Lei Chu
- Electrical and Electronic Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 10%
- Topics
- Electrocatalysts for Energy Conversion (14 papers)Indoor and Outdoor Localization Technologies (9 papers)Sparse and Compressive Sensing Techniques (8 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentComputational MathematicsElectrical and Electronic Engineering
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Lei Chu
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Electrical and Electronic Engineering 563
- Renewable Energy, Sustainability and the Environment 322
- Artificial Intelligence 160
- Computer Vision and Pattern Recognition 145
- Computational Mechanics 123
Countries citing papers authored by Lei Chu
This map shows the geographic impact of Lei Chu'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 Lei Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Chu more than expected).
Fields of papers citing papers by Lei Chu
This network shows the impact of papers produced by Lei Chu. 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 Lei Chu. The network helps show where Lei Chu may publish in the future.
Co-authorship network of co-authors of Lei Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Lei Chu. A scholar is included among the top collaborators of Lei Chu 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 Lei Chu. Lei Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 42 | |
| 12 | 15 | |
| 13 | 13 | |
| 14 | 11 | |
| 15 | 33 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | 11 | |
| 19 | Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach | 2 |
| 20 | 111 |
About Lei Chu
Lei Chu is a scholar working on Computational Mathematics, Renewable Energy, Sustainability and the Environment and Signal Processing, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (14 papers), Indoor and Outdoor Localization Technologies (9 papers) and Sparse and Compressive Sensing Techniques (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (322 citations), Computational Mathematics (11 citations) and Electrical and Electronic Engineering (563 citations). Lei Chu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Robert C. Qiu, Minghua Huang, Xing He, Zenan Ling, Fei Wen, Huanlei Wang, Xiansheng Guo, Peilin Liu, Ling Pei and Canhui Zhang. Their work appears in journals such as Advanced Materials, ACS Nano and Advanced Functional Materials.
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.