Chao‐Hung Lin

8.9k citations
73 papers · 1.4k indexed · h-index 22

Impact in

Papers in

Chao‐Hung Lin

68 papers receiving 1.4k citations

Peers

Chao‐Hung Lin
Comparison fields: 5 of 125
  • Media Technology 377
  • Computer Graphics and Computer-Aided Design 141
  • Computer Vision and Pattern Recognition 637
  • Geology 98
  • Environmental Engineering 218
Replace Wei Gao with:
Wei Gao China
Yongyang Xu China
Feng Gao China
Nicolas Audebert France
Silvano Galliani Switzerland
Zhen Liu China
Olivier Monga France
Ceyuan Yang Hong Kong
Nathan Jacobs United States
Chang Shu Canada
Chao‐Hung Lin relative to Wei Gao China Wei Gao's profile →
Citations per field
00.5×1.5×1.9×
Wei Gao · 1×
Citations per year

Countries citing papers authored by Chao‐Hung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20233
3 20232
4 202342
5 20200
6 20206
7 202029
8 201914
9 201832
10 201331
11 2012207
12 201140
13 201034
14 20088
15 20089
16
Progressive mesh metamorphosis: Animating Geometrical Models
20051
17 200428
18 200118
19 199921
20
Polarized-Body Experiments to Test the Equivalence Principle for Spin-Polarized Electrons
19891

About Chao‐Hung Lin

Chao‐Hung Lin is a scholar working on Computer Graphics and Computer-Aided Design, Media Technology, Geology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 73 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), 3D Shape Modeling and Analysis (13 papers), Remote Sensing in Agriculture (12 papers), Remote Sensing and LiDAR Applications (11 papers), Remote-Sensing Image Classification (11 papers), Advanced Vision and Imaging (9 papers), Advanced Image and Video Retrieval Techniques (9 papers) and Advanced Image Fusion Techniques (8 papers). The work is most often cited by research in Media Technology (377 citations), Computer Graphics and Computer-Aided Design (141 citations), Computer Vision and Pattern Recognition (637 citations), Geology (98 citations) and Environmental Engineering (218 citations). Chao‐Hung Lin has collaborated with scholars based in Taiwan, Indonesia and Vietnam. Frequent co-authors include Tong‐Yee Lee, Shih-Syun Lin, Chung‐Hao Chen, Zhibin Chen, Lalu Muhamad Jaelani, Hone‐Jay Chu, Churn‐Jung Liau, Wei‐Yen Hsu, A. C. Blanco and I−Ru Chen. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ISPRS Journal of Photogrammetry and Remote Sensing, Sensors, IEEE Transactions on Circuits and Systems for Video Technology and Remote Sensing.

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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