Michael B. Chang
- Artificial Intelligence
- Surgery
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Co-authors
- Antonio TorralbaJoshua B. TenenbaumTomer UllmanThomas L. GriffithsErin GrantPaul M. KruegerFalk LiederFrederick Callaway
- Topics
- Photonic and Optical Devices (4 papers)Semiconductor Lasers and Optical Devices (3 papers)Optical Coatings and Gratings (3 papers)
- Journals
- Journal of the American Academy of DermatologyInternational Journal of Pediatric OtorhinolaryngologyCurrent Opinion in Behavioral Sciences
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael B. Chang
16 papers receiving 224 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 70
- Surgery 44
- Pulmonary and Respiratory Medicine 33
- Computer Vision and Pattern Recognition 29
- Cognitive Neuroscience 25
Countries citing papers authored by Michael B. Chang
This map shows the geographic impact of Michael B. 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 Michael B. Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael B. Chang more than expected).
Fields of papers citing papers by Michael B. Chang
This network shows the impact of papers produced by Michael B. 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 Michael B. Chang. The network helps show where Michael B. Chang may publish in the future.
Co-authorship network of co-authors of Michael B. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Michael B. Chang. A scholar is included among the top collaborators of Michael B. 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 Michael B. Chang. Michael B. 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 | 2 | |
| 2 | 58 | |
| 3 | Automatically Composing Representation Transformations as a Means for Generalization | 11 |
| 4 | 54 | |
| 5 | 30 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | Mycobacterium fortuitum infection following adalimumab treatment for psoriasis and subsequent complication-free treatment with alternate TNF-a blockers. | 7 |
| 10 | 7 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 3 |
About Michael B. Chang
Michael B. Chang is a scholar working on Surfaces, Coatings and Films, Internal Medicine and Dermatology, having authored 16 papers that have together received 234 indexed citations. Recurring topics across this work include Photonic and Optical Devices (4 papers), Semiconductor Lasers and Optical Devices (3 papers) and Optical Coatings and Gratings (3 papers). The work is most often cited by research in General Decision Sciences (15 citations), Internal Medicine (10 citations) and Dermatology (22 citations). Michael B. Chang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Antonio Torralba, Joshua B. Tenenbaum, Tomer Ullman, Thomas L. Griffiths, Erin Grant, Paul M. Krueger, Falk Lieder, Frederick Callaway, Mark D. P. Davis and Julia S. Lehman. Their work appears in journals such as Journal of the American Academy of Dermatology, International Journal of Pediatric Otorhinolaryngology and Current Opinion in Behavioral 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.