Hee Il Hahn

426 total citations
10 papers, 302 citations indexed

About

Hee Il Hahn is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hee Il Hahn has authored 10 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hee Il Hahn's work include Medical Image Segmentation Techniques (6 papers), AI in cancer detection (6 papers) and Image and Signal Denoising Methods (4 papers). Hee Il Hahn is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), AI in cancer detection (6 papers) and Image and Signal Denoising Methods (4 papers). Hee Il Hahn collaborates with scholars based in United States and South Korea. Hee Il Hahn's co-authors include Robin N. Strickland and has published in prestigious journals such as IEEE Transactions on Medical Imaging, UA Campus Repository (The University of Arizona) and Proceedings - International Conference on Image Processing.

In The Last Decade

Hee Il Hahn

9 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hee Il Hahn United States	5	215	206	77	55	30	10	302
Pavel Kisilev United States	9	164 0.8×	118 0.6×	86 1.1×	30 0.5×	9 0.3×	31	313
Zhineng Chen China	10	236 1.1×	135 0.7×	142 1.8×	39 0.7×	16 0.5×	29	408
Andrzej Obuchowicz Poland	11	170 0.8×	295 1.4×	143 1.9×	15 0.3×	25 0.8×	26	383
Indra Kanta Maitra India	9	208 1.0×	222 1.1×	110 1.4×	26 0.5×	20 0.7×	22	362
Salam Shuleenda Devi India	10	187 0.9×	53 0.3×	35 0.5×	75 1.4×	13 0.4×	21	247
Santanu Roy India	8	135 0.6×	181 0.9×	89 1.2×	35 0.6×	8 0.3×	19	277
Prema T. Akkasaligar India	10	191 0.9×	75 0.4×	37 0.5×	56 1.0×	33 1.1×	33	283
Nisreen I. R. Yassin Egypt	6	155 0.7×	278 1.3×	229 3.0×	26 0.5×	24 0.8×	12	431
Mo Li China	5	147 0.7×	336 1.6×	226 2.9×	23 0.4×	29 1.0×	24	457
Victor Pomponiu Italy	10	175 0.8×	139 0.7×	40 0.5×	19 0.3×	9 0.3×	21	319

Countries citing papers authored by Hee Il Hahn

Since Specialization

Citations

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

Fields of papers citing papers by Hee Il Hahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Il Hahn. 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 Hee Il Hahn. The network helps show where Hee Il Hahn may publish in the future.

Co-authorship network of co-authors of Hee Il Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Hee Il Hahn. A scholar is included among the top collaborators of Hee Il Hahn 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 Hee Il Hahn. Hee Il Hahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Hahn, Hee Il. (2021). Proposing Effective Regularization Terms for Improvement of WGAN. Journal of Korea Multimedia Society. 24(1). 13–20. 2 indexed citations

2.

Hahn, Hee Il, et al.. (2003). Implementation of algorithm to decode two-dimensional barcode PDF-417. 2. 1791–1794. 18 indexed citations

3.

Strickland, Robin N. & Hee Il Hahn. (2002). Wavelet methods for extracting objects from complex backgrounds. 30. 7–12.

4.

Strickland, Robin N. & Hee Il Hahn. (2002). Wavelet transforms for detecting microcalcifications in mammography. UA Campus Repository (The University of Arizona). 1. 402–406. 17 indexed citations

5.

Strickland, Robin N. & Hee Il Hahn. (2002). Wavelet transform matched filters for the detection and classification of microcalcifications in mammography. Proceedings - International Conference on Image Processing. 1. 422–425. 12 indexed citations

6.

Strickland, Robin N. & Hee Il Hahn. (2002). The wavelet transform as a multiresolution matched filter and zero-crossing detector for detecting microcalcifications in mammograms. 2. 1047–1048. 4 indexed citations

7.

Strickland, Robin N. & Hee Il Hahn. (1996). Wavelet transforms for detecting microcalcifications in mammograms. IEEE Transactions on Medical Imaging. 15(2). 218–229. 242 indexed citations

8.

Strickland, Robin N., et al.. (1996). <title>Wavelet methods for combining CAD with enhancement of mammograms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2710. 888–903. 3 indexed citations

9.

Strickland, Robin N. & Hee Il Hahn. (1994). <title>Detection of microcalcifications in mammograms using wavelets</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2303. 430–441. 3 indexed citations

10.

Strickland, Robin N. & Hee Il Hahn. (1993). <title>Tumor detection at multiple scales</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2035. 180–191. 1 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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