Ken Chang
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 2%
- Genetics top 2%
- Pulmonary and Respiratory Medicine top 10%
- Health Informatics top 0.2%
- Co-authors
- Jayashree Kalpathy–CramerAndrew BeersJames M. BrownRaymond Y. HuangMichael F. ChiangJ. Peter CampbellDeniz ErdoğmuşStratis Ioannidis
- Topics
- Radiomics and Machine Learning in Medical Imaging (17 papers)Glioma Diagnosis and Treatment (12 papers)AI in cancer detection (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageScientific Reports
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ken Chang
49 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 1.4k
- Artificial Intelligence 521
- Genetics 443
- Pulmonary and Respiratory Medicine 336
- Health Informatics 283
Countries citing papers authored by Ken Chang
This map shows the geographic impact of Ken 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 Ken Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Chang more than expected).
Fields of papers citing papers by Ken Chang
This network shows the impact of papers produced by Ken 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 Ken Chang. The network helps show where Ken Chang may publish in the future.
Co-authorship network of co-authors of Ken Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Chang. A scholar is included among the top collaborators of Ken Chang 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 Ken Chang. Ken Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 8 | |
| 5 | 21 | |
| 6 | 25 | |
| 7 | 147 | |
| 8 | 5 | |
| 9 | 105 | |
| 10 | 47 | |
| 11 | 37 | |
| 12 | 77 | |
| 13 | 22 | |
| 14 | 53 | |
| 15 | 40 | |
| 16 | 99 | |
| 17 | Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networksbreakdown → | 396 |
| 18 | 88 | |
| 19 | 46 | |
| 20 | 1 |
About Ken Chang
Ken Chang is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 51 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (17 papers), Glioma Diagnosis and Treatment (12 papers) and AI in cancer detection (11 papers). The work is most often cited by research in Health Informatics (283 citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Genetics (443 citations). Ken Chang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jayashree Kalpathy–Cramer, Andrew Beers, James M. Brown, Raymond Y. Huang, Michael F. Chiang, J. Peter Campbell, Deniz Erdoğmuş, Stratis Ioannidis, R.V. Paul Chan and Susan Ostmo. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Scientific Reports.
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.