I‐Chen Lin

587 citations
44 papers · 304 · h-index 11

Impact in

Papers in

I‐Chen Lin

42 papers receiving 280 citations

Peers

I‐Chen Lin
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 209
  • Human-Computer Interaction 48
  • Computer Graphics and Computer-Aided Design 27
  • Geology 23
  • Computational Mechanics 51
Replace Ryosuke Ichikari with:
Ryosuke Ichikari Japan
Yu‐Hui Wen China
Guoxian Song Singapore
Hyung‐gun Chi United States
Sandra Alemany Spain
Frank B. ter Haar Netherlands
Lin Gui China
Ryo Hachiuma Japan
Matthew Flagg United States
Sławomir Tadeja United Kingdom
I‐Chen Lin relative to Ryosuke Ichikari Japan Ryosuke Ichikari's profile →
Citations per field
00.5×
Ryosuke Ichikari · 1×
Citations per year

Countries citing papers authored by I‐Chen Lin

Since Specialization
Citations

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

Fields of papers citing papers by I‐Chen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside I‐Chen Lin, 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 I‐Chen Lin Line = papers co-authored together I‐Chen Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201637
2 200525
3 200222
4 202220
5 202219
6 202119
7 201316
8 201016
9 201112
10 200211
11 201810
12 20239
13 20157
14 20037
15 20177
16 19996
17 20045
18 20165
19 20174
20 20124

About I‐Chen Lin

I‐Chen Lin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Signal Processing and Human-Computer Interaction, having authored 44 papers that have together received 304 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (11 papers), Face recognition and analysis (10 papers), Robotics and Sensor-Based Localization (8 papers), Human Pose and Action Recognition (6 papers), 3D Shape Modeling and Analysis (6 papers), Augmented Reality Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Computer Graphics and Visualization Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Human-Computer Interaction (48 citations), Computer Graphics and Computer-Aided Design (27 citations), Geology (23 citations) and Computational Mechanics (51 citations). I‐Chen Lin has collaborated with scholars based in Taiwan, Ghana and Japan. Frequent co-authors include Ming‐Han Tsai, Ming Ouhyoung, Li-Chen Wu, Chien‐Yi Huang, Cheng-Hao Chen, Tzong‐Jer Yang, Chi‐Wen Chen, Keng-hao Chang, Kwan‐Liu Ma and Yu-Shuen Wang. Their work appears in journals such as Multimedia Tools and Applications, IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, Obesity Surgery and Computer Graphics Forum.

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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