Kwang Gi Kim
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- Radiomics and Machine Learning in Medical Imaging 45
- Retinal Imaging and Analysis 17
- Health Informatics top 1%
- Ophthalmology top 1%
- Glaucoma and retinal disorders 36
- Retinal Diseases and Treatments 18
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- Lung Cancer Diagnosis and Treatment 23
- Oncology top 5%
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- AI in cancer detection 24
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- Medical Imaging and Analysis 22
- Photoacoustic and Ultrasonic Imaging 18
- Co-authors
- Young Jae KimJin Mo GooChang Min ParkPin WangHyun Ju LeeChang Hyun LeeNatnaree SiriwonSeung Hong Choi
- Journals
- Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)SHILAP Revista de lepidopterología (4 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Kwang Gi Kim
351 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 182
- Radiology, Nuclear Medicine and Imaging 2.5k
- Health Informatics 132
- Ophthalmology 566
- Pulmonary and Respiratory Medicine 1.3k
- Oncology 924
Countries citing papers authored by Kwang Gi Kim
This map shows the geographic impact of Kwang Gi Kim'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 Kwang Gi Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwang Gi Kim more than expected).
Fields of papers citing papers by Kwang Gi Kim
This network shows the impact of papers produced by Kwang Gi Kim. 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 Kwang Gi Kim. The network helps show where Kwang Gi Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kwang Gi Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 2 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 143 | |
| 19 | 2017 | 252 | |
| 20 | 2016 | 26 |
About Kwang Gi Kim
Kwang Gi Kim is a scholar working on Health Informatics, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 387 papers that have together received 6.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (45 papers), Glaucoma and retinal disorders (36 papers), AI in cancer detection (24 papers), Lung Cancer Diagnosis and Treatment (23 papers), Medical Imaging and Analysis (22 papers), Photoacoustic and Ultrasonic Imaging (18 papers), Retinal Diseases and Treatments (18 papers) and Retinal Imaging and Analysis (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.5k citations), Health Informatics (132 citations) and Ophthalmology (566 citations). Kwang Gi Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Young Jae Kim, Jin Mo Goo, Chang Min Park, Pin Wang, Hyun Ju Lee, Chang Hyun Lee, Natnaree Siriwon, Seung Hong Choi, Kyongtae T. Bae and Jeong‐Min Hwang. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.
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.