Binchun Lu
Impact in
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- ECG Monitoring and Analysis
Papers in
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- Advanced Chemical Sensor Technologies 2
- Optical Coherence Tomography Applications 2
- Photoacoustic and Ultrasonic Imaging 2
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- Gas Sensing Nanomaterials and Sensors 2
- Co-authors
- Lidan Fu (4 shared papers)Hongying Liu (3 shared papers)Junjie Tang (1 shared paper)Sui Peng (1 shared paper)Ke Wang (1 shared paper)Wenyuan Li (1 shared paper)Xitian Pi (2 shared papers)Lei Liu (1 shared paper)
- Journals
- Computerized Medical Imaging and Graphics (3 papers)Sensors (2 papers)Computers in Biology and Medicine (1 paper)ACS Nano (1 paper)Energy Conversion and Management (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Binchun Lu
8 papers receiving 308 citations
Peers
Comparison fields: 5 of 69
- Computational Mathematics 3
- Cardiology and Cardiovascular Medicine 70
- Electrical and Electronic Engineering 171
- Management Science and Operations Research 34
- Biomedical Engineering 96
Countries citing papers authored by Binchun Lu
This map shows the geographic impact of Binchun Lu'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 Binchun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binchun Lu more than expected).
Fields of papers citing papers by Binchun Lu
This network shows the impact of papers produced by Binchun Lu. 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 Binchun Lu. The network helps show where Binchun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Binchun Lu, 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 | 2020 | 144 | |
| 2 | 2020 | 78 | |
| 3 | 2021 | 48 | |
| 4 | 2019 | 27 | |
| 5 | 2025 | 9 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2025 | 1 |
About Binchun Lu
Binchun Lu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Urban Studies, having authored 8 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (2 papers), Optical Coherence Tomography Applications (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Medical Imaging Techniques and Applications (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Computational Mathematics (3 citations), Cardiology and Cardiovascular Medicine (70 citations), Electrical and Electronic Engineering (171 citations), Management Science and Operations Research (34 citations) and Biomedical Engineering (96 citations). Binchun Lu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lidan Fu, Hongying Liu, Junjie Tang, Sui Peng, Ke Wang, Wenyuan Li, Xitian Pi, Lei Liu, Wang Li and Ke Chen. Their work appears in journals such as Computerized Medical Imaging and Graphics, Sensors, Computers in Biology and Medicine, ACS Nano and Energy Conversion and Management.
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.