Heung‐Kook Choi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Media Technology top 5%
- Co-authors
- Subrata BhattacharjeeNuwan MadusankaNam-Hoon ChoHee‐Cheol KimEwert BengtssonJanos VaskoKenneth WesterTorsten Jarkrans
- Topics
- AI in cancer detection (30 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Medical Image Segmentation Techniques (21 papers)
- Partner nations
- South KoreaSwedenSri Lanka
In The Last Decade
Heung‐Kook Choi
78 papers receiving 747 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 334
- Artificial Intelligence 259
- Radiology, Nuclear Medicine and Imaging 210
- Neurology 140
- Media Technology 109
Countries citing papers authored by Heung‐Kook Choi
This map shows the geographic impact of Heung‐Kook Choi'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 Heung‐Kook Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heung‐Kook Choi more than expected).
Fields of papers citing papers by Heung‐Kook Choi
This network shows the impact of papers produced by Heung‐Kook Choi. 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 Heung‐Kook Choi. The network helps show where Heung‐Kook Choi may publish in the future.
Co-authorship network of co-authors of Heung‐Kook Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Heung‐Kook Choi. A scholar is included among the top collaborators of Heung‐Kook Choi 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 Heung‐Kook Choi. Heung‐Kook Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | Multichannel Convolution Neural Network Classification for the Detection of Histological Pattern in Prostate Biopsy Images | 1 |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | Computer Aided System for Breast Mass Detection and Analysis in Microwave Tomography | 1 |
| 12 | Development of Quantification Method for Bioluminescence Imaging | 0 |
| 13 | Optimized Brightness Preserving Weight Clustering Histogram Equalization | 1 |
| 14 | 15 | |
| 15 | Contrast Enhancement using Histogram Equalization with a New Neighborhood Metrics | 4 |
| 16 | 3D Quantitative Analysis of Cell Nuclei Based on Digital Image Cytometry | 1 |
| 17 | 1 | |
| 18 | Development of Evaluation Method of Regional Contractility of Left Ventricle Using Gated Myocardial SPECT and Assessment of Reproducibility | 1 |
| 19 | Development of Gated Myocardial SPECT Analysis Software and Evaluation of Left Ventricular Contraction Function | 2 |
| 20 | 37 |
About Heung‐Kook Choi
Heung‐Kook Choi is a scholar working on Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 814 indexed citations. Recurring topics across this work include AI in cancer detection (30 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Medical Image Segmentation Techniques (21 papers). The work is most often cited by research in Neurology (140 citations), Computer Vision and Pattern Recognition (334 citations) and Media Technology (109 citations). Heung‐Kook Choi has collaborated with scholars based in South Korea, Sweden and Sri Lanka. Frequent co-authors include Subrata Bhattacharjee, Nuwan Madusanka, Nam-Hoon Cho, Hee‐Cheol Kim, Ewert Bengtsson, Janos Vasko, Kenneth Wester, Torsten Jarkrans, Hyunju Choi and Goo‐Bo Jeong. Their work appears in journals such as IEEE Access, RSC Advances and Journal of Clinical Pathology.
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.