H.-S. Don

666 citations
16 papers · 467 · h-index 6

Impact in

    • Optical measurement and interference techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Vision and Imaging
    • Medical Image Segmentation Techniques
    • Image Processing Techniques and Applications

Papers in

H.-S. Don

16 papers receiving 441 citations

Peers

H.-S. Don
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 367
  • Media Technology 97
  • Geology 18
  • Computational Mechanics 50
  • Civil and Structural Engineering 49
Replace Tomoki Uemura with:
Tomoki Uemura Japan
Thang M. Hoang Canada
Salvador Botello Mexico
L.W. Cahill Australia
Changku Sun China
Yuzhi Zhao Hong Kong
Lianqing Zhu China
Rajshekhar Gannavarpu India
H.-S. Don relative to Tomoki Uemura Japan Tomoki Uemura's profile →
Citations per field
00.5×2.6×
Tomoki Uemura · 1×
Citations per year

Countries citing papers authored by H.-S. Don

Since Specialization
Citations

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

Fields of papers citing papers by H.-S. Don

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside H.-S. Don, 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 H.-S. Don Line = papers co-authored together H.-S. Don links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1993217
2 1989192
3 199114
4 20027
5 19886
6 20025
7 19914
8 19914
9 20033
10 19893
11 20053
12 20023
13 19912
14 20032
15 20031
16 19901

About H.-S. Don

H.-S. Don is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Management Science and Operations Research and Aerospace Engineering, having authored 16 papers that have together received 467 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Image Retrieval and Classification Techniques (3 papers), Image and Object Detection Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Vision and Imaging (3 papers), Robotics and Sensor-Based Localization (2 papers), Surface Roughness and Optical Measurements (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (367 citations), Media Technology (97 citations), Geology (18 citations), Computational Mechanics (50 citations) and Civil and Structural Engineering (49 citations). H.-S. Don has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include F. P. Chiang, Yunhua Tan, H.D. Cheng, E.J. Powers, G. A. Hallock, Lawrence T. Kou, R. L. Hickok and Jungmi Hong. Their work appears in journals such as Tribology Transactions, Review of Scientific Instruments, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Circuits and Systems and Applied Optics.

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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