Lele Yu
Impact in
- Artificial Intelligence top 5%
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
- Advanced Graph Neural Networks
- Cryptography and Data Security
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- Advanced Neural Network Applications
- Graph Theory and Algorithms
Papers in
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- Graph Theory and Algorithms 5
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 2
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- Stochastic Gradient Optimization Techniques 5
- Advanced Graph Neural Networks 4
- Privacy-Preserving Technologies in Data 3
- Co-authors
- Bin Cui (15 shared papers)Jiawei Jiang (10 shared papers)Ce Zhang (2 shared papers)Yingxia Shao (7 shared papers)Yuhong Liu (1 shared paper)Jie Jiang (1 shared paper)Yanxiang Huang (1 shared paper)Fangcheng Fu (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)IEEE Transactions on Emerging Topics in Computing (1 paper)World Wide Web (1 paper)National Science Review (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- ChinaSwitzerlandUnited States
In The Last Decade
Lele Yu
17 papers receiving 413 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 293
- Computer Vision and Pattern Recognition 149
- Hardware and Architecture 45
- Information Systems 117
- Computer Networks and Communications 112
Countries citing papers authored by Lele Yu
This map shows the geographic impact of Lele Yu'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 Lele Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lele Yu more than expected).
Fields of papers citing papers by Lele Yu
This network shows the impact of papers produced by Lele Yu. 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 Lele Yu. The network helps show where Lele Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lele Yu, 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 | 2017 | 154 | |
| 2 | 2017 | 62 | |
| 3 | 2021 | 55 | |
| 4 | 2014 | 31 | |
| 5 | 2015 | 26 | |
| 6 | 2019 | 21 | |
| 7 | 2020 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 9 | |
| 10 | 2024 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2013 | 3 | |
| 14 | 2017 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2015 | 1 |
About Lele Yu
Lele Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Hardware and Architecture and Statistical and Nonlinear Physics, having authored 17 papers that have together received 418 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (5 papers), Graph Theory and Algorithms (5 papers), Advanced Neural Network Applications (5 papers), Advanced Graph Neural Networks (4 papers), Cloud Computing and Resource Management (4 papers), Parallel Computing and Optimization Techniques (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (293 citations), Computer Vision and Pattern Recognition (149 citations), Hardware and Architecture (45 citations), Information Systems (117 citations) and Computer Networks and Communications (112 citations). Lele Yu has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Bin Cui, Jiawei Jiang, Ce Zhang, Yingxia Shao, Yuhong Liu, Jie Jiang, Yanxiang Huang, Fangcheng Fu, Xiang Wang and Yangyu Tao. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Emerging Topics in Computing, World Wide Web, National Science Review and ACM Transactions on Information Systems.
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.