citing papers by Huawei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huawei 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 Huawei Shen. The network helps show where Huawei Shen may publish in the future.

Co-authorship network of co-authors of Huawei Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Huawei Shen. A scholar is included among the top collaborators of Huawei Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huawei Shen. Huawei Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 2
5 6
6 30
7 7
8 1
9 12
10 7
11 14
12 1
13 1
14 18
15 14
16 13
17
Evolutionary Game Model and Analysis Methods for Network Group Behavior
13
18 60
19
Exploring Collaboratively Annotated Data for Automatic Annotation
1
20
Research on Enterprise Track of TREC 2007
6

About Huawei Shen

Huawei Shen is a scholar working on Computational Mathematics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 44 papers that have together received 526 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (20 papers), Topic Modeling (15 papers) and Complex Network Analysis Techniques (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (174 citations), Artificial Intelligence (337 citations) and Information Systems (149 citations). Huawei Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xueqi Cheng, Jinhua Gao, Wentao Ouyang, Bingjie Sun, Fangtao Li, Shenghua Liu, Fuxin Li, Junjie Huang, Liang Hou and Yongqing Wang. Their work appears in journals such as PLoS ONE, Chemical Engineering Journal and Neurocomputing.

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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