James Lo
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Control and Systems Engineering top 10%
- Control Systems and Identification
- Fault Detection and Control Systems
Papers in
-
- Neural Networks and Applications 15
- Target Tracking and Data Fusion in Sensor Networks 9
-
- Control Systems and Identification 8
- Fault Detection and Control Systems 6
- Co-authors
- Shigeru Katagiri (1 shared paper)S. Haykin (1 shared paper)José C. Prı́ncipe (1 shared paper)Craig Fancourt (1 shared paper)Yu Guo (4 shared papers)Alan S. Willsky (1 shared paper)Jeffrey B. Lewis (2 shared papers)Royce Carroll (2 shared papers)
- Journals
- Information Sciences (3 papers)Journal of Global Optimization (2 papers)SIAM Journal on Applied Mathematics (2 papers)Neurocomputing (2 papers)Theory of Computing Systems (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
James Lo
36 papers receiving 235 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 113
- Control and Systems Engineering 75
- Statistical and Nonlinear Physics 39
- Computational Mathematics 1
- Signal Processing 15
Countries citing papers authored by James Lo
This map shows the geographic impact of James Lo'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 James Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Lo more than expected).
Fields of papers citing papers by James Lo
This network shows the impact of papers produced by James Lo. 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 James Lo. The network helps show where James Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside James Lo, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives | 2001 | 68 |
| 2 | 1975 | 50 | |
| 3 | 1979 | 30 | |
| 4 | 2010 | 12 | |
| 5 | Scaling Roll Call Votes with wnominate in R | 2011 | 7 |
| 6 | 2009 | 7 | |
| 7 | 2009 | 6 | |
| 8 | 2007 | 6 | |
| 9 | 1988 | 5 | |
| 10 | 1975 | 5 | |
| 11 | 2008 | 4 | |
| 12 | 2002 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 1975 | 4 | |
| 15 | 2011 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 1974 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2009 | 3 | |
| 20 | 1970 | 3 |
About James Lo
James Lo is a scholar working on Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition, Signal Processing and Statistical and Nonlinear Physics, having authored 41 papers that have together received 259 indexed citations. Recurring topics across this work include Neural Networks and Applications (15 papers), Target Tracking and Data Fusion in Sensor Networks (9 papers), Control Systems and Identification (8 papers), Fault Detection and Control Systems (6 papers), Blind Source Separation Techniques (5 papers), Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers) and Probabilistic and Robust Engineering Design (3 papers). The work is most often cited by research in Artificial Intelligence (113 citations), Control and Systems Engineering (75 citations), Statistical and Nonlinear Physics (39 citations), Computational Mathematics (1 citation) and Signal Processing (15 citations). James Lo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Shigeru Katagiri, S. Haykin, José C. Prı́ncipe, Craig Fancourt, Yu Guo, Alan S. Willsky, Jeffrey B. Lewis, Royce Carroll, Yun Peng and Fei Wang. Their work appears in journals such as Information Sciences, Journal of Global Optimization, SIAM Journal on Applied Mathematics, Neurocomputing and Theory of Computing Systems.
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.