Yanmin Zhu

9.8k total citations · 2 hit papers
342 papers, 7.0k citations indexed

About

Yanmin Zhu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Yanmin Zhu has authored 342 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Computer Networks and Communications, 113 papers in Electrical and Electronic Engineering and 82 papers in Artificial Intelligence. Recurrent topics in Yanmin Zhu's work include Mobile Crowdsensing and Crowdsourcing (53 papers), Indoor and Outdoor Localization Technologies (46 papers) and Vehicular Ad Hoc Networks (VANETs) (40 papers). Yanmin Zhu is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (53 papers), Indoor and Outdoor Localization Technologies (46 papers) and Vehicular Ad Hoc Networks (VANETs) (40 papers). Yanmin Zhu collaborates with scholars based in China, Hong Kong and United States. Yanmin Zhu's co-authors include Jiadi Yu, Minglu Li, Lionel M. Ni, Hongzi Zhu, Guangtao Xue, Zhenni Feng, Yanyan Shen, Yingying Chen, Qian Zhang and Linghe Kong and has published in prestigious journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Information Sciences.

In The Last Decade

Yanmin Zhu

326 papers receiving 6.8k citations

Hit Papers

TRAC: Truthful auction fo... 2014 2026 2018 2022 2014 2014 100 200 300
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. TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing
    2014 324 citations Zhenni Feng, Yanmin Zhu et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →
  2. <italic>CDC</italic>: Compressive Data Collection for Wireless Sensor Networks
    2014 227 citations Yanmin Zhu, Linghe Kong et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanmin Zhu China 44 2.4k 2.0k 1.6k 1.4k 1.3k 342 7.0k
Zhiwen Yu China 44 2.2k 0.9× 1.9k 0.9× 2.3k 1.4× 1.7k 1.3× 2.1k 1.6× 520 9.2k
Burak Kantarcı Canada 39 2.8k 1.2× 1.8k 0.9× 1.8k 1.1× 1.2k 0.9× 707 0.5× 295 6.1k
Cyrus Shahabi United States 50 2.5k 1.1× 1.0k 0.5× 3.3k 2.0× 1.2k 0.9× 2.1k 1.6× 360 10.1k
Huadóng Ma China 46 3.4k 1.4× 2.4k 1.2× 1.7k 1.0× 640 0.5× 745 0.6× 516 9.2k
Lü Su United States 41 961 0.4× 1.4k 0.7× 3.0k 1.9× 1.2k 0.9× 880 0.7× 179 6.5k
Kai Zheng China 46 1.8k 0.8× 521 0.3× 2.2k 1.4× 1.8k 1.3× 1.8k 1.3× 357 7.0k
Shaojie Tang United States 41 3.8k 1.6× 2.9k 1.4× 1.3k 0.8× 916 0.7× 502 0.4× 329 7.3k
Hongbo Jiang China 49 3.6k 1.5× 3.0k 1.5× 1.5k 0.9× 1.3k 0.9× 518 0.4× 341 7.9k
Zimu Zhou China 45 1.9k 0.8× 4.1k 2.0× 916 0.6× 299 0.2× 801 0.6× 138 7.0k
Chi Harold Liu China 43 2.9k 1.2× 1.8k 0.9× 2.1k 1.3× 936 0.7× 575 0.4× 172 6.8k

Countries citing papers authored by Yanmin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Yanmin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanmin Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanmin Zhu. A scholar is included among the top collaborators of Yanmin Zhu 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 Yanmin Zhu. Yanmin Zhu 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
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Yu, Jiadi, Hao Kong, Yi‐Chao Chen, et al.. (2025). OccMesh: Occlusion-aware Multi-user 3D Human Mesh Reconstruction Using mmWave Signals. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(3). 1–22.
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Zhu, Yanmin, et al.. (2025). Dual-Adaptive Update Strategies-Enhanced Meta-Optimization for User Cold-Start Recommendation. ACM Transactions on Information Systems. 43(6). 1–36.
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Zhu, Yanmin, et al.. (2024). MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. 501–509. 11 indexed citations
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Liu, Jiacheng, Feilong Tang, Zhijian Zheng, et al.. (2023). Practical Network Modeling Using Weak Supervision Signals for Human-Centric Networking in Metaverse. IEEE Journal on Selected Areas in Communications. 42(3). 680–693. 4 indexed citations
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Wang, Ke, et al.. (2023). Multi-aspect Graph Contrastive Learning for Review-enhanced Recommendation. ACM Transactions on Information Systems. 42(2). 1–29. 8 indexed citations
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Yu, Jiadi, et al.. (2023). Sensing Human Gait for Environment-Independent User Authentication Using Commodity RFID Devices. IEEE Transactions on Mobile Computing. 23(5). 6304–6317. 3 indexed citations
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Liu, Tong, et al.. (2022). Deep Reinforcement Learning Based Approach for Online Service Placement and Computation Resource Allocation in Edge Computing. IEEE Transactions on Mobile Computing. 22(7). 3870–3881. 66 indexed citations
13.
Yu, Jiadi, Li Lü, Yingying Chen, Yanmin Zhu, & Linghe Kong. (2019). An Indirect Eavesdropping Attack of Keystrokes on Touch Screen through Acoustic Sensing. IEEE Transactions on Mobile Computing. 20(2). 337–351. 147 indexed citations
14.
Xu, Xiangyu, Jiadi Yu, Yingying Chen, Yanmin Zhu, & Minglu Li. (2019). Leveraging Acoustic Signals for Vehicle Steering Tracking with Smartphones. IEEE Transactions on Mobile Computing. 19(4). 865–879. 14 indexed citations
15.
Liu, Tong, et al.. (2018). TGBA: A two-phase group buying based auction mechanism for recruiting workers in mobile crowd sensing. Computer Networks. 149. 56–75. 13 indexed citations
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Jiang, Ruobing, Zhenni Feng, Desheng Zhang, et al.. (2017). Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks. IEEE Transactions on Big Data. 7(2). 313–326. 4 indexed citations
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Liu, Tong, et al.. (2017). Distributed Social Welfare Maximization in Urban Vehicular Participatory Sensing Systems. IEEE Transactions on Mobile Computing. 17(6). 1314–1325. 15 indexed citations
18.
Zhu, Yanmin, et al.. (2016). NoiseSense: A Crowd Sensing System for Urban Noise Mapping Service. 80–87. 16 indexed citations
19.
Feng, Zhenni, Yanmin Zhu, Qian Zhang, Lionel M. Ni, & Athanasios V. Vasilakos. (2014). TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1231–1239. 324 indexed citations breakdown →
20.
Zhu, Hongzi, Yanmin Zhu, M. Li, & Lionel M. Ni. (2009). SEER: Metropolitan-Scale Traffic Perception Based on Lossy Sensory Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 217–225. 77 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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