Lingyang Chu
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Stochastic Gradient Optimization Techniques
- Cryptography and Data Security
- Advanced Graph Neural Networks
Papers in
-
- Privacy-Preserving Technologies in Data 8
- Advanced Graph Neural Networks 8
- Adversarial Robustness in Machine Learning 7
- Machine Learning and Data Classification 7
-
- Advanced Image and Video Retrieval Techniques 6
- Co-authors
- Jian Pei (20 shared papers)Lanjun Wang (9 shared papers)Yong Zhang (3 shared papers)Zirui Zhou (2 shared papers)Jiangchuan Liu (1 shared paper)Yutao Huang (1 shared paper)Dengjun Wang (5 shared papers)Dongmei Zhou (4 shared papers)
- Journals
- Proceedings of the VLDB Endowment (4 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Journal of Soils and Sediments (1 paper)Journal of Colloid and Interface Science (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Lingyang Chu
43 papers receiving 1.6k citations
Lingyang Chu's Hit Papers
Peers
Comparison fields: 5 of 136
- Artificial Intelligence 827
- Computer Science Applications 74
- Water Science and Technology 163
- Environmental Engineering 168
- Health Informatics 16
Countries citing papers authored by Lingyang Chu
This map shows the geographic impact of Lingyang Chu'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 Lingyang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyang Chu more than expected).
Fields of papers citing papers by Lingyang Chu
This network shows the impact of papers produced by Lingyang Chu. 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 Lingyang Chu. The network helps show where Lingyang Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyang Chu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Personalized Cross-Silo Federated Learning on Non-IID Data Hit paper breakdown → | 2021 | 514 |
| 2 | Model complexity of deep learning: a survey Hit paper breakdown → | 2021 | 302 |
| 3 | 2011 | 131 | |
| 4 | 2011 | 103 | |
| 5 | 2016 | 64 | |
| 6 | 2018 | 55 | |
| 7 | 2011 | 55 | |
| 8 | 2017 | 50 | |
| 9 | 2013 | 37 | |
| 10 | 2014 | 36 | |
| 11 | 2016 | 31 | |
| 12 | 2021 | 31 | |
| 13 | 2013 | 29 | |
| 14 | 2019 | 29 | |
| 15 | 2022 | 16 | |
| 16 | 2024 | 15 | |
| 17 | 2015 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2024 | 12 |
About Lingyang Chu
Lingyang Chu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Information Systems and Signal Processing, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Advanced Graph Neural Networks (8 papers), Adversarial Robustness in Machine Learning (7 papers), Machine Learning and Data Classification (7 papers), Complex Network Analysis Techniques (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Data Mining Algorithms and Applications (6 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (827 citations), Computer Science Applications (74 citations), Water Science and Technology (163 citations), Environmental Engineering (168 citations) and Health Informatics (16 citations). Lingyang Chu has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Jian Pei, Lanjun Wang, Yong Zhang, Zirui Zhou, Jiangchuan Liu, Yutao Huang, Dengjun Wang, Dongmei Zhou, Xia Hu and Weiqing Liu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, Journal of Soils and Sediments, Journal of Colloid and Interface Science and IEEE Transactions on Neural Networks and Learning 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.