Dan Feng
- Computer Networks and Communications top 0.1%
- Advanced Data Storage Technologies 339
- Caching and Content Delivery 224
- Distributed and Parallel Computing Systems 65
- Distributed systems and fault tolerance 61
- Peer-to-Peer Network Technologies 37
- Media Technology top 0.1%
- Hardware and Architecture top 0.5%
- Parallel Computing and Optimization Techniques 127
- Information Systems top 0.1%
- Cloud Computing and Resource Management 77
- Cloud Data Security Solutions 66
- Cited by
- Computer Networks and CommunicationsMedia TechnologyComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Parallel and Distributed Systems (19 papers)IEEE Transactions on Computers (15 papers)IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (14 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Feng
500 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Computer Networks and Communications 4.2k
- Media Technology 1.5k
- Computer Vision and Pattern Recognition 3.4k
- Hardware and Architecture 989
- Information Systems 2.4k
Countries citing papers authored by Dan Feng
This map shows the geographic impact of Dan Feng'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 Dan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Feng more than expected).
Fields of papers citing papers by Dan Feng
This network shows the impact of papers produced by Dan Feng. 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 Dan Feng. The network helps show where Dan Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Feng, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 6 | |
| 19 | 2019 | 0 | |
| 20 | 2014 | 37 |
About Dan Feng
Dan Feng is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 572 papers that have together received 9.2k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (339 papers), Caching and Content Delivery (224 papers), Parallel Computing and Optimization Techniques (127 papers), Cloud Computing and Resource Management (77 papers), Cloud Data Security Solutions (66 papers), Distributed and Parallel Computing Systems (65 papers), Distributed systems and fault tolerance (61 papers) and Peer-to-Peer Network Technologies (37 papers). The work is most often cited by research in Computer Networks and Communications (4.2k citations), Media Technology (1.5k citations) and Computer Vision and Pattern Recognition (3.4k citations). Dan Feng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhangyang Wang, Hong Jiang, Jizheng Xu, Xiulian Peng, Boyi Li, Yu Hua, Lei Tian, Boyi Li, Dengpan Fu and Wenqi Ren. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computers, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Future Generation Computer Systems and ACM Transactions on Storage.
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.