James C. Wu

13 total papers · 2.0k total citations
9 papers, 1.1k citations indexed

About

James C. Wu is a scholar working on Artificial Intelligence, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, James C. Wu has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Surgery and 2 papers in Computational Theory and Mathematics. Recurrent topics in James C. Wu's work include Logic, programming, and type systems (5 papers), Logic, Reasoning, and Knowledge (5 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). James C. Wu is often cited by papers focused on Logic, programming, and type systems (5 papers), Logic, Reasoning, and Knowledge (5 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). James C. Wu collaborates with scholars based in United States and Germany. James C. Wu's co-authors include Michael Kifer, Georg Lausen, Maisie L. Shindo, Eric C. Wong, Andrzej Jesmanowicz, Kenneth B. Simons, Everton Arrindell, James S. Hyde, Louis Portugal and Barry L. Wenig and has published in prestigious journals such as Journal of the ACM, Otolaryngology and Head & Neck.

In The Last Decade

James C. Wu

9 papers receiving 899 citations

Hit Papers

Logical foundations of ob... 1995 2026 2005 2015 1995 200 400 600

Author Peers

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

Author Last Decade Papers Cites
James C. Wu 762 445 352 182 172 9 1.1k
Ian Dickinson 546 0.7× 288 0.6× 376 1.1× 77 0.4× 69 0.4× 36 974
Sachin Garg 114 0.1× 281 0.6× 207 0.6× 50 0.3× 30 0.2× 49 1.0k
R. E. Johnson 218 0.3× 141 0.3× 297 0.8× 93 0.5× 37 0.2× 29 990
Harry Chen 264 0.3× 532 1.2× 355 1.0× 52 0.3× 122 0.7× 27 1.1k
Erich Grädel 643 0.8× 213 0.5× 46 0.1× 274 1.5× 49 0.3× 47 1.3k
A. Mili 530 0.7× 262 0.6× 823 2.3× 20 0.1× 25 0.1× 65 1.2k
Hyoil Han 800 1.0× 135 0.3× 424 1.2× 17 0.1× 97 0.6× 45 1.0k
A.K. Majumdar 643 0.8× 180 0.4× 268 0.8× 22 0.1× 129 0.8× 59 1.3k
Calvin E Beebe 379 0.5× 88 0.2× 163 0.5× 49 0.3× 15 0.1× 9 1.1k
Dmitriy Ryaboy 274 0.4× 621 1.4× 501 1.4× 11 0.1× 146 0.8× 8 1.1k

Countries citing papers authored by James C. Wu

Since Specialization
Citations

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

Fields of papers citing papers by James C. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James C. Wu. 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 James C. Wu. The network helps show where James C. Wu may publish in the future.

Co-authorship network of co-authors of James C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of James C. Wu. A scholar is included among the top collaborators of James C. Wu 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 James C. Wu. James C. Wu 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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