Oliver Chang

29 papers and 573 indexed citations i.

About

Oliver Chang is a scholar working on Oncology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Oliver Chang has authored 29 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 8 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Oliver Chang’s work include Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (8 papers) and Digital Imaging for Blood Diseases (5 papers). Oliver Chang is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), AI in cancer detection (8 papers) and Digital Imaging for Blood Diseases (5 papers). Oliver Chang collaborates with scholars based in United States, Iran and New Zealand. Oliver Chang's co-authors include Seok Jin Nam, Nayeon Kim, Jeong Eon Lee, Young‐Hyuck Im, Juhee Cho, Se Kyung Lee, Lisa K. Koch, Eun Kyung Choi, Danbee Kang and Michi M. Shinohara and has published in prestigious journals such as CHEST Journal, Journal of Investigative Dermatology and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Oliver Chang i

Fields of papers citing papers by Oliver Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Oliver Chang

Since Specialization
Citations

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).

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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