Fan Wu

8.0k citations
331 papers · 5.6k indexed · 2 hit papers · h-index 40

Fan Wu

302 papers receiving 5.4k citations

Hit Papers

Unsupervised Fake News Detection on Social Media: ...197201420262018202250100150200250

Peers

Fan Wu
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
Replace Shaojie Tang with:
Shaojie Tang United States
Dejun Yang United States
Yongxin Tong China
Xi Fang China
H. Brendan McMahan United States
Chi Harold Liu China
Miao Pan United States
Hadi Otrok United Arab Emirates
Shibo He China
Daqing Zhang China
Fan Wu relative to Shaojie Tang United States Shaojie Tang's profile →
Citations per field
00.5×1.5×
Shaojie Tang · 1×
Citations per year

Countries citing papers authored by Fan Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fan Wu Line = papers co-authored together Fan Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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19 20177
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Sequential pattern mining with multiple minimum supports: A tree based approach
20104

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.

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