Zhenkun Lu
Impact in
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Image and Signal Denoising Methods 5
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- Ultrasonics and Acoustic Wave Propagation 7
- Flow Measurement and Analysis 6
- Co-authors
- Qinghua Huang (6 shared papers)Longzhong Liu (2 shared papers)Wei Wang (1 shared paper)Donghong Qin (3 shared papers)Yuling Luo (2 shared papers)Yaozhong Luo (1 shared paper)Shichong Zhou (1 shared paper)Cai Chang (1 shared paper)
- Journals
- Advances in Space Research (3 papers)Signal Processing (2 papers)Measurement (2 papers)Biomedical Signal Processing and Control (2 papers)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Zhenkun Lu
27 papers receiving 308 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 82
- Health Informatics 5
- Neurology 27
- Artificial Intelligence 103
- Mechanics of Materials 72
Countries citing papers authored by Zhenkun Lu
This map shows the geographic impact of Zhenkun 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 Zhenkun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenkun Lu more than expected).
Fields of papers citing papers by Zhenkun Lu
This network shows the impact of papers produced by Zhenkun 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 Zhenkun Lu. The network helps show where Zhenkun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenkun 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 50 | |
| 2 | 2023 | 42 | |
| 3 | 2023 | 37 | |
| 4 | 2016 | 30 | |
| 5 | 2020 | 15 | |
| 6 | 2022 | 14 | |
| 7 | 2015 | 14 | |
| 8 | 2020 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2011 | 9 | |
| 13 | 2015 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2023 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 3 |
About Zhenkun Lu
Zhenkun Lu is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 29 papers that have together received 314 indexed citations. Recurring topics across this work include Ultrasonics and Acoustic Wave Propagation (7 papers), Flow Measurement and Analysis (6 papers), Image and Signal Denoising Methods (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Blind Source Separation Techniques (2 papers), Biometric Identification and Security (2 papers), Spacecraft Dynamics and Control (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (82 citations), Health Informatics (5 citations), Neurology (27 citations), Artificial Intelligence (103 citations) and Mechanics of Materials (72 citations). Zhenkun Lu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qinghua Huang, Longzhong Liu, Wei Wang, Donghong Qin, Yuling Luo, Yaozhong Luo, Shichong Zhou, Cai Chang, Jiawei Li and Moe Momayez. Their work appears in journals such as Advances in Space Research, Signal Processing, Measurement, Biomedical Signal Processing and Control and Expert Systems with Applications.
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.