Xiaofeng Gao
Impact in
- Computer Science Applications top 0.5%
- Mobile Crowdsensing and Crowdsourcing
-
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Software-Defined Networks and 5G
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 34
-
- Mobile Ad Hoc Networks 35
- Caching and Content Delivery 32
- Software-Defined Networks and 5G 27
- Energy Efficient Wireless Sensor Networks 26
- Cooperative Communication and Network Coding 19
- Co-authors
- Guihai ChenFan WuShaojie TangWeili WuZhenzhe ZhengZhiyin ChenShuo YangTao Chen
- Journals
- Theoretical Computer Science (12 papers)IEEE Transactions on Knowledge and Data Engineering (12 papers)IEEE/ACM Transactions on Networking (10 papers)IEEE Transactions on Mobile Computing (7 papers)Optimization Letters (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaofeng Gao
242 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 142
- Computer Science Applications 642
- Computer Networks and Communications 1.2k
- Transportation 277
- Information Systems 558
- Management Science and Operations Research 291
Countries citing papers authored by Xiaofeng Gao
This map shows the geographic impact of Xiaofeng Gao'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 Xiaofeng Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Gao more than expected).
Fields of papers citing papers by Xiaofeng Gao
This network shows the impact of papers produced by Xiaofeng Gao. 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 Xiaofeng Gao. The network helps show where Xiaofeng Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaofeng Gao, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 32 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 45 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 0 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 5 | |
| 19 | 2016 | 32 | |
| 20 | 2008 | 17 |
About Xiaofeng Gao
Xiaofeng Gao is a scholar working on Computer Science Applications, Computer Networks and Communications, Transportation, Information Systems and Management Science and Operations Research, having authored 262 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mobile Ad Hoc Networks (35 papers), Mobile Crowdsensing and Crowdsourcing (34 papers), Cloud Computing and Resource Management (33 papers), Caching and Content Delivery (32 papers), Software-Defined Networks and 5G (27 papers), Energy Efficient Wireless Sensor Networks (26 papers), Indoor and Outdoor Localization Technologies (19 papers) and Cooperative Communication and Network Coding (19 papers). The work is most often cited by research in Computer Science Applications (642 citations), Computer Networks and Communications (1.2k citations), Transportation (277 citations), Information Systems (558 citations) and Management Science and Operations Research (291 citations). Xiaofeng Gao has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guihai Chen, Fan Wu, Shaojie Tang, Weili Wu, Zhenzhe Zheng, Zhiyin Chen, Shuo Yang, Tao Chen, Chaoyue Niu and Bo Yang. Their work appears in journals such as Theoretical Computer Science, IEEE Transactions on Knowledge and Data Engineering, IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing and Optimization Letters.
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.