Sheng Zhang

5.1k total citations
215 papers, 3.3k citations indexed

About

Sheng Zhang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sheng Zhang has authored 215 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Networks and Communications, 47 papers in Computer Vision and Pattern Recognition and 44 papers in Electrical and Electronic Engineering. Recurrent topics in Sheng Zhang's work include IoT and Edge/Fog Computing (41 papers), Cloud Computing and Resource Management (29 papers) and Mobile Crowdsensing and Crowdsourcing (20 papers). Sheng Zhang is often cited by papers focused on IoT and Edge/Fog Computing (41 papers), Cloud Computing and Resource Management (29 papers) and Mobile Crowdsensing and Crowdsourcing (20 papers). Sheng Zhang collaborates with scholars based in China, United States and Japan. Sheng Zhang's co-authors include Jie Wu, Sanglu Lu, Zhuzhong Qian, Mingjun Xiao, Imad Jawhar, Jameela Al‐Jaroodi, Nader Mohamed, Yibo Jin, Mingjun Xiao and Weiwei Tan and has published in prestigious journals such as The Science of The Total Environment, JNCI Journal of the National Cancer Institute and Journal of Cleaner Production.

In The Last Decade

Sheng Zhang

193 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng Zhang China 33 1.3k 861 675 639 552 215 3.3k
Yunhuai Liu China 37 1.4k 1.1× 1.6k 1.9× 449 0.7× 618 1.0× 321 0.6× 165 3.6k
Ruyan Wang China 32 1.7k 1.3× 1.1k 1.3× 376 0.6× 774 1.2× 526 1.0× 250 3.3k
Daqing Zhang China 30 961 0.7× 744 0.9× 686 1.0× 681 1.1× 369 0.7× 150 3.5k
Luca Foschini Italy 33 2.6k 2.0× 1.1k 1.2× 682 1.0× 722 1.1× 1.3k 2.4× 281 4.9k
Yunhao Liu China 32 3.0k 2.3× 1.1k 1.3× 460 0.7× 810 1.3× 1.1k 2.0× 138 5.1k
Deze Zeng China 37 3.5k 2.7× 1.8k 2.1× 489 0.7× 1.2k 1.9× 1.6k 2.9× 199 5.4k
Xi Fang China 21 1.6k 1.2× 2.6k 3.0× 305 0.5× 891 1.4× 476 0.9× 93 4.9k
Nalini Venkatasubramanian United States 28 2.2k 1.7× 930 1.1× 572 0.8× 451 0.7× 695 1.3× 252 3.3k
Eirini Eleni Tsiropoulou United States 33 1.5k 1.2× 1.3k 1.5× 275 0.4× 375 0.6× 459 0.8× 170 2.9k
Ouri Wolfson United States 35 2.6k 2.0× 833 1.0× 637 0.9× 839 1.3× 542 1.0× 185 6.3k

Countries citing papers authored by Sheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Zhang. A scholar is included among the top collaborators of Sheng 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 Sheng Zhang. Sheng 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, Sheng, et al.. (2025). Development and validation of machine learning-based prediction model for outcome of cardiac arrest in intensive care units. Scientific Reports. 15(1). 8691–8691. 1 indexed citations
2.
Chen, Ning, Sheng Zhang, Jie Wu, He Huang, & Sanglu Lu. (2025). Spliceosome: On-Camera Video Thinning and Tuning for Timely and Accurate Analytics. 33(3). 1252–1264.
3.
Qian, Zhuzhong, et al.. (2025). Provisioning high precision edge inference with runtime model reconfiguration. Computer Networks. 271. 111585–111585.
4.
Tong, Chen‐Xi, Quan Sun, Feng He, et al.. (2025). Minimum mesh quality for reliable morphology characterization of 3D soil particles. Powder Technology. 460. 121062–121062. 1 indexed citations
5.
6.
Zhang, Sheng, et al.. (2024). Mystique: User-Level Adaptation for Real-Time Video Analytics in Edge Networks via Meta-RL. IEEE Transactions on Mobile Computing. 24(5). 3615–3632. 1 indexed citations
7.
Zhang, Sheng, et al.. (2024). Occurrence, source apportionment and ecological risk of bisphenol analogues in river sediments in areas with different land use patterns. Journal of Environmental Management. 359. 121041–121041. 8 indexed citations
8.
Liang, Yu, Sheng Zhang, & Jie Wu. (2024). SplitStream: Distributed and workload-adaptive video analytics at the edge. Journal of Network and Computer Applications. 225. 103866–103866. 1 indexed citations
9.
Xiao, Mingjun, et al.. (2024). Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach. 1533–1546. 1 indexed citations
10.
Chen, Guang, et al.. (2024). Research on Dynamic Optimization Algorithm of Warehousing Location Layout Based on Nonlinear Optimization. Scalable Computing Practice and Experience. 25(3). 1940–1949. 1 indexed citations
11.
Zhang, Sheng, et al.. (2023). ProScale: Proactive Autoscaling for Microservice With Time-Varying Workload at the Edge. IEEE Transactions on Parallel and Distributed Systems. 34(4). 1294–1312. 31 indexed citations
12.
Zhang, Sheng, et al.. (2023). DVHN: A Deep Hashing Framework for Large-Scale Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems. 24(9). 9268–9280. 3 indexed citations
13.
Xiao, Mingjun, et al.. (2023). AoI-Guaranteed Incentive Mechanism for Mobile Crowdsensing With Freshness Concerns. IEEE Transactions on Mobile Computing. 23(5). 4107–4125. 28 indexed citations
14.
Chen, Zhiqi, Sheng Zhang, Zhi Ma, et al.. (2022). An Online Approach for DNN Model Caching and Processor Allocation in Edge Computing. 1–10. 9 indexed citations
15.
Zhang, Sheng, et al.. (2021). Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning. Neural Information Processing Systems. 34. 3 indexed citations
16.
Jawhar, Imad, Sheng Zhang, Jie Wu, Nader Mohamed, & Mohammad Mehedy Masud. (2021). Distributed Algorithms for Multiple Path Backbone Discovery in Thick Linear Sensor Networks. Journal of Sensor and Actuator Networks. 10(3). 49–49.
17.
Zhang, Sheng, et al.. (2019). Finite-Time Analysis of Q-Learning with Linear Function Approximation.. arXiv (Cornell University). 3 indexed citations
18.
Jawhar, Imad, Nader Mohamed, Jameela Al‐Jaroodi, & Sheng Zhang. (2018). An Architecture for Using Autonomous Underwater Vehicles in Wireless Sensor Networks for Underwater Pipeline Monitoring. IEEE Transactions on Industrial Informatics. 15(3). 1329–1340. 129 indexed citations
19.
Saha, Indranil, Bhargab B. Bhattacharya, Sheng Zhang, & Sharad Seth. (2008). Planar Straight-Line Embedding of Double-Tree Scan Architecture on a Rectangular Grid. Fundamenta Informaticae. 89(2). 331–344. 1 indexed citations
20.
Zhang, Sheng, et al.. (2006). A Water Utility Industry Conceptual Asset Management Data Warehouse Model. QUT ePrints (Queensland University of Technology). 7 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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