Choon-Ching Ng

407 citations
12 papers · 237 · h-index 8

Impact in

Papers in

    • Face recognition and analysis 7
    • Generative Adversarial Networks and Image Synthesis 4
    • Face and Expression Recognition 3
    • Authorship Attribution and Profiling 3
    • Natural Language Processing Techniques 2
    • Text and Document Classification Technologies 2

Choon-Ching Ng

11 papers receiving 231 citations

Peers

Choon-Ching Ng
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 141
  • Health Information Management 22
  • Occupational Therapy 15
  • Dermatology 30
  • Experimental and Cognitive Psychology 32
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Citations per year

Countries citing papers authored by Choon-Ching Ng

Since Specialization
Citations

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

Fields of papers citing papers by Choon-Ching Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Choon-Ching Ng. 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 Choon-Ching Ng. The network helps show where Choon-Ching Ng may publish in the future.

Co-authors

The 22 scholars most cited alongside Choon-Ching Ng, 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 Choon-Ching Ng Line = papers co-authored together Choon-Ching Ng links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201755
2 201846
3 201535
4 201830
5 201723
6 202116
7
An investigation on local wrinkle-based extractor of age estimation
201410
8 201510
9 20177
10 20094
11
Arabic Script Web Document Language Identifications Using Neural Network
20071
12 20100

About Choon-Ching Ng

Choon-Ching Ng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Dermatology, Information Systems and Occupational Therapy, having authored 12 papers that have together received 237 indexed citations. Recurring topics across this work include Face recognition and analysis (7 papers), Generative Adversarial Networks and Image Synthesis (4 papers), Face and Expression Recognition (3 papers), Facial Rejuvenation and Surgery Techniques (3 papers), Authorship Attribution and Profiling (3 papers), Spam and Phishing Detection (2 papers), Natural Language Processing Techniques (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (141 citations), Health Information Management (22 citations), Occupational Therapy (15 citations), Dermatology (30 citations) and Experimental and Cognitive Psychology (32 citations). Choon-Ching Ng has collaborated with scholars based in United Kingdom, Taiwan and Malaysia. Frequent co-authors include Moi Hoon Yap, Baihua Li, Nicholas Costen, Adrian K. Davison, Cliff Lansley, Gee-Sern Hsu, Frank L. Bowling, Katie E. Chatwin, Neil D. Reeves and Satyan Rajbhandari. Their work appears in journals such as IEEE Transactions on Emerging Topics in Computational Intelligence, Journal of Diabetes Science and Technology, IEEE Access, Image and Vision Computing and International Journal of Intelligent Information and Database Systems.

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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