Michael B. Chang

16 papers receiving 224 citations

Peers

Michael B. Chang
Comparison fields: 5 of 85
  • General Decision Sciences 15
  • Internal Medicine 10
  • Dermatology 22
  • Artificial Intelligence 70
  • Anesthesiology and Pain Medicine 9
Replace William J. Tuddenham with:
William J. Tuddenham United States
John Whitaker United Kingdom
Ernest W. Chang United States
Jordan J. Bannister Canada
Thomas Schlossbauer Germany
Jayne Seekins United States
John Fenner United Kingdom
Frédéric Richard France
Georgios Kalantzis United States
Michael B. Chang relative to William J. Tuddenham United States William J. Tuddenham's profile →
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Citations per year

Countries citing papers authored by Michael B. Chang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Michael B. Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael B. Chang Line = papers co-authored together Michael B. Chang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201958
2 201654
3 201630
4 201524
5 200115
6
Automatically Composing Representation Transformations as a Means for Generalization
201911
7 20017
8
Mycobacterium fortuitum infection following adalimumab treatment for psoriasis and subsequent complication-free treatment with alternate TNF-a blockers.
20117
9 20137
10 19856
11 19824
12 19813
13 19803
14 20222
15 20152
16 19811

About Michael B. Chang

Michael B. Chang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Surfaces, Coatings and Films, Dermatology and Pulmonary and Respiratory Medicine, 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), Optical Coatings and Gratings (3 papers), Acoustic Wave Resonator Technologies (1 paper), Semiconductor Quantum Structures and Devices (1 paper), Natural Language Processing Techniques (1 paper), Photorefractive and Nonlinear Optics (1 paper) and Dysphagia Assessment and Management (1 paper). The work is most often cited by research in General Decision Sciences (15 citations), Internal Medicine (10 citations), Dermatology (22 citations), Artificial Intelligence (70 citations) and Anesthesiology and Pain Medicine (9 citations). Michael B. Chang has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Joshua B. Tenenbaum, Tomer Ullman, Antonio Torralba, Thomas L. Griffiths, Paul M. Krueger, Erin Grant, Frederick Callaway, Falk Lieder, Mark D. P. Davis and Julia S. Lehman. Their work appears in journals such as Journal of the American Academy of Dermatology, Current Opinion in Behavioral Sciences, International Journal of Pediatric Otorhinolaryngology, International Journal of Dermatology and International Conference on Learning Representations.

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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