Desai Chen

1.4k citations
19 papers · 920 · h-index 14

Impact in

Papers in

Desai Chen

19 papers receiving 883 citations

Peers

Desai Chen
Comparison fields: 5 of 93
  • Computer Graphics and Computer-Aided Design 111
  • Automotive Engineering 155
  • Human-Computer Interaction 47
  • Artificial Intelligence 260
  • Architecture 12
Replace Andrew Spielberg with:
Andrew Spielberg United States
Adriana Schulz United States
Haisen Zhao China
Martin L. Demaine United States
Pitchaya Sitthi‐Amorn United States
James Millar Ritchie United Kingdom
Devin Balkcom United States
Panos S. Shiakolas United States
Xiaogang Jin China
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Desai Chen relative to Andrew Spielberg United States Andrew Spielberg's profile →
Citations per field
00.5×9.8×
Andrew Spielberg · 1×
Citations per year

Countries citing papers authored by Desai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Desai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Desai Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Desai Chen Line = papers co-authored together Desai Chen links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013174
2 201792
3 202382
4 201881
5 201378
6 201772
7 201752
8 201750
9 201549
10 201640
11 201336
12 201834
13 201627
14
SEMAFOR 1.0: A Probabilistic Frame-Semantic Parser
201020
15 202312
16
Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2-4, 2010, Los Angeles, California, USA
201010
17 20189
18 20181
19 20251

About Desai Chen

Desai Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Computer Graphics and Computer-Aided Design and Civil and Structural Engineering, having authored 19 papers that have together received 920 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), Computer Graphics and Visualization Techniques (4 papers), Topic Modeling (4 papers), Visual Attention and Saliency Detection (3 papers), 3D Surveying and Cultural Heritage (3 papers), Topology Optimization in Engineering (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (111 citations), Automotive Engineering (155 citations), Human-Computer Interaction (47 citations), Artificial Intelligence (260 citations) and Architecture (12 citations). Desai Chen has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent co-authors include Wojciech Matusik, Bo Zhu, Mélina Skouras, Noah A. Smith, Dipanjan Das, Nathan Schneider, David I. W. Levin, André F. T. Martins, Pitchaya Sitthi‐Amorn and Piotr Didyk. Their work appears in journals such as ACM Transactions on Graphics, Computational Linguistics, Computer Graphics Forum, Science Advances and Nature.

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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