Anfeng Liu
Impact in
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Security in Wireless Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Computer Science Applications top 0.2%
Papers in
-
- Energy Efficient Wireless Sensor Networks 124
- IoT and Edge/Fog Computing 109
- Security in Wireless Sensor Networks 48
- Mobile Ad Hoc Networks 38
- Opportunistic and Delay-Tolerant Networks 31
-
- Mobile Crowdsensing and Crowdsourcing 50
Anfeng Liu
333 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Computer Networks and Communications 9.0k
- Computer Science Applications 896
- Information Systems 2.0k
- Electrical and Electronic Engineering 4.9k
- Artificial Intelligence 2.4k
Countries citing papers authored by Anfeng Liu
This map shows the geographic impact of Anfeng Liu'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 Anfeng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anfeng Liu more than expected).
Fields of papers citing papers by Anfeng Liu
This network shows the impact of papers produced by Anfeng Liu. 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 Anfeng Liu. The network helps show where Anfeng Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Anfeng Liu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 8 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 39 | |
| 14 | 2020 | 68 | |
| 15 | 2020 | 94 | |
| 16 | 2019 | 27 | |
| 17 | 2019 | 88 | |
| 18 | 2019 | 34 | |
| 19 | 2019 | 45 | |
| 20 | 2018 | 4 |
About Anfeng Liu
Anfeng Liu is a scholar working on Computer Networks and Communications, Computer Science Applications, Transportation, Information Systems and Artificial Intelligence, having authored 349 papers that have together received 12.9k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (124 papers), IoT and Edge/Fog Computing (109 papers), Mobile Crowdsensing and Crowdsourcing (50 papers), Security in Wireless Sensor Networks (48 papers), Energy Harvesting in Wireless Networks (47 papers), Privacy-Preserving Technologies in Data (46 papers), Mobile Ad Hoc Networks (38 papers) and Opportunistic and Delay-Tolerant Networks (31 papers). The work is most often cited by research in Computer Networks and Communications (9.0k citations), Computer Science Applications (896 citations), Information Systems (2.0k citations), Electrical and Electronic Engineering (4.9k citations) and Artificial Intelligence (2.4k citations). Anfeng Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Tian Wang, Naixue Xiong, Mianxiong Dong, Kaoru Ota, Yuxin Liu, Xiao Liu, Shaobo Zhang, Wei Liu, Zhigang Chen and Mande Xie. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal, Sensors, IEEE Transactions on Industrial Informatics and Future Generation Computer 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.