Zhetao Li

6.1k total citations · 2 hit papers
194 papers, 4.5k citations indexed

About

Zhetao Li is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Zhetao Li has authored 194 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Computer Networks and Communications, 50 papers in Artificial Intelligence and 49 papers in Electrical and Electronic Engineering. Recurrent topics in Zhetao Li's work include IoT and Edge/Fog Computing (32 papers), Privacy-Preserving Technologies in Data (28 papers) and Mobile Crowdsensing and Crowdsourcing (25 papers). Zhetao Li is often cited by papers focused on IoT and Edge/Fog Computing (32 papers), Privacy-Preserving Technologies in Data (28 papers) and Mobile Crowdsensing and Crowdsourcing (25 papers). Zhetao Li collaborates with scholars based in China, South Korea and Japan. Zhetao Li's co-authors include Qingyong Deng, Rong Yu, Yan Zhang, Dongdong Ye, Jiawen Kang, Anfeng Liu, Young‐June Choi, Jie Li, Saiqin Long and Hiroo Sekiya and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Zhetao Li

184 papers receiving 4.4k citations

Hit Papers

Consortium Blockchain for Secure Energy Trading in Indust... 2017 2026 2020 2023 2017 2018 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhetao Li China 35 2.2k 1.5k 1.3k 1.1k 649 194 4.5k
Qingqi Pei China 37 2.2k 1.0× 1.8k 1.1× 1.2k 0.9× 1.6k 1.5× 774 1.2× 219 5.0k
Yang Zhang China 36 2.4k 1.1× 1.2k 0.8× 1.1k 0.9× 1.6k 1.5× 573 0.9× 248 5.3k
Julie A. McCann United Kingdom 31 2.6k 1.2× 1.7k 1.1× 824 0.6× 1.1k 1.0× 450 0.7× 183 4.6k
Chunsheng Zhu China 37 3.1k 1.4× 1.5k 1.0× 1.1k 0.9× 1.1k 1.0× 459 0.7× 177 4.9k
Linghe Kong China 40 2.6k 1.2× 3.0k 1.9× 1.0k 0.8× 832 0.8× 688 1.1× 258 6.0k
Deze Zeng China 37 3.5k 1.6× 1.8k 1.2× 1.6k 1.2× 1.2k 1.1× 489 0.8× 199 5.4k
Zhi Zhou China 37 4.1k 1.9× 1.9k 1.2× 1.5k 1.2× 1.9k 1.8× 1.3k 2.0× 166 6.6k
Lanyu Xu United States 9 3.6k 1.6× 1.3k 0.9× 1.7k 1.3× 1.0k 1.0× 1.1k 1.7× 17 5.3k
Mohammed Aledhari United States 12 4.2k 1.9× 2.5k 1.6× 1.6k 1.2× 1.2k 1.1× 755 1.2× 25 6.5k

Countries citing papers authored by Zhetao Li

Since Specialization
Citations

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

Fields of papers citing papers by Zhetao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhetao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zhetao Li. A scholar is included among the top collaborators of Zhetao Li 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 Zhetao Li. Zhetao Li 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.
Cui, Lin, et al.. (2025). DisPLOY: Target-Constrained Distributed Deployment for Network Measurement Tasks on Data Plane. IEEE Transactions on Parallel and Distributed Systems. 36(8). 1608–1619.
2.
Li, Zhetao, Yong Xiao, Haolin Liu, et al.. (2025). Dynamic Graph Publication With Differential Privacy Guarantees for Decentralized Applications. IEEE Transactions on Computers. 74(5). 1771–1785.
3.
Li, Zhetao, et al.. (2025). A Trust-Based Computation Offloading Framework in Mobile Cloud-Edge Computing Networks. IEEE Transactions on Mobile Computing. 24(6). 5370–5385. 3 indexed citations
4.
Tian, Shujuan, et al.. (2025). Partial Offloading Strategy Based on Deep Reinforcement Learning in the Internet of Vehicles. IEEE Transactions on Mobile Computing. 24(7). 6517–6531. 1 indexed citations
5.
Cui, Lin, et al.. (2024). DNN acceleration in vehicle edge computing with mobility-awareness: A synergistic vehicle–edge and edge–edge framework. Computer Networks. 251. 110607–110607. 1 indexed citations
6.
Li, Zhetao, et al.. (2024). Defending Data Poisoning Attacks in DP-Based Crowdsensing: A Game-Theoretic Approach. IEEE Transactions on Mobile Computing. 24(3). 1859–1876. 1 indexed citations
7.
Long, Saiqin, et al.. (2024). Propagation Verification Under Social Relationship Privacy Awareness in Mobile Crowdsourcing. IEEE Transactions on Mobile Computing. 23(12). 12461–12476. 1 indexed citations
8.
Long, Saiqin, et al.. (2024). Enhancing Sparse Mobile CrowdSensing With Manifold Optimization and Differential Privacy. IEEE Transactions on Information Forensics and Security. 19. 6070–6083. 6 indexed citations
9.
Li, Zhetao, et al.. (2024). Differentially Private Weighted Graphs Publication Under Continuous Monitoring. IEEE Transactions on Mobile Computing. 24(5). 3735–3749. 1 indexed citations
10.
Wang, Shiguo, Xuewen Fu, Rukhsana Ruby, & Zhetao Li. (2023). Pilot spoofing detection for massive MIMO mmWave communication systems with a cooperative relay. Computer Communications. 202. 33–41. 8 indexed citations
11.
Wang, Shiguo, Min Zhu, Zhetao Li, et al.. (2023). Antenna Selections Strategies for Massive MIMO Systems With Limited-Resolution ADCs/DACs. IEEE Transactions on Wireless Communications. 22(11). 8128–8140. 4 indexed citations
12.
Cui, Lin, et al.. (2023). Dapper: Deploying Service Function Chains in the Programmable Data Plane Via Deep Reinforcement Learning. IEEE Transactions on Services Computing. 16(4). 2532–2544. 2 indexed citations
13.
Huang, Feiran, et al.. (2023). Aligning Distillation For Cold-start Item Recommendation. 1147–1157. 66 indexed citations
14.
Zheng, Jiakang, Jiayi Zhang, Emil Björnson, Zhetao Li, & Bo Ai. (2022). Cell-Free Massive MIMO-OFDM for High-Speed Train Communications. IEEE Journal on Selected Areas in Communications. 40(10). 2823–2839. 55 indexed citations
15.
Wei, Kaimin, Yongdong Wu, Zhetao Li, et al.. (2022). High-Performance UAV Crowdsensing: A Deep Reinforcement Learning Approach. IEEE Internet of Things Journal. 9(19). 18487–18499. 28 indexed citations
16.
Li, Zhetao, et al.. (2022). Semantic-Aware Privacy-Preserving Online Location Trajectory Data Sharing. IEEE Transactions on Information Forensics and Security. 17. 2256–2271. 29 indexed citations
17.
Li, Jie, et al.. (2021). Social Relationship Inference Over Private Vehicle Mobility Data. IEEE Transactions on Vehicular Technology. 70(6). 5221–5233. 9 indexed citations
18.
Li, Jie, et al.. (2018). Machine-Learning-Based Online Distributed Denial-of-Service Attack Detection Using Spark Streaming. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–6. 31 indexed citations
19.
Zhao, Ping, Hongbo Jiang, John C. S. Lui, et al.. (2018). P3-LOC: A Privacy-Preserving Paradigm-Driven Framework for Indoor Localization. IEEE/ACM Transactions on Networking. 26(6). 2856–2869. 51 indexed citations
20.
Kuang, Li‐Dan, Qingyong Deng, & Zhetao Li. (2013). New method for estimating SOC of lithium battery. Computer Engineering and Applications Journal. 49(6). 249–252. 2 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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