Chia-Ming Cheng

443 citations
23 papers · 298 indexed · h-index 10

Impact in

Papers in

Chia-Ming Cheng

19 papers receiving 286 citations

Peers

Chia-Ming Cheng
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 148
  • Computer Graphics and Computer-Aided Design 24
  • Signal Processing 50
  • Materials Chemistry 104
  • Nuclear Energy and Engineering 1
Replace Zhengtao Yu with:
Zhengtao Yu China
Qian Gong United States
Zhihui Diao China
Tobias Birnbaum Belgium
Jingtao Zhang China
Jian Ren China
N.G. Theofanous Greece
Emmanouil Darakis Ireland
Scott Campbell United States
Saima Kanwal China
Chia-Ming Cheng relative to Zhengtao Yu China Zhengtao Yu'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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201093
2 200842
3 201135
4 200927
5 201821
6 200211
7 200911
8 202211
9 200710
10 20209
11 20096
12 20076
13 20093
14 20103
15 20103
16 20112
17 20092
18 20061
19 20011
20 20081

About Chia-Ming Cheng

Chia-Ming Cheng is a scholar working on Computer Vision and Pattern Recognition, Electronic, Optical and Magnetic Materials, Materials Chemistry, Media Technology and Aerospace Engineering, having authored 23 papers that have together received 298 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Ga2O3 and related materials (3 papers), Robotics and Sensor-Based Localization (3 papers), ZnO doping and properties (3 papers), Advanced Optical Imaging Technologies (3 papers), Advanced Image Processing Techniques (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Face recognition and analysis (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Computer Graphics and Computer-Aided Design (24 citations), Signal Processing (50 citations), Materials Chemistry (104 citations) and Nuclear Energy and Engineering (1 citation). Chia-Ming Cheng has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Shang‐Hong Lai, Horng‐Tay Jeng, C.S. Hsue, M.A. Van Hove, Woei Wu Pai, Geng Xu, Xieqiu Zhang, K.‐D. Tsuei, Xingqiang Shi and Aidi Zhao. Their work appears in journals such as Applied Surface Science, Machine Vision and Applications, Physica B Condensed Matter, Physical Review Letters and Pattern Recognition.

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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