Tianrun Chen

59 papers receiving 603 citations

Hit Papers

SAM-Adapter: Adapting Segment Anything in Underperformed Scenes 2023 · 142 citations
1420+1+2Years since publication4080120

Peers

Tianrun Chen
Comparison fields: 5 of 91
  • Computer Graphics and Computer-Aided Design 50
  • Computer Vision and Pattern Recognition 232
  • Acoustics and Ultrasonics 9
  • Ocean Engineering 138
  • Geophysics 111
Replace Isaac Amidror with:
Isaac Amidror Switzerland
Junxi Feng China
T. Randen Norway
C. Cafforio Italy
Jingsheng Zhai China
Lukas Mosser United Kingdom
Gianluca Gennarelli Italy
Hai-Han Sun Australia
Frank M. Caimi United States
Wenyu Chen China
Tianrun Chen relative to Isaac Amidror Switzerland Isaac Amidror's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tianrun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianrun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tianrun 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 Tianrun Chen Line = papers co-authored together Tianrun 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
SAM-Adapter: Adapting Segment Anything in Underperformed Scenes
Hit paper breakdown →
2023142
2 202279
3 202352
4 201233
5 201332
6 201130
7 200924
8 200524
9 202323
10 202422
11 202321
12 202211
13 20238
14 20087
15 20246
16 20246
17 20226
18 20236
19 20235
20 20135

About Tianrun Chen

Tianrun Chen is a scholar working on Computer Vision and Pattern Recognition, Ocean Engineering, Oceanography, Geophysics and Computational Mechanics, having authored 64 papers that have together received 620 indexed citations. Recurring topics across this work include Underwater Acoustics Research (15 papers), Seismic Waves and Analysis (13 papers), Geophysical Methods and Applications (12 papers), Advanced Vision and Imaging (11 papers), Seismic Imaging and Inversion Techniques (10 papers), Computer Graphics and Visualization Techniques (9 papers), Underwater Vehicles and Communication Systems (9 papers) and 3D Shape Modeling and Analysis (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (50 citations), Computer Vision and Pattern Recognition (232 citations), Acoustics and Ultrasonics (9 citations), Ocean Engineering (138 citations) and Geophysics (111 citations). Tianrun Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lanyun Zhu, Shangzhan Zhang, Purnima Ratilal, Ying Zang, Xinding Fang, Michael Fehler, Chaotao Ding, Zejian Li, Nicholas C. Makris and Yan Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Industrial Informatics, Geophysical Journal International, IEEE Transactions on Pattern Analysis and Machine Intelligence and Geophysics.

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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