Daniel D. Lee
Impact in
- Computational Mathematics top 0.1%
- Signal Processing top 0.1%
- Blind Source Separation Techniques
- Speech and Audio Processing
Papers in
-
- Robotic Path Planning Algorithms 19
- Face and Expression Recognition 15
-
- Neural Networks and Applications 22
- Co-authors
- H. Sebastian Seung (9 shared papers)Jihun Hamm (4 shared papers)Lawrence K. Saul (9 shared papers)Jihun Ham (4 shared papers)Haim Sompolinsky (9 shared papers)Fei Sha (5 shared papers)Bernhard Schölkopf (1 shared paper)Sebastian Mika (1 shared paper)
- Journals
- Neural Computation (4 papers)Physical Review Letters (3 papers)Applied Physics B (3 papers)IEEE Robotics and Automation Letters (2 papers)Journal of Field Robotics (2 papers)
- Partner nations
- United StatesSouth KoreaIsrael
In The Last Decade
Daniel D. Lee
135 papers receiving 17.8k citations
Daniel D. Lee's Hit Papers
Peers
Comparison fields: 5 of 210
- Computational Mathematics 561
- Signal Processing 3.7k
- Computer Vision and Pattern Recognition 6.4k
- Media Technology 1.5k
- Artificial Intelligence 5.3k
Countries citing papers authored by Daniel D. Lee
This map shows the geographic impact of Daniel D. 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 Daniel D. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Lee more than expected).
Fields of papers citing papers by Daniel D. Lee
This network shows the impact of papers produced by Daniel D. 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 Daniel D. Lee. The network helps show where Daniel D. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. 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
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning the parts of objects by non-negative matrix factorization Hit paper breakdown → | 1999 | 9927 |
| 2 | Algorithms for Non-negative Matrix Factorization Hit paper breakdown → | 2000 | 4353 |
| 3 | Grassmann discriminant analysis Hit paper breakdown → | 2008 | 467 |
| 4 | 2004 | 387 | |
| 5 | 2000 | 273 | |
| 6 | 2001 | 230 | |
| 7 | 2006 | 202 | |
| 8 | Semisupervised alignment of manifolds. | 2005 | 195 |
| 9 | 2019 | 174 | |
| 10 | 2018 | 141 | |
| 11 | 2007 | 127 | |
| 12 | 2004 | 121 | |
| 13 | Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines | 2002 | 114 |
| 14 | 2000 | 90 | |
| 15 | 2020 | 90 | |
| 16 | The Rectified Gaussian Distribution | 1997 | 84 |
| 17 | 2020 | 78 | |
| 18 | Unsupervised Learning by Convex and Conic Coding | 1996 | 75 |
| 19 | Learning High Dimensional Correspondences from Low Dimensional Manifolds | 2003 | 63 |
| 20 | 2011 | 57 |
About Daniel D. Lee
Daniel D. Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Control and Systems Engineering and Aerospace Engineering, having authored 137 papers that have together received 18.6k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (26 papers), Neural Networks and Applications (22 papers), Robotics and Sensor-Based Localization (20 papers), Prosthetics and Rehabilitation Robotics (20 papers), Robotic Path Planning Algorithms (19 papers), Robot Manipulation and Learning (19 papers), Face and Expression Recognition (15 papers) and Blind Source Separation Techniques (14 papers). The work is most often cited by research in Computational Mathematics (561 citations), Signal Processing (3.7k citations), Computer Vision and Pattern Recognition (6.4k citations), Media Technology (1.5k citations) and Artificial Intelligence (5.3k citations). Daniel D. Lee has collaborated with scholars based in United States, South Korea and Israel. Frequent co-authors include H. Sebastian Seung, Jihun Hamm, Lawrence K. Saul, Jihun Ham, Haim Sompolinsky, Fei Sha, Bernhard Schölkopf, Sebastian Mika, David W. Tank and Ben Y. Reis. Their work appears in journals such as Neural Computation, Physical Review Letters, Applied Physics B, IEEE Robotics and Automation Letters and Journal of Field Robotics.
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.