Ye Lu
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Computing and Resource Management
Papers in
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- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 3
-
- Adversarial Robustness in Machine Learning 4
- Co-authors
- Tao Li (13 shared papers)Li Xu (1 shared paper)Miao Yu (1 shared paper)Jingyi Gong (1 shared paper)Yangnan Gu (1 shared paper)Wen‐Min Wang (1 shared paper)Muhammad Arshad (1 shared paper)Linkang Zhou (1 shared paper)
- Journals
- IEEE Transactions on Parallel and Distributed Systems (4 papers)Applied Optics (3 papers)Mobile Networks and Applications (1 paper)Software Practice and Experience (1 paper)IEEE Access (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Lu
49 papers receiving 453 citations
Peers
Comparison fields: 5 of 104
- Structural Biology 36
- Information Systems 83
- Surfaces, Coatings and Films 23
- Biochemistry 22
- Computer Vision and Pattern Recognition 62
Countries citing papers authored by Ye Lu
This map shows the geographic impact of Ye 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 Ye Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Lu more than expected).
Fields of papers citing papers by Ye Lu
This network shows the impact of papers produced by Ye 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 Ye Lu. The network helps show where Ye Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 55 | |
| 2 | 2022 | 44 | |
| 3 | 2023 | 31 | |
| 4 | 2021 | 19 | |
| 5 | 2007 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2023 | 16 | |
| 9 | 2018 | 15 | |
| 10 | 2023 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2018 | 9 | |
| 20 | 2019 | 8 |
About Ye Lu
Ye Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 53 papers that have together received 462 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Blockchain Technology Applications and Security (6 papers), Software System Performance and Reliability (5 papers), Cloud Computing and Resource Management (4 papers), IoT and Edge/Fog Computing (4 papers), Adversarial Robustness in Machine Learning (4 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Fiber Optic Sensors (3 papers). The work is most often cited by research in Structural Biology (36 citations), Information Systems (83 citations), Surfaces, Coatings and Films (23 citations), Biochemistry (22 citations) and Computer Vision and Pattern Recognition (62 citations). Ye Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Li, Li Xu, Miao Yu, Jingyi Gong, Yangnan Gu, Wen‐Min Wang, Muhammad Arshad, Linkang Zhou, Peng Li and Nan Liu. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Applied Optics, Mobile Networks and Applications, Software Practice and Experience and IEEE Access.
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.