Fan Wu

8.0k total citations · 2 hit papers
331 papers, 5.6k citations indexed

About

Fan Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Fan Wu has authored 331 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Computer Networks and Communications, 97 papers in Artificial Intelligence and 87 papers in Electrical and Electronic Engineering. Recurrent topics in Fan Wu's work include Privacy-Preserving Technologies in Data (60 papers), Auction Theory and Applications (59 papers) and Mobile Crowdsensing and Crowdsourcing (56 papers). Fan Wu is often cited by papers focused on Privacy-Preserving Technologies in Data (60 papers), Auction Theory and Applications (59 papers) and Mobile Crowdsensing and Crowdsourcing (56 papers). Fan Wu collaborates with scholars based in China, United States and Taiwan. Fan Wu's 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 and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Fan Wu

302 papers receiving 5.4k citations

Hit Papers

IoT-Based Smart Rehabilitation System 2014 2026 2018 2022 2014 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. IoT-Based Smart Rehabilitation System
    2014 289 citations Fan Wu et al. profile →
  2. Unsupervised Fake News Detection on Social Media: A Generative Approach
    2019 197 citations Shuo Yang, Kai Shu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fan Wu China 40 2.2k 1.6k 1.4k 1.3k 1.1k 331 5.6k
Shaojie Tang United States 41 3.8k 1.7× 1.3k 0.8× 2.9k 2.0× 924 0.7× 916 0.9× 329 7.3k
Dejun Yang United States 35 2.5k 1.1× 1.8k 1.1× 3.2k 2.2× 2.3k 1.8× 949 0.9× 135 7.1k
Burak Kantarcı Canada 39 2.8k 1.3× 1.8k 1.1× 1.8k 1.3× 1.2k 0.9× 1.2k 1.2× 295 6.1k
Hadi Otrok United Arab Emirates 33 2.3k 1.0× 1.5k 0.9× 1.4k 1.0× 566 0.4× 1.2k 1.1× 225 4.4k
Xi Fang China 21 1.6k 0.7× 891 0.5× 2.6k 1.8× 1.1k 0.9× 476 0.4× 93 4.9k
Yingshu Li United States 36 3.8k 1.7× 1.4k 0.9× 1.9k 1.3× 632 0.5× 717 0.7× 217 6.0k
Yongxin Tong China 36 1.4k 0.6× 4.2k 2.5× 838 0.6× 2.0k 1.6× 1.1k 1.0× 121 7.0k
Chi Harold Liu China 43 2.9k 1.3× 2.1k 1.3× 1.8k 1.2× 1.2k 1.0× 936 0.9× 172 6.8k
Shibo He China 44 3.5k 1.6× 1.1k 0.7× 3.4k 2.3× 804 0.6× 450 0.4× 259 7.0k
Miao Pan United States 40 2.6k 1.2× 1.5k 0.9× 3.1k 2.2× 423 0.3× 605 0.6× 348 6.1k

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 of co-authors of Fan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Wu. A scholar is included among the top collaborators of Fan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fan Wu. Fan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Chenhao, et al.. (2025). Similarity and Diversity: PCA-Based Contribution Evaluation in Federated Learning. IEEE Internet of Things Journal. 12(12). 20393–20405.
2.
Zhang, Songli, et al.. (2025). MIDDLE: A Mobility-Driven Device-Edge-Cloud Federated Learning Framework. IEEE Transactions on Mobile Computing. 24(6). 4589–4606. 1 indexed citations
3.
4.
Tang, Zhen‐Xing, et al.. (2025). ST-Raptor: LLM-Powered Semi-Structured Table Question Answering. Proceedings of the ACM on Management of Data. 3(6). 1–27.
5.
Zheng, Zhenzhe, et al.. (2024). When Crowdsourcing Meets Data Markets: A Fair Data Value Metric for Data Trading. Journal of Computer Science and Technology. 39(3). 671–690. 1 indexed citations
6.
7.
Wu, Fan, et al.. (2024). Trajectory-wise Iterative Reinforcement Learning Framework for Auto-bidding. 4193–4203. 1 indexed citations
8.
Huang, Qianyi, et al.. (2024). Gesture Recognition Using Visible Light on Mobile Devices. IEEE/ACM Transactions on Networking. 32(4). 2920–2935.
9.
Wu, Fan, et al.. (2023). Building an Electronic Medical Record System Exchanged in FHIR Format and Its Visual Presentation. Healthcare. 11(17). 2410–2410. 3 indexed citations
10.
11.
Huang, Qianyi, Xu Chen, Rui Wang, et al.. (2023). Spectrum Sensing Everywhere: Wide-Band Spectrum Sensing With Low-Cost UWB Nodes. IEEE/ACM Transactions on Networking. 32(3). 2112–2127. 4 indexed citations
12.
Sun, Jiankai, et al.. (2023). PSLF: Defending Against Label Leakage in Split Learning. 2492–2501. 3 indexed citations
13.
Zhang, Zhilin, et al.. (2023). Truthful Auctions for Automated Bidding in Online Advertising. 2915–2922. 5 indexed citations
14.
Wu, Tao, Xiaochen Fan, Hao Wei, et al.. (2023). Predictive Service Provisioning With Online Learning in Wireless Edge Networks. IEEE Transactions on Mobile Computing. 23(5). 4076–4091. 4 indexed citations
15.
Qu, Yuben, et al.. (2021). Server Placement for Edge Computing: A Robust Submodular Maximization Approach. IEEE Transactions on Mobile Computing. 22(6). 3634–3649. 19 indexed citations
16.
Yang, Shuo, et al.. (2019). Unsupervised Fake News Detection on Social Media: A Generative Approach. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 5644–5651. 197 indexed citations breakdown →
17.
Qu, Chao, et al.. (2018). Social Connection Aware Team Formation for Participatory Tasks. IEEE Access. 6. 20309–20319. 10 indexed citations
18.
Lin, Yu, Fan Wu, Linghe Kong, & Guihai Chen. (2018). Quality-Based User Recruitment in Mobile CrowdSensing. 74–80. 6 indexed citations
19.
Hu, Ya‐Han, et al.. (2010). Considering RFM-values of frequent patterns in transactional databases. International Conference on Software Engineering. 422–427. 6 indexed citations
20.
Wu, Fan. (2007). Key Technologies and Developments on Self-organized Wireless Network. ZTE 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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