H.-S. Don

666 total citations
16 papers, 467 citations indexed

About

H.-S. Don is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, H.-S. Don has authored 16 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Computational Mechanics. Recurrent topics in H.-S. Don's work include Image and Object Detection Techniques (3 papers), Neural Networks and Applications (3 papers) and Advanced Vision and Imaging (3 papers). H.-S. Don is often cited by papers focused on Image and Object Detection Techniques (3 papers), Neural Networks and Applications (3 papers) and Advanced Vision and Imaging (3 papers). H.-S. Don collaborates with scholars based in United States, Taiwan and Canada. H.-S. Don's co-authors include F. P. Chiang, Yunhua Tan, E.J. Powers, H.D. Cheng, Jungmi Hong, Lawrence T. Kou, G. A. Hallock and R. L. Hickok and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Review of Scientific Instruments and IEEE Transactions on Circuits and Systems.

In The Last Decade

H.-S. Don

16 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H.-S. Don United States 6 367 97 52 50 49 16 467
Lianqing Zhu China 10 202 0.6× 71 0.7× 67 1.3× 49 1.0× 24 0.5× 28 344
Alejandro Federico Argentina 15 346 0.9× 151 1.6× 98 1.9× 61 1.2× 62 1.3× 48 547
Prasanna Rangarajan United States 9 163 0.4× 59 0.6× 39 0.8× 38 0.8× 14 0.3× 43 368
Rajshekhar Gannavarpu India 16 572 1.6× 331 3.4× 86 1.7× 55 1.1× 58 1.2× 65 694
Tongbo Chen Germany 12 461 1.3× 69 0.7× 32 0.6× 145 2.9× 14 0.3× 26 659
Salvador Botello Mexico 10 300 0.8× 60 0.6× 41 0.8× 37 0.7× 130 2.7× 32 590
Toygar Akgün Türkiye 6 171 0.5× 179 1.8× 19 0.4× 20 0.4× 30 0.6× 20 334
Pierre Ferré United Kingdom 10 108 0.3× 39 0.4× 29 0.6× 26 0.5× 26 0.5× 20 468

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-authorship network of co-authors of H.-S. Don

This figure shows the co-authorship network connecting the top 25 collaborators of H.-S. Don. A scholar is included among the top collaborators of H.-S. Don based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H.-S. Don. H.-S. Don is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Don, H.-S., et al.. (2005). Skew Detection of Document Images Using Line Structural Information. 1. 704–715. 3 indexed citations
2.
Don, H.-S., et al.. (2003). High-capacity discrete exponential BAM. 2. 178–183. 3 indexed citations
3.
Don, H.-S., et al.. (2003). A structural approach to finding the point correspondences between two frames. 1810–1815. 1 indexed citations
4.
Don, H.-S., et al.. (2003). Representation and recognition of 3D curves. 523–528. 2 indexed citations
5.
Don, H.-S., et al.. (2002). Pattern recognition using 3-D moments. i. 540–544. 7 indexed citations
6.
Don, H.-S., et al.. (2002). Stroke segmentation as a basis for structural matching of Chinese characters. 9. 35–40. 5 indexed citations
7.
Don, H.-S., et al.. (2002). A geometrical approach to evidential reasoning. 1847–1852. 3 indexed citations
8.
Chiang, F. P., et al.. (1993). Digital speckle-displacement measurement using a complex spectrum method. Applied Optics. 32(11). 1839–1839. 217 indexed citations
9.
Don, H.-S., et al.. (1991). A neural network approach to 3D object identification and pose estimation. 1. 2600–2605 vol.3. 2 indexed citations
10.
Don, H.-S., et al.. (1991). Evidential reasoning using neural networks. 497–502 vol.1. 4 indexed citations
11.
Don, H.-S., et al.. (1991). Blur identification and image restoration using a multilayer neural network. 1360. 2558–2563 vol.3. 14 indexed citations
12.
Don, H.-S., et al.. (1991). A parallel Kalman algorithm for fast learning of multilayer neural networks. i. 2044–2049 vol.3. 4 indexed citations
13.
Don, H.-S., et al.. (1990). Use of Digital Image Processing Techniques for Analysis of Lubricant Oxidation Products. Tribology Transactions. 33(2). 193–200. 1 indexed citations
14.
Don, H.-S., et al.. (1989). 3-D moment forms: their construction and application to object identification and positioning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 11(10). 1053–1064. 192 indexed citations
15.
Cheng, H.D., H.-S. Don, & Lawrence T. Kou. (1989). VLSI architecture for digital picture comparison. IEEE Transactions on Circuits and Systems. 36(10). 1326–1335. 3 indexed citations
16.
Powers, E.J., et al.. (1988). Spectral analysis of nonstationary plasma fluctuation data via digital complex demodulation. Review of Scientific Instruments. 59(8). 1757–1759. 6 indexed citations

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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