David M. Wang
Impact in
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- Microgrid Control and Optimization
Papers in
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- Cutaneous lymphoproliferative disorders research 3
- Epidemiology 10
- Nonmelanoma Skin Cancer Studies 10
- Co-authors
- Bor‐Ren Lin (2 shared papers)Francisco de León (2 shared papers)Dariusz Czarkowski (2 shared papers)Marc Díaz-Aguiló (2 shared papers)Kevin Huang (1 shared paper)G. R. Heppler (1 shared paper)Ravichandran Thangamani (1 shared paper)Richard Macwan (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (7 papers)JAMA Dermatology (3 papers)The Journal of Knee Surgery (2 papers)Journal of Orthopaedic Trauma (2 papers)IEEE Transactions on Power Delivery (2 papers)
- Partner nations
- United StatesCanadaTaiwan
In The Last Decade
David M. Wang
39 papers receiving 611 citations
Peers
Comparison fields: 5 of 106
- Control and Systems Engineering 184
- Developmental Neuroscience 28
- Physical Therapy, Sports Therapy and Rehabilitation 21
- Electrical and Electronic Engineering 280
- Dermatology 36
Countries citing papers authored by David M. Wang
This map shows the geographic impact of David M. Wang'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 David M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Wang more than expected).
Fields of papers citing papers by David M. Wang
This network shows the impact of papers produced by David M. Wang. 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 David M. Wang. The network helps show where David M. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Wang, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 122 | |
| 2 | 2006 | 73 | |
| 3 | 2015 | 63 | |
| 4 | 2006 | 55 | |
| 5 | 2006 | 47 | |
| 6 | 2009 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 23 | |
| 10 | 2016 | 21 | |
| 11 | 2005 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2025 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2012 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 5 | |
| 20 | 2025 | 5 |
About David M. Wang
David M. Wang is a scholar working on Dermatology, Epidemiology, Computer Vision and Pattern Recognition, Oncology and Orthopedics and Sports Medicine, having authored 43 papers that have together received 639 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (10 papers), Cutaneous Melanoma Detection and Management (6 papers), Lower Extremity Biomechanics and Pathologies (5 papers), Robotic Path Planning Algorithms (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Computer Graphics and Visualization Techniques (2 papers), Augmented Reality Applications (2 papers) and Trauma and Emergency Care Studies (2 papers). The work is most often cited by research in Control and Systems Engineering (184 citations), Developmental Neuroscience (28 citations), Physical Therapy, Sports Therapy and Rehabilitation (21 citations), Electrical and Electronic Engineering (280 citations) and Dermatology (36 citations). David M. Wang has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Bor‐Ren Lin, Francisco de León, Dariusz Czarkowski, Marc Díaz-Aguiló, Kevin Huang, G. R. Heppler, Ravichandran Thangamani, Richard Macwan, Chrysalyne Delling Schmults and Timothy E. Kennedy. Their work appears in journals such as Journal of the American Academy of Dermatology, JAMA Dermatology, The Journal of Knee Surgery, Journal of Orthopaedic Trauma and IEEE Transactions on Power Delivery.
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.