Leon Wu
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Artificial Intelligence top 10%
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Papers in
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- Data Stream Mining Techniques 3
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- Energy Load and Power Forecasting 3
- Co-authors
- Gail E. Kaiser (12 shared papers)Tianshi Wang (2 shared papers)Jaijeet Roychowdhury (2 shared papers)Rebecca J. Passonneau (2 shared papers)Boyi Xie (2 shared papers)Germán G. Creamer (1 shared paper)Albert Boulanger (7 shared papers)Ching-Chao Huang (1 shared paper)
- Journals
- Natural Computing (1 paper)IBM Journal of Research and Development (1 paper)GigaScience (1 paper)Scientific Reports (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Leon Wu
26 papers receiving 381 citations
Peers
Comparison fields: 5 of 88
- Software 39
- Artificial Intelligence 111
- Management Science and Operations Research 42
- Electrical and Electronic Engineering 151
- Safety, Risk, Reliability and Quality 22
Countries citing papers authored by Leon Wu
This map shows the geographic impact of Leon 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 Leon Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Wu more than expected).
Fields of papers citing papers by Leon Wu
This network shows the impact of papers produced by Leon 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 Leon Wu. The network helps show where Leon Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 65 | |
| 2 | 2021 | 55 | |
| 3 | Semantic Frames to Predict Stock Price Movement | 2013 | 52 |
| 4 | 2019 | 30 | |
| 5 | 2012 | 25 | |
| 6 | 2011 | 22 | |
| 7 | 1987 | 17 | |
| 8 | 2013 | 15 | |
| 9 | 2011 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2011 | 13 | |
| 12 | 2016 | 11 | |
| 13 | 2011 | 10 | |
| 14 | 2011 | 10 | |
| 15 | 2012 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2007 | 6 | |
| 18 | 2010 | 5 | |
| 19 | 2011 | 4 | |
| 20 | 2014 | 4 |
About Leon Wu
Leon Wu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Software, Signal Processing and Control and Systems Engineering, having authored 26 papers that have together received 401 indexed citations. Recurring topics across this work include Software Reliability and Analysis Research (6 papers), Software Testing and Debugging Techniques (4 papers), Energy Load and Power Forecasting (3 papers), Data Stream Mining Techniques (3 papers), Smart Grid Security and Resilience (3 papers), Advanced Malware Detection Techniques (3 papers), Reservoir Engineering and Simulation Methods (2 papers) and Oil and Gas Production Techniques (2 papers). The work is most often cited by research in Software (39 citations), Artificial Intelligence (111 citations), Management Science and Operations Research (42 citations), Electrical and Electronic Engineering (151 citations) and Safety, Risk, Reliability and Quality (22 citations). Leon Wu has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Gail E. Kaiser, Tianshi Wang, Jaijeet Roychowdhury, Rebecca J. Passonneau, Boyi Xie, Germán G. Creamer, Albert Boulanger, Ching-Chao Huang, Matthew A. Hemphill and Jina Ko. Their work appears in journals such as Natural Computing, IBM Journal of Research and Development, GigaScience, Scientific Reports and SSRN Electronic Journal.
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.