David T. Lee
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
-
- Analytical Chemistry and Sensors
Papers in
-
- Online Learning and Analytics 2
- Open Source Software Innovations 2
- Mobile Crowdsensing and Crowdsourcing 2
- Co-authors
- J. P. Pelz (2 shared papers)Bharat Bhushan (2 shared papers)John J. Lannutti (2 shared papers)Imad L. Al‐Qadi (1 shared paper)Amara Loulizi (1 shared paper)Samer Lahouar (1 shared paper)Sylvain Nichols (1 shared paper)Jed Johnson (1 shared paper)
- Journals
- Electrophoresis (1 paper)Journal of Biomaterials Science Polymer Edition (1 paper)Nanotechnology (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)Acta Biomaterialia (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David T. Lee
19 papers receiving 337 citations
Peers
Comparison fields: 5 of 87
- Biomaterials 108
- Bioengineering 21
- Biomedical Engineering 142
- Ocean Engineering 49
- Computer Science Applications 13
Countries citing papers authored by David T. Lee
This map shows the geographic impact of David T. Lee'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 T. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Lee more than expected).
Fields of papers citing papers by David T. Lee
This network shows the impact of papers produced by David T. Lee. 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 T. Lee. The network helps show where David T. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside David T. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 65 | |
| 2 | 2009 | 56 | |
| 3 | 2002 | 48 | |
| 4 | 2002 | 45 | |
| 5 | 2006 | 31 | |
| 6 | 2008 | 27 | |
| 7 | 2021 | 14 | |
| 8 | 1993 | 13 | |
| 9 | 1978 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2016 | 7 | |
| 12 | Efficient, private, and ε-strategyproof elicitation of tournament voting rules | 2015 | 5 |
| 13 | 2022 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 1980 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2024 | 0 |
About David T. Lee
David T. Lee is a scholar working on Biomedical Engineering, Computer Science Applications, Molecular Biology, Electrical and Electronic Engineering and Communication, having authored 20 papers that have together received 348 indexed citations. Recurring topics across this work include Online Learning and Analytics (2 papers), Open Source Software Innovations (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Force Microscopy Techniques and Applications (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Surface Roughness and Optical Measurements (2 papers). The work is most often cited by research in Biomaterials (108 citations), Bioengineering (21 citations), Biomedical Engineering (142 citations), Ocean Engineering (49 citations) and Computer Science Applications (13 citations). David T. Lee has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include J. P. Pelz, Bharat Bhushan, John J. Lannutti, Imad L. Al‐Qadi, Amara Loulizi, Samer Lahouar, Sylvain Nichols, Jed Johnson, Justin T. Koepsel and Andrew J. Niehaus. Their work appears in journals such as Electrophoresis, Journal of Biomaterials Science Polymer Edition, Nanotechnology, Proceedings of the ACM on Human-Computer Interaction and Acta Biomaterialia.
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.