Weili Wu

13.3k total citations · 2 hit papers
415 papers, 8.1k citations indexed

About

Weili Wu is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Computational Theory and Mathematics. According to data from OpenAlex, Weili Wu has authored 415 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Computer Networks and Communications, 87 papers in Statistical and Nonlinear Physics and 71 papers in Computational Theory and Mathematics. Recurrent topics in Weili Wu's work include Complex Network Analysis Techniques (86 papers), Mobile Ad Hoc Networks (68 papers) and Opinion Dynamics and Social Influence (51 papers). Weili Wu is often cited by papers focused on Complex Network Analysis Techniques (86 papers), Mobile Ad Hoc Networks (68 papers) and Opinion Dynamics and Social Influence (51 papers). Weili Wu collaborates with scholars based in United States, China and South Korea. Weili Wu's co-authors include Yingshu Li, Ding‐Zhu Du, My T. Thai, Mihaela Cardei, Deying Li, Jianxiong Guo, Wei Zhang, Xin Zhao, Hongwei Du and Zaixin Lu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Weili Wu

398 papers receiving 7.8k citations

Hit Papers

Energy-efficient target c... 2005 2026 2012 2019 2005 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weili Wu 3.4k 1.5k 1.3k 873 843 415 8.1k
Madhav Marathe 2.9k 0.9× 1.2k 0.8× 1.4k 1.1× 264 0.3× 759 0.9× 332 9.3k
Mihaela van der Schaar 4.3k 1.3× 3.8k 2.5× 186 0.1× 768 0.9× 2.7k 3.2× 611 12.9k
Anirban Dasgupta 1.1k 0.3× 209 0.1× 1.5k 1.1× 782 0.9× 2.0k 2.4× 108 7.5k
Xiao Liu 2.2k 0.6× 553 0.4× 289 0.2× 2.2k 2.6× 1.3k 1.5× 433 6.7k
Wagner Meira 1.8k 0.5× 458 0.3× 580 0.4× 1.9k 2.2× 2.1k 2.5× 317 6.5k
Daniel Zeng 740 0.2× 219 0.1× 1.1k 0.8× 2.3k 2.6× 2.6k 3.0× 438 7.5k
Zheng Yan 4.7k 1.4× 1.6k 1.1× 110 0.1× 3.6k 4.1× 4.1k 4.9× 403 10.2k
Naren Ramakrishnan 734 0.2× 322 0.2× 822 0.6× 1.1k 1.2× 2.1k 2.5× 355 5.9k
Soundar Kumara 1.3k 0.4× 668 0.4× 1.9k 1.4× 857 1.0× 1.6k 1.9× 235 8.6k
Guojun Wang 4.1k 1.2× 2.3k 1.5× 356 0.3× 2.8k 3.2× 4.3k 5.1× 596 11.5k

Countries citing papers authored by Weili Wu

Since Specialization
Citations

This map shows the geographic impact of Weili 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 Weili Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili Wu more than expected).

Fields of papers citing papers by Weili Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weili 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 Weili Wu. The network helps show where Weili Wu may publish in the future.

Co-authorship network of co-authors of Weili Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Weili Wu. A scholar is included among the top collaborators of Weili 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 Weili Wu. Weili 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.
Guo, Jianxiong, Xingjian Ding, Zhiqing Tang, et al.. (2025). Optimizing Communication Efficiency through Training Potential in Multi-Modal Federated Learning. ACM Transactions on Internet Technology. 25(3). 1–31. 1 indexed citations
2.
Hirshleifer, David, et al.. (2024). Do sell-side analysts say “buy” while whispering “sell”?. European Finance Review. 28(4). 1275–1310. 3 indexed citations
3.
Zhu, Jianming, et al.. (2024). Efficient algorithm for stochastic rumor blocking problem in social networks during safety accident period. Theoretical Computer Science. 1023. 114898–114898.
4.
Wei, Chen, Yujie Zhang, Weili Wu, Hui Yang, & Wenxiu Huang. (2024). Machine learning-based predictive model for abdominal diseases using physical examination datasets. Computers in Biology and Medicine. 173. 108249–108249. 4 indexed citations
5.
Fan, Yuqi, et al.. (2024). Contract Theory and Stackelberg-Game-Based Storage Resource Allocation in Edge Caching Systems. IEEE Internet of Things Journal. 11(19). 32284–32295. 4 indexed citations
6.
Li, Xiao & Weili Wu. (2024). A Blockchain-Empowered Multiaggregator Federated Learning Architecture in Edge Computing With Deep Reinforcement Learning Optimization. IEEE Transactions on Computational Social Systems. 12(2). 645–657. 2 indexed citations
7.
Li, Xiao, et al.. (2024). Blockchain-Driven Privacy-Preserving Contact-Tracing Framework in Pandemics. IEEE Transactions on Computational Social Systems. 11(3). 4279–4289. 3 indexed citations
8.
Wu, Weili, et al.. (2023). ETF ownership and informational efficiency of underlying stocks: Evidence from China. Pacific-Basin Finance Journal. 79. 102005–102005. 4 indexed citations
9.
Gu, Shuyang, et al.. (2023). Profit maximization in social networks and non-monotone DR-submodular maximization. Theoretical Computer Science. 957. 113847–113847. 1 indexed citations
10.
Guo, Jianxiong, Weili Wu, Tian Wang, & Weijia Jia. (2023). An Online Multi-Item Auction With Differential Privacy in Edge-Assisted Blockchains. IEEE Internet of Things Journal. 11(5). 8133–8145. 2 indexed citations
11.
Jin, Rong, et al.. (2023). A Greedy Monitoring Station Selection for Rumor Source Detection in Online Social Networks. IEEE Transactions on Computational Social Systems. 11(2). 2644–2655. 3 indexed citations
12.
Du, Ding‐Zhu, Pãnos M. Pardalos, Xiao Hu, & Weili Wu. (2022). Introduction to Combinatorial Optimization. Springer optimization and its applications. 3 indexed citations
13.
Jin, Rong & Weili Wu. (2021). Schemes of propagation models and source estimators for rumor source detection in online social networks: A short survey of a decade of research. Discrete Mathematics Algorithms and Applications. 13(4). 2130002–2130002. 6 indexed citations
14.
Luo, Chuanwen, Wenping Chen, Deying Li, et al.. (2020). Optimizing flight trajectory of UAV for efficient data collection in wireless sensor networks. Theoretical Computer Science. 853. 25–42. 14 indexed citations
15.
Wu, Weili, et al.. (2020). Recommended psychological crisis intervention response to the 2019 novel coronavirus pneumonia outbreak in China: a model of West China Hospital. Precision Clinical Medicine. 3(1). 3–8. 402 indexed citations breakdown →
16.
Fan, Yuqi, et al.. (2020). Shuffle Scheduling for MapReduce Jobs Based on Periodic Network Status. IEEE/ACM Transactions on Networking. 28(4). 1832–1844. 4 indexed citations
17.
Yang, Wenguo, et al.. (2019). Maximizing Activity Profit in Social Networks. IEEE Transactions on Computational Social Systems. 6(1). 117–126. 9 indexed citations
18.
Wu, Weili & Lianguang Liu. (2013). Calculation Method for Geoelectric Field in Mid- and Low-latitude Area Based on Sparse Geomagnetic Data. Chinese Journal of Space Science. 33(6). 617–617. 3 indexed citations
19.
Fu, Xianghua, Xuechao Wang, Xinshun Gu, et al.. (2012). Randomized comparison of radial versus femoral approach for patients with STEMI undergoing early PCI following intravenous thrombolysis.. PubMed. 24(8). 412–6. 62 indexed citations
20.
Li, Yingshu, My T. Thai, & Weili Wu. (2007). Wireless Sensor Networks and Applications (Signals and Communication Technology). Springer eBooks. 13 indexed citations

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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