Zejiang Shen

31 total papers · 534 total citations
8 papers, 61 citations indexed

About

Zejiang Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Zejiang Shen has authored 8 papers receiving a total of 61 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Civil and Structural Engineering. Recurrent topics in Zejiang Shen's work include Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (2 papers). Zejiang Shen is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers) and Advanced Text Analysis Techniques (2 papers). Zejiang Shen collaborates with scholars based in United States, Israel and China. Zejiang Shen's co-authors include Xili Wan, Ye Feng, Xinjie Guan, Shuwen Liu, Kyle Lo, Doug Downey, Sam Skjonsberg, Lucy Lu Wang, Mark E Neumann and Bailey Kuehl and has published in prestigious journals such as Transactions of the Association for Computational Linguistics.

In The Last Decade

Zejiang Shen

7 papers receiving 59 citations

Author Peers

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

Author Last Decade Papers Cites
Zejiang Shen 26 21 18 15 7 8 61
Dominique Beaini 22 0.8× 8 0.4× 30 1.7× 6 0.4× 18 2.6× 8 81
Nitin Kamra 23 0.9× 10 0.5× 26 1.4× 5 0.3× 8 1.1× 9 71
Ashish Khetan 9 0.3× 6 0.3× 23 1.3× 10 0.7× 7 1.0× 10 55
Ehsan Amid 48 1.8× 46 2.2× 29 1.6× 21 1.4× 10 1.4× 9 94
Romain Gay 4 0.2× 24 1.1× 28 1.6× 20 1.3× 11 1.6× 6 86
Michael Lutter 8 0.3× 9 0.4× 32 1.8× 23 1.5× 5 0.7× 10 94
You-Lei Fu 52 2.0× 5 0.2× 51 2.8× 7 0.5× 6 0.9× 8 214
Bruce Cowan 17 0.7× 9 0.4× 3 0.2× 26 1.7× 4 0.6× 7 61
Jiajun Zheng 10 0.4× 22 1.0× 7 0.4× 12 0.8× 3 0.4× 9 104
Glenn Jocher 29 1.1× 6 0.3× 5 0.3× 4 0.3× 7 1.0× 10 58

Countries citing papers authored by Zejiang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zejiang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zejiang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Zejiang Shen. A scholar is included among the top collaborators of Zejiang 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 Zejiang Shen. Zejiang Shen 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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