Jim X. Chen

144 total papers · 1.1k total citations
80 papers, 578 citations indexed

About

Jim X. Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Jim X. Chen has authored 80 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Graphics and Computer-Aided Design and 11 papers in Computational Mechanics. Recurrent topics in Jim X. Chen's work include Computer Graphics and Visualization Techniques (13 papers), 3D Shape Modeling and Analysis (8 papers) and Human Motion and Animation (7 papers). Jim X. Chen is often cited by papers focused on Computer Graphics and Visualization Techniques (13 papers), 3D Shape Modeling and Analysis (8 papers) and Human Motion and Animation (7 papers). Jim X. Chen collaborates with scholars based in United States, China and Singapore. Jim X. Chen's co-authors include Niels da Vitoria Lobo, Tianshu Zhou, Edward J. Wegman, Wei Quan, Harry Wechsler, Daniel B. Carr, Weihua Zhang, Xiaogang Jin, Shibin Gao and Dong Liu and has published in prestigious journals such as The Journal of Physical Chemistry B, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Jim X. Chen

69 papers receiving 533 citations

Author Peers

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

Author Last Decade Papers Cites
Jim X. Chen 195 131 106 93 44 80 578
Dino Schweitzer 177 0.9× 125 1.0× 106 1.0× 70 0.8× 47 1.1× 45 638
Weidong Yang 269 1.4× 40 0.3× 108 1.0× 207 2.2× 19 0.4× 64 675
Ching-Kuang Shene 252 1.3× 244 1.9× 212 2.0× 82 0.9× 19 0.4× 76 643
Kalpathi Subramanian 219 1.1× 172 1.3× 225 2.1× 36 0.4× 13 0.3× 63 589
David Chelberg 314 1.6× 57 0.4× 51 0.5× 70 0.8× 25 0.6× 67 517
Fei Yang 316 1.6× 56 0.4× 41 0.4× 127 1.4× 5 0.1× 89 674
Rafael J. Segura 181 0.9× 141 1.1× 81 0.8× 34 0.4× 31 0.7× 46 554
Miguel Ángel García 397 2.0× 59 0.5× 51 0.5× 61 0.7× 7 0.2× 66 595
Mingmin Zhang 211 1.1× 29 0.2× 30 0.3× 26 0.3× 32 0.7× 70 508
Lorenzo Porzi 431 2.2× 84 0.6× 84 0.8× 101 1.1× 11 0.3× 31 666

Countries citing papers authored by Jim X. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jim X. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jim X. Chen

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