Chia-Ming Cheng

454 citations
27 papers · 366 · h-index 11

Impact in

Papers in

Chia-Ming Cheng

24 papers receiving 344 citations

Peers

Chia-Ming Cheng
Comparison fields: 5 of 35
  • Computer Vision and Pattern Recognition 199
  • Signal Processing 46
  • Media Technology 16
  • Organic Chemistry 48
  • Biomedical Engineering 49
Replace Minxian Wu with:
Minxian Wu China
Dekun Yang China
Kallol Bhattacharya India
Hideyoshi Horimai Japan
Hong‐Jae Shin South Korea
Kuan Zhu China
Abd El–Naser A. Mohamed Egypt
Mu Xu United States
Emmanouil Darakis Ireland
Zhihui Diao China
Chia-Ming Cheng relative to Minxian Wu China Minxian Wu's profile →
Citations per field
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Minxian Wu · 1×
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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 200847
3 201135
4 200932
5 202024
6 202222
7 200216
8 200712
9 200911
10 202011
11 202311
12 20098
13 20076
14 20096
15 20236
16 20093
17 20103
18 20103
19 20113
20 20092

About Chia-Ming Cheng

Chia-Ming Cheng is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Surfaces, Coatings and Films, Geology and Hardware and Architecture, having authored 27 papers that have together received 366 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (4 papers), Advanced Neural Network Applications (3 papers), Face recognition and analysis (3 papers), Electronic and Structural Properties of Oxides (2 papers), 3D Shape Modeling and Analysis (2 papers), Image Enhancement Techniques (2 papers) and Surface and Thin Film Phenomena (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Signal Processing (46 citations), Media Technology (16 citations), Organic Chemistry (48 citations) and Biomedical Engineering (49 citations). Chia-Ming Cheng has collaborated with scholars based in Taiwan, Switzerland and China. Frequent co-authors include Shang‐Hong Lai, C.S. Hsue, Horng‐Tay Jeng, Xudong Xiao, Xingqiang Shi, Aidi Zhao, Xieqiu Zhang, Michel A. Van Hove, K.‐D. Tsuei and Woei Wu Pai. Their work appears in journals such as IEEE Transactions on Broadcasting, Physical Review Letters, Science and Technology of Welding & Joining, Physica B Condensed Matter 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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