Yashen Wang

76 total papers · 609 total citations
32 papers, 275 citations indexed

About

Yashen Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yashen Wang has authored 32 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yashen Wang's work include Topic Modeling (13 papers), Advanced Graph Neural Networks (9 papers) and Text and Document Classification Technologies (5 papers). Yashen Wang is often cited by papers focused on Topic Modeling (13 papers), Advanced Graph Neural Networks (9 papers) and Text and Document Classification Technologies (5 papers). Yashen Wang collaborates with scholars based in China, United States and Russia. Yashen Wang's co-authors include Heyan Huang, Chong Feng, Haiyong Xie, Huanhuan Zhang, Xiang Wang, Xiangnan He, Jiawei Chen, Xiong Gao, Jiahui Gu and Gang Wang and has published in prestigious journals such as The Journal of Chemical Physics, IEEE Access and Journal of Physics Condensed Matter.

In The Last Decade

Yashen Wang

24 papers receiving 271 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yashen Wang 159 73 58 36 31 32 275
Stelios Andreadis 84 0.5× 32 0.4× 79 1.4× 28 0.8× 9 0.3× 33 288
Tulika Saha 249 1.6× 30 0.4× 33 0.6× 43 1.2× 37 1.2× 32 329
E. Grace Mary Kanaga 97 0.6× 32 0.4× 13 0.2× 28 0.8× 22 0.7× 47 297
Ahmed Al Marouf 154 1.0× 56 0.8× 36 0.6× 25 0.7× 10 0.3× 37 324
Shaowu Zhang 229 1.4× 62 0.8× 39 0.7× 22 0.6× 27 0.9× 27 309
S. Mohanavalli 99 0.6× 37 0.5× 33 0.6× 64 1.8× 42 1.4× 24 282
Hatoon S. AlSagri 114 0.7× 38 0.5× 13 0.2× 47 1.3× 55 1.8× 27 295
Christine Largeron 140 0.9× 60 0.8× 87 1.5× 8 0.2× 11 0.4× 33 293
Laurissa Tokarchuk 81 0.5× 65 0.9× 50 0.9× 19 0.5× 6 0.2× 54 310
K. Anandakumar 76 0.5× 63 0.9× 85 1.5× 13 0.4× 11 0.4× 17 280

Countries citing papers authored by Yashen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yashen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yashen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yashen Wang. A scholar is included among the top collaborators of Yashen Wang 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 Yashen Wang. Yashen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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