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
-
- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 3
- Co-authors
- Tao LiYangnan GuPeng LiJingyi GongGuiling WangLi XuLinkang ZhouMiao Yu
- Journals
- IEEE Transactions on Parallel and Distributed Systems (4 papers)Applied Optics (3 papers)Measurement (1 paper)Diabetes (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ye Lu
49 papers receiving 422 citations
Peers
Comparison fields: 5 of 106
- Structural Biology 32
- Information Systems 79
- Surfaces, Coatings and Films 22
- Computer Vision and Pattern Recognition 63
- Computer Networks and Communications 66
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 28 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 15 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 42 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 1 | |
| 16 | 2019 | 8 | |
| 17 | 2015 | 1 | |
| 18 | 2015 | 0 | |
| 19 | Discovering both positive and negative co-location rules from spatial data sets | 2010 | 8 |
| 20 | A Quick Algorithm to Determine Convex Hull for a Point Set in GIS | 2004 | 1 |
About Ye Lu
Ye Lu is a scholar working on Structural Biology, Computer Vision and Pattern Recognition, Software, Information Systems and Computer Networks and Communications, having authored 53 papers that have together received 430 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), Adversarial Robustness in Machine Learning (4 papers), IoT and Edge/Fog Computing (4 papers), Cloud Computing and Resource Management (4 papers), Advanced Memory and Neural Computing (3 papers) and Medical Image Segmentation Techniques (3 papers). The work is most often cited by research in Structural Biology (32 citations), Information Systems (79 citations), Surfaces, Coatings and Films (22 citations), Computer Vision and Pattern Recognition (63 citations) and Computer Networks and Communications (66 citations). Ye Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Li, Yangnan Gu, Peng Li, Jingyi Gong, Guiling Wang, Li Xu, Linkang Zhou, Miao Yu, Muhammad Arshad and Wen‐Min Wang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Applied Optics, Measurement, Diabetes and Nature Communications.
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.