Chung-Ming Wang

1.3k citations
57 papers · 1.1k · h-index 18

Impact in

Papers in

Chung-Ming Wang

51 papers receiving 965 citations

Peers

Chung-Ming Wang
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 983
  • Computer Graphics and Computer-Aided Design 135
  • Media Technology 41
  • Signal Processing 51
  • Artificial Intelligence 70
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Justin Hensley United States
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Weiß United States
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Citations per field
00.5×10×15×21.7×
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Citations per year

Countries citing papers authored by Chung-Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Chung-Ming Wang, 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 Chung-Ming Wang Line = papers co-authored together Chung-Ming Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007288
2 200870
3 200660
4 201656
5 201150
6
(Journal of Systems and Software, 81(1):150-158)A high quality steganographic method with pixel-value differencing and modulus function
200846
7 200939
8 201134
9 201033
10 200633
11 200632
12 200929
13
Reversible data hiding for point-sampled geometry
200726
14
A Novel Color Transfer Algorithm for Image Sequences
200425
15 200725
16 200923
17 200723
18 200618
19 200616
20
A DATA HIDING SCHEME FOR HIGH DYNAMIC RANGE IMAGES
201116

About Chung-Ming Wang

Chung-Ming Wang is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Atomic and Molecular Physics, and Optics and Signal Processing, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (34 papers), Chaos-based Image/Signal Encryption (26 papers), Digital Media Forensic Detection (18 papers), Computer Graphics and Visualization Techniques (17 papers), Image Enhancement Techniques (11 papers), Advanced Vision and Imaging (10 papers), Advanced Image Processing Techniques (5 papers) and Color Science and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (983 citations), Computer Graphics and Computer-Aided Design (135 citations), Media Technology (41 citations), Signal Processing (51 citations) and Artificial Intelligence (70 citations). Chung-Ming Wang has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Nan-I Wu, Chwei‐Shyong Tsai, Min‐Shiang Hwang, Kuo-Chen Wu, Iuon‐Chang Lin, Pengcheng Wang, Woei Lin, Fang‐Pang Lin, Yuan‐Yu Tsai and Hsien-Chu Wu. Their work appears in journals such as Journal of Systems and Software, IEEE Access, Applied Sciences, Displays and The Visual Computer.

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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