Le Xu
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Safety, Risk, Reliability and Quality top 5%
- Automotive Engineering top 10%
- Co-authors
- Mo–Yuen ChowJulio Romero AgüeroRichard E. BrownH. Lee WillisMike MarshallJon TimmisShengnan ShaoNgai Wong
- Topics
- Power System Reliability and Maintenance (7 papers)Electricity Theft Detection Techniques (5 papers)Power Systems Fault Detection (4 papers)
- Cited by
- Computational MathematicsSafety, Risk, Reliability and QualityControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Power SystemsIEEE Transactions on Signal Processing
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Le Xu
29 papers receiving 586 citations
Peers
Comparison fields: 5 of 71
- Electrical and Electronic Engineering 373
- Control and Systems Engineering 226
- Artificial Intelligence 123
- Safety, Risk, Reliability and Quality 122
- Automotive Engineering 98
Countries citing papers authored by Le Xu
This map shows the geographic impact of Le Xu'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 Le Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Xu more than expected).
Fields of papers citing papers by Le Xu
This network shows the impact of papers produced by Le Xu. 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 Le Xu. The network helps show where Le Xu may publish in the future.
Co-authorship network of co-authors of Le Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Le Xu. A scholar is included among the top collaborators of Le Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Le Xu. Le Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | Classifying Remote Sensing Image Based on BP Neural Network Technology | 1 |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 64 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 56 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | 25 | |
| 18 | 126 | |
| 19 | 6 | |
| 20 | The impact of wind on the soil respiration measurement | 1 |
About Le Xu
Le Xu is a scholar working on Computational Mathematics, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 30 papers that have together received 607 indexed citations. Recurring topics across this work include Power System Reliability and Maintenance (7 papers), Electricity Theft Detection Techniques (5 papers) and Power Systems Fault Detection (4 papers). The work is most often cited by research in Computational Mathematics (14 citations), Safety, Risk, Reliability and Quality (122 citations) and Control and Systems Engineering (226 citations). Le Xu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Mo–Yuen Chow, Julio Romero Agüero, Richard E. Brown, H. Lee Willis, Mike Marshall, Jon Timmis, Shengnan Shao, Ngai Wong, Yik‐Chung Wu and Lei Cheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Power Systems and IEEE Transactions on Signal Processing.
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.