Tianchen Chen

599 citations
64 papers · 385 · h-index 10

Impact in

Papers in

Tianchen Chen

55 papers receiving 371 citations

Peers

Tianchen Chen
Comparison fields: 5 of 24
  • Nuclear and High Energy Physics 307
  • Biomedical Engineering 52
  • Surfaces, Coatings and Films 6
  • Mechanics of Materials 11
  • Control and Systems Engineering 11
Replace Ruben J. Fair with:
Ruben J. Fair United States
Yatian Pei China
Xiaohui Qian China
M. Galuska Germany
Xiaoshan Jiang China
Mohammad Sohail Amjad France
Probir K. Ghoshal United States
S. Hays United States
Tomáš Marek Czechia
Yuuji Kojima Japan
Tianchen Chen relative to Ruben J. Fair United States Ruben J. Fair's profile →
Citations per field
00.5×5×11.3×
Ruben J. Fair · 1×
Citations per year

Countries citing papers authored by Tianchen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianchen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Tianchen 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 Tianchen Chen Line = papers co-authored together Tianchen Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200764
2 202325
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5 202317
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8 202312
9 202311
10 202410
11 20238
12 20238
13 20238
14 20238
15 20248
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About Tianchen Chen

Tianchen Chen is a scholar working on Nuclear and High Energy Physics, Human-Computer Interaction, Computer Graphics and Computer-Aided Design, Surfaces, Coatings and Films and Management of Technology and Innovation, having authored 64 papers that have together received 385 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (43 papers), Particle physics theoretical and experimental studies (30 papers), Usability and User Interface Design (2 papers), Quality Function Deployment in Product Design (1 paper), Digital Media and Visual Art (1 paper), Interactive and Immersive Displays (1 paper), Digital Marketing and Social Media (1 paper) and Robotic Locomotion and Control (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (307 citations), Biomedical Engineering (52 citations), Surfaces, Coatings and Films (6 citations), Mechanics of Materials (11 citations) and Control and Systems Engineering (11 citations). Tianchen Chen has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Jonathan E. Clark, D. E. Koditschek, Haldun Komsuoḡlu, Robert J. Full, Daniel I. Goldman and Faze Chen. Their work appears in journals such as Physical review. D, Physical Review Letters, Journal of High Energy Physics, Physics Letters B and Entertainment Computing.

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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