Lance Wu
Impact in
- Signal Processing top 10%
- Blind Source Separation Techniques
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Target Tracking and Data Fusion in Sensor Networks
Papers in
-
- Spacecraft Design and Technology 3
- Calibration and Measurement Techniques 1
- Co-authors
- Ying‐Hwa Kuo (1 shared paper)Richard A. Anthes (1 shared paper)K.-M. Yang (2 shared papers)Ming–Ting Sun (1 shared paper)Jeng-Shing Chern (3 shared papers)Michael D. Mills (1 shared paper)
- Journals
- Eos (1 paper)Neural Information Processing Systems (1 paper)SPIE eBooks (1 paper)56th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law (1 paper)57th International Astronautical Congress (3 papers)
- Partner nations
- TaiwanUnited States
In The Last Decade
Lance Wu
9 papers receiving 343 citations
Peers
Comparison fields: 5 of 64
- Signal Processing 71
- Artificial Intelligence 206
- Astronomy and Astrophysics 89
- Control and Systems Engineering 120
- Aerospace Engineering 60
Countries citing papers authored by Lance Wu
This map shows the geographic impact of Lance Wu'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 Lance Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance Wu more than expected).
Fields of papers citing papers by Lance Wu
This network shows the impact of papers produced by Lance Wu. 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 Lance Wu. The network helps show where Lance Wu may publish in the future.
Co-authors
The 6 scholars most cited alongside Lance Wu, 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 | Training Multilayer Perceptrons with the Extended Kalman Algorithm | 1988 | 258 |
| 2 | 2006 | 95 | |
| 3 | 1988 | 13 | |
| 4 | 2006 | 3 | |
| 5 | 2006 | 3 | |
| 6 | 2006 | 2 | |
| 7 | 2008 | 2 | |
| 8 | Visual Communications and Image Processing '95 | 1995 | 1 |
| 9 | 2005 | 1 | |
| 10 | FRACTAL BASED IMAGE C ODING S CHEME USING PEANO SCAN | 1988 | 1 |
About Lance Wu
Lance Wu is a scholar working on Aerospace Engineering, Signal Processing, Ocean Engineering, Astronomy and Astrophysics and Oceanography, having authored 10 papers that have together received 379 indexed citations. Recurring topics across this work include Spacecraft Design and Technology (3 papers), Satellite Image Processing and Photogrammetry (2 papers), Advanced Data Compression Techniques (1 paper), Retinal Imaging and Analysis (1 paper), Calibration and Measurement Techniques (1 paper), Advanced Image Processing Techniques (1 paper), Geochemistry and Geologic Mapping (1 paper) and Target Tracking and Data Fusion in Sensor Networks (1 paper). The work is most often cited by research in Signal Processing (71 citations), Artificial Intelligence (206 citations), Astronomy and Astrophysics (89 citations), Control and Systems Engineering (120 citations) and Aerospace Engineering (60 citations). Lance Wu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ying‐Hwa Kuo, Richard A. Anthes, K.-M. Yang, Ming–Ting Sun, Jeng-Shing Chern and Michael D. Mills. Their work appears in journals such as Eos, Neural Information Processing Systems, SPIE eBooks, 56th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law and 57th International Astronautical Congress.
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.