Dingshuo Chen

10 total papers · 529 total citations
3 papers, 333 citations indexed

About

Dingshuo Chen is a scholar working on Artificial Intelligence, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Dingshuo Chen has authored 3 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Molecular Biology. Recurrent topics in Dingshuo Chen's work include Computational Drug Discovery Methods (1 paper), Machine Learning in Materials Science (1 paper) and Machine Learning in Bioinformatics (1 paper). Dingshuo Chen is often cited by papers focused on Computational Drug Discovery Methods (1 paper), Machine Learning in Materials Science (1 paper) and Machine Learning in Bioinformatics (1 paper). Dingshuo Chen collaborates with scholars based in China, United States and Hong Kong. Dingshuo Chen's co-authors include Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng, Zekai Chen, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Zhiqiang Zhang and Jun Zhou and has published in prestigious journals such as arXiv (Cornell University).

In The Last Decade

Dingshuo Chen

2 papers receiving 322 citations

Hit Papers

Learning Graph Structures... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Dingshuo Chen 271 170 167 62 27 3 333
Jihun Yi 231 0.9× 99 0.6× 103 0.6× 65 1.0× 25 0.9× 4 317
Raghavendra Chalapathy 265 1.0× 119 0.7× 78 0.5× 54 0.9× 44 1.6× 4 382
Xiyang Hu 306 1.1× 143 0.8× 93 0.6× 68 1.1× 11 0.4× 11 378
Ismo Kärkkäinen 252 0.9× 74 0.4× 87 0.5× 33 0.5× 17 0.6× 8 320
Sucheta Chauhan 171 0.6× 78 0.5× 80 0.5× 34 0.5× 20 0.7× 5 383
Rémi Domingues 219 0.8× 67 0.4× 48 0.3× 41 0.7× 11 0.4× 3 321
Zhaomin Chen 263 1.0× 198 1.2× 73 0.4× 59 1.0× 29 1.1× 11 365
Bangalore Ravi Kiran 281 1.0× 145 0.9× 43 0.3× 48 0.8× 10 0.4× 8 390
Rudolf B. Blažek 146 0.5× 130 0.8× 41 0.2× 82 1.3× 22 0.8× 8 350
Muhammad Khawar Bashir 263 1.0× 305 1.8× 130 0.8× 38 0.6× 51 1.9× 9 389

Countries citing papers authored by Dingshuo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Dingshuo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingshuo Chen

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