Chia-Ming Cheng

445 citations
26 papers · 333 · h-index 10

Impact in

Papers in

Chia-Ming Cheng

23 papers receiving 322 citations

Peers

Chia-Ming Cheng
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 180
  • Computer Graphics and Computer-Aided Design 30
  • Signal Processing 56
  • Media Technology 25
  • Materials Chemistry 104
Replace Pan Zhang with:
Pan Zhang China
Qian Gong United States
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Chia-Ming Cheng relative to Pan Zhang China Pan Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chia-Ming Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Ming Cheng. 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 Chia-Ming Cheng. The network helps show where Chia-Ming Cheng may publish in the future.

Co-authors

The 25 scholars most cited alongside Chia-Ming Cheng, 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 Chia-Ming Cheng Line = papers co-authored together Chia-Ming Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201094
2 200845
3 201136
4 200931
5 201821
6 200216
7 202213
8 200712
9 200911
10 202010
11 20098
12 20096
13 20076
14 20235
15 20104
16 20093
17 20103
18 20112
19 20092
20
Self Image Rectification for Uncalibrated Stereo Video with Varying Camera Motions and Zooming Effects.
20091

About Chia-Ming Cheng

Chia-Ming Cheng is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Electronic, Optical and Magnetic Materials, Computer Graphics and Computer-Aided Design and Materials Chemistry, having authored 26 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Advanced Image Processing Techniques (5 papers), Computer Graphics and Visualization Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers), Image Enhancement Techniques (3 papers), Face recognition and analysis (3 papers), Advanced Optical Imaging Technologies (3 papers) and ZnO doping and properties (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (180 citations), Computer Graphics and Computer-Aided Design (30 citations), Signal Processing (56 citations), Media Technology (25 citations) and Materials Chemistry (104 citations). Chia-Ming Cheng has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Shang‐Hong Lai, C.S. Hsue, Horng‐Tay Jeng, Xudong Xiao, M.A. Van Hove, Chun-Hsien Lin, Aidi Zhao, K.‐D. Tsuei, Xingqiang Shi and Geng Xu. Their work appears in journals such as Physica B Condensed Matter, Science and Technology of Welding & Joining, Physical Review Letters, Journal of Magnetism and Magnetic Materials and Computers & Graphics.

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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