Fan Wu
- Computer Science Applications top 0.1%
- Mobile Crowdsensing and Crowdsourcing 56
- Computer Networks and Communications top 0.5%
- Mobile Ad Hoc Networks 46
- Cooperative Communication and Network Coding 34
- Energy Efficient Wireless Sensor Networks 32
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- Auction Theory and Applications 59
- Transportation top 1%
- Artificial Intelligence top 0.5%
- Privacy-Preserving Technologies in Data 60
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- Indoor and Outdoor Localization Technologies 36
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- Consumer Market Behavior and Pricing 24
- Co-authors
- Guihai ChenShaojie TangZhenzhe ZhengXiaofeng GaoSheng ZhongDan PengShuo YangHaipeng Dai
- Cited by
- Computer Science ApplicationsComputer Networks and CommunicationsManagement Science and Operations Research
- Journals
- IEEE Transactions on Mobile Computing (22 papers)IEEE/ACM Transactions on Networking (15 papers)IEEE Journal on Selected Areas in Communications (7 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Fan Wu
302 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Computer Science Applications 1.3k
- Computer Networks and Communications 2.2k
- Management Science and Operations Research 818
- Transportation 439
- Artificial Intelligence 1.6k
Countries citing papers authored by Fan Wu
This map shows the geographic impact of Fan Wu'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 Fan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Wu more than expected).
Fields of papers citing papers by Fan Wu
This network shows the impact of papers produced by Fan Wu. 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 Fan Wu. The network helps show where Fan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Wu, 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 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 4 | |
| 15 | 2021 | 22 | |
| 16 | 2021 | 89 | |
| 17 | 2021 | 19 | |
| 18 | 2018 | 8 | |
| 19 | 2017 | 7 | |
| 20 | Sequential pattern mining with multiple minimum supports: A tree based approach | 2010 | 4 |
About Fan Wu
Fan Wu is a scholar working on Computer Science Applications, Computer Networks and Communications and Management Science and Operations Research, having authored 331 papers that have together received 5.6k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (60 papers), Auction Theory and Applications (59 papers), Mobile Crowdsensing and Crowdsourcing (56 papers), Mobile Ad Hoc Networks (46 papers), Indoor and Outdoor Localization Technologies (36 papers), Cooperative Communication and Network Coding (34 papers), Energy Efficient Wireless Sensor Networks (32 papers) and Consumer Market Behavior and Pricing (24 papers). The work is most often cited by research in Computer Science Applications (1.3k citations), Computer Networks and Communications (2.2k citations) and Management Science and Operations Research (818 citations). Fan Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guihai Chen, Shaojie Tang, Zhenzhe Zheng, Xiaofeng Gao, Sheng Zhong, Dan Peng, Shuo Yang, Haipeng Dai, Linghe Kong and Fu‐Kuo Chang. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology and IEEE Transactions on Wireless Communications.
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.