Oliver Chang
Impact in
Papers in
- Oncology 16
- Cutaneous Melanoma Detection and Management 9
-
- AI in cancer detection 8
- Co-authors
- Juhee Cho (2 shared papers)Nayeon Kim (2 shared papers)Se Kyung Lee (2 shared papers)Jeong Eon Lee (2 shared papers)Young‐Hyuck Im (2 shared papers)Seok Jin Nam (2 shared papers)Lisa K. Koch (2 shared papers)Jung‐Hyun Yang (1 shared paper)
- Journals
- Journal of Cutaneous Pathology (5 papers)American Journal of Clinical Pathology (2 papers)Journal of Digital Imaging (1 paper)Psycho-Oncology (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- United StatesIranAustralia
In The Last Decade
Oliver Chang
30 papers receiving 646 citations
Peers
Comparison fields: 5 of 102
- Oncology 397
- Urology 69
- Dermatology 93
- Aerospace Engineering 156
- Biophysics 22
Countries citing papers authored by Oliver Chang
This map shows the geographic impact of Oliver Chang'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 Oliver Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver Chang more than expected).
Fields of papers citing papers by Oliver Chang
This network shows the impact of papers produced by Oliver Chang. 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 Oliver Chang. The network helps show where Oliver Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Oliver Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 183 | |
| 2 | 2014 | 158 | |
| 3 | 2014 | 60 | |
| 4 | 2010 | 39 | |
| 5 | 2020 | 31 | |
| 6 | 2011 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2022 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2017 | 6 |
About Oliver Chang
Oliver Chang is a scholar working on Oncology, Artificial Intelligence, Computer Vision and Pattern Recognition, Dermatology and Ophthalmology, having authored 31 papers that have together received 666 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (8 papers), Digital Imaging for Blood Diseases (5 papers), Innovations in Medical Education (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Software Engineering Research (2 papers), Clinical Reasoning and Diagnostic Skills (2 papers) and Ocular Infections and Treatments (2 papers). The work is most often cited by research in Oncology (397 citations), Urology (69 citations), Dermatology (93 citations), Aerospace Engineering (156 citations) and Biophysics (22 citations). Oliver Chang has collaborated with scholars based in United States, Iran and Australia. Frequent co-authors include Juhee Cho, Nayeon Kim, Se Kyung Lee, Jeong Eon Lee, Young‐Hyuck Im, Seok Jin Nam, Lisa K. Koch, Jung‐Hyun Yang, Danbee Kang and Eun Kyung Choi. Their work appears in journals such as Journal of Cutaneous Pathology, American Journal of Clinical Pathology, Journal of Digital Imaging, Psycho-Oncology and Journal of Investigative Dermatology.
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.