David Tcheng
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Music and Audio Processing 7
- Co-authors
- Robert J. Brunner (3 shared papers)Adam D. Myers (3 shared papers)Nicholas M. Ball (3 shared papers)Sanjay J. Patel (2 shared papers)Shobha Vasudevan (2 shared papers)Amanda B. White (2 shared papers)Praveen Kumar (1 shared paper)S.C.-Y. Lu (3 shared papers)
- Journals
- The Astrophysical Journal (3 papers)Clinical Infectious Diseases (1 paper)Ultramicroscopy (1 paper)Journal of Proteome Research (1 paper)Water Resources Research (1 paper)
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
David Tcheng
35 papers receiving 838 citations
Peers
Comparison fields: 5 of 140
- Structural Biology 54
- Software 91
- Instrumentation 55
- Hardware and Architecture 91
- Astronomy and Astrophysics 119
Countries citing papers authored by David Tcheng
This map shows the geographic impact of David Tcheng'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 Tcheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tcheng more than expected).
Fields of papers citing papers by David Tcheng
This network shows the impact of papers produced by David Tcheng. 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 Tcheng. The network helps show where David Tcheng may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tcheng, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 113 | |
| 2 | 2010 | 91 | |
| 3 | 2010 | 90 | |
| 4 | 2005 | 73 | |
| 5 | 2010 | 71 | |
| 6 | 2006 | 58 | |
| 7 | 2008 | 56 | |
| 8 | 2012 | 50 | |
| 9 | Layered concept-learning and dynamically variable bias management | 1987 | 37 |
| 10 | 2007 | 36 | |
| 11 | Building robust learning systems by combining induction and optimization | 1989 | 34 |
| 12 | 1991 | 31 | |
| 13 | 2004 | 21 | |
| 14 | 2016 | 16 | |
| 15 | 1992 | 12 | |
| 16 | A knowledge-based method for protein structure refinement and prediction. | 1996 | 11 |
| 17 | 2005 | 10 | |
| 18 | 1991 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2005 | 6 |
About David Tcheng
David Tcheng is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Computational Theory and Mathematics and Astronomy and Astrophysics, having authored 36 papers that have together received 872 indexed citations. Recurring topics across this work include Music and Audio Processing (7 papers), Remote Sensing in Agriculture (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Advanced Statistical Methods and Models (2 papers), Music Technology and Sound Studies (2 papers), Manufacturing Process and Optimization (2 papers), VLSI and Analog Circuit Testing (2 papers) and Species Distribution and Climate Change (2 papers). The work is most often cited by research in Structural Biology (54 citations), Software (91 citations), Instrumentation (55 citations), Hardware and Architecture (91 citations) and Astronomy and Astrophysics (119 citations). David Tcheng has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Robert J. Brunner, Adam D. Myers, Nicholas M. Ball, Sanjay J. Patel, Shobha Vasudevan, Amanda B. White, Praveen Kumar, S.C.-Y. Lu, Larry Rendell and Surangi W. Punyasena. Their work appears in journals such as The Astrophysical Journal, Clinical Infectious Diseases, Ultramicroscopy, Journal of Proteome Research and Water Resources Research.
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.