Yaoxue Zhang

10.3k total citations · 2 hit papers
278 papers, 7.4k citations indexed

About

Yaoxue Zhang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yaoxue Zhang has authored 278 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Computer Networks and Communications, 92 papers in Information Systems and 73 papers in Artificial Intelligence. Recurrent topics in Yaoxue Zhang's work include IoT and Edge/Fog Computing (52 papers), Privacy-Preserving Technologies in Data (43 papers) and Cloud Computing and Resource Management (42 papers). Yaoxue Zhang is often cited by papers focused on IoT and Edge/Fog Computing (52 papers), Privacy-Preserving Technologies in Data (43 papers) and Cloud Computing and Resource Management (42 papers). Yaoxue Zhang collaborates with scholars based in China, Canada and United States. Yaoxue Zhang's co-authors include Ju Ren, Deyu Zhang, Xuemin Shen, Yuezhi Zhou, Chugui Xu, Yang Xu, Shiwen He, Cheng Zhang, Kuan Zhang and Feng Lyu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Yaoxue Zhang

263 papers receiving 7.2k citations

Hit Papers

A Survey on End-Edge-Clou... 2017 2026 2020 2023 2019 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaoxue Zhang China 49 4.0k 2.3k 2.3k 2.1k 959 278 7.4k
Ju Ren China 55 4.8k 1.2× 2.4k 1.1× 2.9k 1.3× 2.7k 1.3× 1.1k 1.1× 242 9.0k
Jianwei Niu China 50 4.0k 1.0× 2.6k 1.2× 2.0k 0.9× 1.8k 0.9× 1.2k 1.3× 384 8.1k
Qun Li China 54 6.3k 1.6× 2.0k 0.9× 1.9k 0.8× 3.4k 1.6× 1.4k 1.5× 366 10.1k
Han‐Chieh Chao Taiwan 51 5.5k 1.4× 2.4k 1.0× 2.0k 0.9× 2.8k 1.4× 1.0k 1.1× 457 9.2k
Zhi Zhou China 37 4.1k 1.0× 1.5k 0.7× 1.9k 0.8× 1.9k 0.9× 1.3k 1.3× 166 6.6k
Sahil Garg Canada 48 3.9k 1.0× 2.3k 1.0× 2.4k 1.1× 1.9k 0.9× 806 0.8× 254 7.3k
Xiang‐Yang Li China 58 7.2k 1.8× 1.7k 0.7× 2.4k 1.1× 4.9k 2.4× 1.1k 1.2× 551 12.5k
Tom H. Luan China 51 4.5k 1.1× 2.4k 1.0× 2.6k 1.1× 3.4k 1.6× 934 1.0× 254 8.9k
Yanmin Zhu China 44 2.4k 0.6× 1.4k 0.6× 1.6k 0.7× 2.0k 1.0× 823 0.9× 342 7.0k
Fatos Xhafa Spain 41 4.1k 1.0× 2.2k 1.0× 1.3k 0.6× 1.2k 0.6× 485 0.5× 528 6.8k

Countries citing papers authored by Yaoxue Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Yaoxue Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoxue Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoxue Zhang. A scholar is included among the top collaborators of Yaoxue Zhang 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 Yaoxue Zhang. Yaoxue Zhang 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.
Zhang, Jinrui, Deyu Zhang, Tingting Long, et al.. (2025). MobiFuse: A High-Precision On-Device Depth Perception System With Multi-Data Fusion. IEEE Transactions on Mobile Computing. 25(1). 1469–1482.
2.
Lyu, Feng, Ju Ren, Huaqing Wu, et al.. (2024). CODE+: Fast and Accurate Inference for Compact Distributed IoT Data Collection. IEEE Transactions on Parallel and Distributed Systems. 35(11). 2006–2022. 8 indexed citations
3.
Zhang, Yongzhao, et al.. (2024). Adaptive Metasurface-Based Acoustic Imaging using Joint Optimization. 492–504. 5 indexed citations
4.
Chen, Hanyuan, et al.. (2024). Manipulating Voice Assistants Eavesdropping via Inherent Vulnerability Unveiling in Mobile Systems. IEEE Transactions on Mobile Computing. 23(12). 11549–11563. 9 indexed citations
6.
Lyu, Feng, Huaqing Wu, Jie Zhang, et al.. (2023). FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving Trajectories. IEEE Journal on Selected Areas in Communications. 41(12). 3878–3892. 22 indexed citations
7.
Zhang, Jinrui, Huan Yang, Ju Ren, et al.. (2023). HiMoDepth: Efficient Training-Free High-Resolution On-Device Depth Perception. IEEE Transactions on Mobile Computing. 23(5). 4648–4664. 2 indexed citations
8.
Wang, Dan, Ju Ren, Zhibo Wang, Yichuan Wang, & Yaoxue Zhang. (2022). PrivAim: A Dual-Privacy Preserving and Quality-Aware Incentive Mechanism for Federated Learning. IEEE Transactions on Computers. 1–14. 18 indexed citations
9.
Deng, Yongheng, Feng Lyu, Ju Ren, et al.. (2022). Improving Federated Learning With Quality-Aware User Incentive and Auto-Weighted Model Aggregation. IEEE Transactions on Parallel and Distributed Systems. 33(12). 4515–4529. 49 indexed citations
10.
Wu, Fan, et al.. (2021). RLSS: A Reinforcement Learning Scheme for HD Map Data Source Selection in Vehicular NDN. IEEE Internet of Things Journal. 9(13). 10777–10791. 19 indexed citations
11.
Xu, Yang, Cheng Zhang, Quanrun Zeng, et al.. (2020). Blockchain-Enabled Accountability Mechanism Against Information Leakage in Vertical Industry Services. IEEE Transactions on Network Science and Engineering. 8(2). 1202–1213. 91 indexed citations
12.
Ren, Ju, et al.. (2020). Joint Channel Allocation and Resource Management for Stochastic Computation Offloading in MEC. IEEE Transactions on Vehicular Technology. 69(8). 8900–8913. 55 indexed citations
13.
He, Shiwen, Jiaheng Wang, Jun Zhang, Yongming Huang, & Yaoxue Zhang. (2019). Coordinated Fronthaul Data Assignment and Multicast Beamforming for Cache-Enabled Wireless Networks. IEEE Wireless Communications Letters. 8(4). 1082–1085. 5 indexed citations
14.
Wu, Chao, Yaoxue Zhang, & Yongheng Deng. (2019). Toward Fast and Distributed Computation Migration System for Edge Computing in IoT. IEEE Internet of Things Journal. 6(6). 10041–10052. 11 indexed citations
15.
Ren, Ju, Deyu Zhang, Shiwen He, Yaoxue Zhang, & Tao Li. (2019). A Survey on End-Edge-Cloud Orchestrated Network Computing Paradigms. ACM Computing Surveys. 52(6). 1–36. 457 indexed citations breakdown →
16.
Duan, Sijing, Deyu Zhang, Ju Ren, & Yaoxue Zhang. (2018). Resource allocation for hybrid energy powered cloud radio access network with battery leakage. IET Communications. 12(18). 2274–2281. 1 indexed citations
17.
Ren, Ju, Sheng Yue, Deyu Zhang, Yaoxue Zhang, & Jiannong Cao. (2018). Joint Channel Assignment and Stochastic Energy Management for RF-Powered OFDMA WSNs. IEEE Transactions on Vehicular Technology. 68(2). 1578–1592. 21 indexed citations
18.
Ren, Ju, Junying Hu, Ruilong Deng, et al.. (2017). Joint Load Scheduling and Voltage Regulation in the Distribution System With Renewable Generators. IEEE Transactions on Industrial Informatics. 14(4). 1564–1574. 26 indexed citations
19.
Zhong, Ming, et al.. (2011). A PERSONALIZED FACET-WEIGHT BASED RANKING METHOD FOR SERVICE COMPONENT RETRIEVAL. Computing and Informatics / Computers and Artificial Intelligence. 30(3). 491–511. 1 indexed citations
20.
Zhang, Yaoxue. (2004). Transparence Computing:Concept,Architecture and Example. Dianzi xuebao. 14 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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