David Chung

978 citations
50 papers · 743 · h-index 14

Impact in

Papers in

David Chung

43 papers receiving 694 citations

Peers

David Chung
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 308
  • Computational Mathematics 6
  • Computer Graphics and Computer-Aided Design 33
  • Health, Toxicology and Mutagenesis 92
  • Pollution 78
Replace Carlo Colombo with:
Carlo Colombo Italy
Conghui He China
Thomas Larsson Sweden
Dongqing Zhang China
Felix Klein Switzerland
Theodore Lim United States
Liangchen Zhou China
Sejin Lee South Korea
Maosheng Ye China
Lei Shen China
David Chung relative to Carlo Colombo Italy Carlo Colombo's profile →
Citations per field
00.5×1.5×2.2×
Carlo Colombo · 1×
Citations per year

Countries citing papers authored by David Chung

Since Specialization
Citations

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

Fields of papers citing papers by David Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 201679
3 201269
4 198651
5 198732
6 201130
7 200828
8 201324
9 201619
10 198619
11 201517
12 202116
13 198516
14 201114
15 201313
16 198612
17 201910
18 20208
19 20158
20 20218

About David Chung

David Chung is a scholar working on Health, Toxicology and Mutagenesis, Computer Vision and Pattern Recognition, Pollution, Industrial and Manufacturing Engineering and Economics and Econometrics, having authored 50 papers that have together received 743 indexed citations. Recurring topics across this work include Data Visualization and Analytics (7 papers), Mercury impact and mitigation studies (7 papers), Video Analysis and Summarization (6 papers), Toxic Organic Pollutants Impact (6 papers), Sports Analytics and Performance (5 papers), Environmental Toxicology and Ecotoxicology (5 papers), Recycling and Waste Management Techniques (5 papers) and Air Quality and Health Impacts (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Computational Mathematics (6 citations), Computer Graphics and Computer-Aided Design (33 citations), Health, Toxicology and Mutagenesis (92 citations) and Pollution (78 citations). David Chung has collaborated with scholars based in South Korea, United Kingdom and Canada. Frequent co-authors include Min Chen, Walter H. Chan, Robert S. Laramee, Rita Borgo, I.W. Griffiths, Eamonn Maguire, Phil Legg, Matthew Ward, Helwig Hauser and Johannes Kehrer. Their work appears in journals such as Computer Graphics Forum, Environmental Monitoring and Assessment, The Science of The Total Environment, IEEE Transactions on Visualization and Computer Graphics and Water Air & Soil Pollution.

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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