Yosep Chong
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Oncology
- Pathology and Forensic Medicine top 10%
- Co-authors
- Nishant ThakurChang Suk KangJamshid Abdul‐GhafarKwangil YimChan Kwon JungTae Hwan ParkHong‐Jun YoonRizwan Alam
- Topics
- AI in cancer detection (25 papers)Radiomics and Machine Learning in Medical Imaging (21 papers)Cervical Cancer and HPV Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Yosep Chong
75 papers receiving 819 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 319
- Radiology, Nuclear Medicine and Imaging 277
- Surgery 193
- Oncology 184
- Pathology and Forensic Medicine 118
Countries citing papers authored by Yosep Chong
This map shows the geographic impact of Yosep Chong'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 Yosep Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosep Chong more than expected).
Fields of papers citing papers by Yosep Chong
This network shows the impact of papers produced by Yosep Chong. 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 Yosep Chong. The network helps show where Yosep Chong may publish in the future.
Co-authorship network of co-authors of Yosep Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Yosep Chong. A scholar is included among the top collaborators of Yosep Chong 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 Yosep Chong. Yosep Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 23 | |
| 18 | 10 | |
| 19 | Ectopic adrenal tissue in right uterine adnexa: A case report | 4 |
| 20 | 24 |
About Yosep Chong
Yosep Chong is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 86 papers that have together received 836 indexed citations. Recurring topics across this work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (21 papers) and Cervical Cancer and HPV Research (8 papers). The work is most often cited by research in Health Informatics (80 citations), Radiology, Nuclear Medicine and Imaging (277 citations) and Artificial Intelligence (319 citations). Yosep Chong has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Nishant Thakur, Chang Suk Kang, Jamshid Abdul‐Ghafar, Kwangil Yim, Chan Kwon Jung, Tae Hwan Park, Hong‐Jun Yoon, Rizwan Alam, Eunjung Lee and Heounjeong Go. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Molecular Sciences.
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.