Feng Yan
Impact in
-
- IoT and Edge/Fog Computing
- Information Systems top 1%
- Cloud Computing and Resource Management
Papers in
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- Advanced Data Storage Technologies 20
- IoT and Edge/Fog Computing 16
- Distributed and Parallel Computing Systems 11
- Caching and Content Delivery 10
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- Cloud Computing and Resource Management 32
- Co-authors
- Evgenia Smirni (27 shared papers)Chengliang Zhang (6 shared papers)Ahsan Ali (7 shared papers)Riccardo Pinciroli (6 shared papers)Yuxiong He (5 shared papers)Yiran Chen (8 shared papers)Junzhe Xia (2 shared papers)Hai Li (6 shared papers)
- Journals
- Proceedings of the VLDB Endowment (3 papers)IEEE Transactions on Network and Service Management (2 papers)Journal of Hydrology (2 papers)IEEE Transactions on Cloud Computing (2 papers)Remote Sensing (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Feng Yan
98 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 109
- Computer Networks and Communications 654
- Information Systems 497
- Computer Vision and Pattern Recognition 434
- Artificial Intelligence 672
- Hardware and Architecture 111
Countries citing papers authored by Feng Yan
This map shows the geographic impact of Feng Yan'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 Feng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Yan more than expected).
Fields of papers citing papers by Feng Yan
This network shows the impact of papers produced by Feng Yan. 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 Feng Yan. The network helps show where Feng Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Yan, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning | 2020 | 175 |
| 2 | TernGrad: ternary gradients to reduce communication in distributed deep learning | 2017 | 154 |
| 3 | 2020 | 123 | |
| 4 | 2022 | 78 | |
| 5 | MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. | 2019 | 77 |
| 6 | 2015 | 67 | |
| 7 | 2023 | 55 | |
| 8 | 2020 | 51 | |
| 9 | 2015 | 46 | |
| 10 | 2023 | 42 | |
| 11 | 2021 | 38 | |
| 12 | 2022 | 37 | |
| 13 | 2019 | 34 | |
| 14 | 2020 | 32 | |
| 15 | 2020 | 26 | |
| 16 | 2017 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2023 | 20 | |
| 19 | 2016 | 19 | |
| 20 | 2021 | 19 |
About Feng Yan
Feng Yan is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 109 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (32 papers), Advanced Data Storage Technologies (20 papers), Advanced Neural Network Applications (18 papers), IoT and Edge/Fog Computing (16 papers), Parallel Computing and Optimization Techniques (12 papers), Distributed and Parallel Computing Systems (11 papers), Caching and Content Delivery (10 papers) and Stochastic Gradient Optimization Techniques (7 papers). The work is most often cited by research in Computer Networks and Communications (654 citations), Information Systems (497 citations), Computer Vision and Pattern Recognition (434 citations), Artificial Intelligence (672 citations) and Hardware and Architecture (111 citations). Feng Yan has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Evgenia Smirni, Chengliang Zhang, Ahsan Ali, Riccardo Pinciroli, Yuxiong He, Yiran Chen, Junzhe Xia, Hai Li, Wei Wang and Olatunji Ruwase. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Network and Service Management, Journal of Hydrology, IEEE Transactions on Cloud Computing and Remote Sensing.
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.