Don Hong

32 papers receiving 209 citations

Peers

Don Hong
Comparison fields: 5 of 80
  • Computational Mathematics 2
  • Computer Graphics and Computer-Aided Design 11
  • Computational Mechanics 64
  • Computer Vision and Pattern Recognition 40
  • Statistics and Probability 15
Replace Ting‐Li Chen with:
Ting‐Li Chen Taiwan
Haim Schweitzer United States
José Luis Montaña Spain
Talya Meltzer United States
Deepti Pachauri United States
Mohamed Hebiri France
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H. Rom United States
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Citations per field
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Citations per year

Countries citing papers authored by Don Hong

Since Specialization
Citations

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

Fields of papers citing papers by Don Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202230
2 199529
3 200521
4 200721
5 200913
6 202013
7 201012
8 20049
9 20108
10 20037
11 20005
12 20055
13 20075
14 20224
15 20194
16 20004
17 20114
18 20164
19 19953
20 20233

About Don Hong

Don Hong is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition, Mechanics of Materials, Molecular Biology and Cognitive Neuroscience, having authored 33 papers that have together received 227 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (11 papers), Image and Signal Denoising Methods (6 papers), Numerical methods in engineering (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Medical Image Segmentation Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Computer Graphics and Computer-Aided Design (11 citations), Computational Mechanics (64 citations), Computer Vision and Pattern Recognition (40 citations) and Statistics and Probability (15 citations). Don Hong has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yu Shyr, Rong Qing Jia, Chuanlong Zhang, Charles K. Chui, Jiancheng Zou, Shuo Chen, Huan‐Wen Liu, Larry L. Schumaker, Douglas P. Hardin and Qiang Wu. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Computational and Applied Mathematics, Computers, materials & continua/Computers, materials & continua (Print), Transactions of the American Mathematical Society and IEEE Transactions on Audio Speech and Language Processing.

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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