Chung-chieh Shan

119 total papers · 2.3k total citations
53 papers, 890 citations indexed

About

Chung-chieh Shan is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Chung-chieh Shan has authored 53 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 20 papers in Computational Theory and Mathematics and 9 papers in Computer Networks and Communications. Recurrent topics in Chung-chieh Shan's work include Logic, programming, and type systems (26 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (13 papers). Chung-chieh Shan is often cited by papers focused on Logic, programming, and type systems (26 papers), Logic, Reasoning, and Knowledge (13 papers) and Formal Methods in Verification (13 papers). Chung-chieh Shan collaborates with scholars based in United States, Japan and Netherlands. Chung-chieh Shan's co-authors include Oleg Kiselyov, Jacques Carette, Amr Sabry, Raffaella Bernardi, Marco Baroni, Yukiyoshi Kameyama, Chris Barker, Daniel P. Friedman, Olivier Danvy and Dariusz Biernacki and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Chung-chieh Shan

49 papers receiving 796 citations

Author Peers

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

Author Last Decade Papers Cites
Chung-chieh Shan 791 285 193 134 127 53 890
Rowan Davies 648 0.8× 337 1.2× 121 0.6× 165 1.2× 133 1.0× 26 923
R. D. Tennent 656 0.8× 367 1.3× 105 0.5× 92 0.7× 146 1.1× 37 745
William C. Rounds 803 1.0× 565 2.0× 23 0.1× 51 0.4× 96 0.8× 41 938
Michael Kohlhase 570 0.7× 430 1.5× 19 0.1× 68 0.5× 200 1.6× 117 789
Mark E. Stickel 825 1.0× 422 1.5× 38 0.2× 58 0.4× 173 1.4× 37 932
Aarne Ranta 936 1.2× 296 1.0× 13 0.1× 80 0.6× 36 0.3× 76 1.0k
Marcelo Finger 533 0.7× 258 0.9× 56 0.3× 80 0.6× 230 1.8× 81 721
Jonathan Stavi 597 0.8× 520 1.8× 21 0.1× 18 0.1× 67 0.5× 20 845
Gerda Janssens 602 0.8× 343 1.2× 154 0.8× 178 1.3× 186 1.5× 72 882
Jonathan P. Seldin 669 0.8× 514 1.8× 18 0.1× 30 0.2× 42 0.3× 26 760

Countries citing papers authored by Chung-chieh Shan

Since Specialization
Citations

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

Fields of papers citing papers by Chung-chieh Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-chieh Shan. 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 Chung-chieh Shan. The network helps show where Chung-chieh Shan may publish in the future.

Co-authorship network of co-authors of Chung-chieh Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-chieh Shan. A scholar is included among the top collaborators of Chung-chieh Shan 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 Chung-chieh Shan. Chung-chieh Shan 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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