Shaobo Zhang

14.7k total citations · 2 hit papers
175 papers, 9.8k citations indexed

About

Shaobo Zhang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Science Applications. According to data from OpenAlex, Shaobo Zhang has authored 175 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Artificial Intelligence, 55 papers in Computer Networks and Communications and 42 papers in Computer Science Applications. Recurrent topics in Shaobo Zhang's work include Privacy-Preserving Technologies in Data (55 papers), Mobile Crowdsensing and Crowdsourcing (42 papers) and IoT and Edge/Fog Computing (32 papers). Shaobo Zhang is often cited by papers focused on Privacy-Preserving Technologies in Data (55 papers), Mobile Crowdsensing and Crowdsourcing (42 papers) and IoT and Edge/Fog Computing (32 papers). Shaobo Zhang collaborates with scholars based in China, United States and Japan. Shaobo Zhang's co-authors include Robert C. MacCallum, Sehee Hong, Keith F. Widaman, Derek D. Rucker, Kristopher J. Preacher, Tian Wang, Anfeng Liu, Guojun Wang, Naixue Xiong and In Jae Myung and has published in prestigious journals such as PLoS ONE, Psychological Review and IEEE Transactions on Industrial Electronics.

In The Last Decade

Shaobo Zhang

161 papers receiving 9.3k citations

Hit Papers

Sample size in factor analysis. 1999 2026 2008 2017 1999 2002 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaobo Zhang China 34 1.4k 1.4k 1.4k 1.3k 1.3k 175 9.8k
Anna L. Cox United Kingdom 41 257 0.2× 2.2k 1.5× 517 0.4× 706 0.5× 1.5k 1.2× 301 7.9k
Ahmed K. Elmagarmid United States 47 1.6k 1.1× 2.9k 2.1× 3.5k 2.5× 634 0.5× 1.3k 1.0× 236 22.7k
Chin‐Chung Tsai Taiwan 91 573 0.4× 611 0.4× 1.2k 0.9× 1.7k 1.3× 3.9k 3.1× 455 26.9k
Andrew T. Campbell United States 66 1.0k 0.7× 8.7k 6.1× 1.6k 1.1× 867 0.7× 1.5k 1.2× 312 20.1k
Mourad Ouzzani United States 31 1.5k 1.1× 982 0.7× 1.9k 1.4× 624 0.5× 972 0.8× 129 18.4k
Sunny Consolvo United States 39 330 0.2× 514 0.4× 589 0.4× 330 0.3× 1.9k 1.5× 86 7.3k
Isabel de la Torre Díez Spain 43 433 0.3× 634 0.4× 1.0k 0.7× 326 0.2× 457 0.4× 318 8.0k
Maureen Lahiff United States 23 1.9k 1.3× 250 0.2× 1.8k 1.3× 1.1k 0.8× 1.9k 1.5× 70 16.2k
Patrick Olivier United Kingdom 57 408 0.3× 286 0.2× 559 0.4× 488 0.4× 1.2k 1.0× 454 13.3k
Daniel Johnson Australia 38 910 0.6× 250 0.2× 429 0.3× 1.5k 1.1× 2.4k 1.9× 219 6.5k

Countries citing papers authored by Shaobo Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaobo Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaobo Zhang. A scholar is included among the top collaborators of Shaobo 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 Shaobo Zhang. Shaobo 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
2.
Tang, Jianheng, Yuhao Zheng, Naixue Xiong, et al.. (2025). PUWR-TSSG: A CMAB-based post-unknown worker recruitment scheme for Three-Stage Stackelberg Games in Mobile Crowd Sensing. Information Sciences. 723. 122693–122693.
3.
He, Qian, et al.. (2025). An Anonymous, Trust and Fairness Based Privacy Preserving Service Construction Framework in Mobile Crowdsourcing. IEEE Transactions on Services Computing. 18(2). 618–632. 1 indexed citations
4.
Zhang, Shaobo, et al.. (2024). Promoting electroreduction of nitrite to ammonia over electron-deficient Pd modulated by rectifying Schottky contacts. Journal of Energy Chemistry. 98. 524–530. 8 indexed citations
5.
Xiong, Naixue, et al.. (2024). A trust and privacy-preserving intelligent big data collection scheme in mobile edge-cloud crowdsourcing. Future Generation Computer Systems. 157. 145–163. 7 indexed citations
6.
Liu, Anfeng, et al.. (2024). VLR-BPP: An intelligent virtual location replacement based bilateral privacy-preserving architecture for edge cloud systems. Future Generation Computer Systems. 163. 107488–107488. 1 indexed citations
7.
8.
Chen, Lingyi, Mingfeng Huang, Xiaoheng Deng, et al.. (2023). RLTD: A Reinforcement Learning-based Truth Data Discovery scheme for decision support systems under sustainable environments. Applied Soft Computing. 143. 110369–110369. 10 indexed citations
9.
Tang, Jianheng, et al.. (2023). Credit and quality intelligent learning based multi-armed bandit scheme for unknown worker selection in multimedia MCS. Information Sciences. 647. 119444–119444. 31 indexed citations
10.
Chen, Lingyi, et al.. (2023). DTC-MDD: A spatiotemporal data acquisition technology for privacy-preserving in MCS. Information Sciences. 658. 120018–120018. 4 indexed citations
11.
Zeng, Zhiwen, et al.. (2023). A decentralized trust inference approach with intelligence to improve data collection quality for mobile crowd sensing. Information Sciences. 644. 119286–119286. 15 indexed citations
12.
Tang, Jianheng, et al.. (2023). A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd. Computer Communications. 206. 85–100. 8 indexed citations
13.
Wang, Luying, Anfeng Liu, Naixue Xiong, et al.. (2023). SD-SRF: An Intelligent Service Deployment Scheme for Serverless-operated Cloud-Edge Computing in 6G Networks. Future Generation Computer Systems. 151. 242–259. 16 indexed citations
14.
Wei, Yin, et al.. (2023). Evaluation of building arrangement on natural ventilation potential in ideal building arrays. Journal of Asian Architecture and Building Engineering. 22(6). 3759–3781. 1 indexed citations
15.
Gui, Jinsong, Guosheng Huang, Mianxiong Dong, et al.. (2023). A Low-Cost UAV Task Offloading Scheme Based on Trustable and Trackable Data Routing. IEEE Transactions on Intelligent Vehicles. 9(9). 5797–5812. 7 indexed citations
16.
Tang, Jianheng, et al.. (2023). CRL-MABA: A Completion Rate Learning-Based Accurate Data Collection Scheme in Large-Scale Energy Internet. IEEE Internet of Things Journal. 11(14). 24400–24413. 7 indexed citations
17.
Peng, Tao, et al.. (2023). Spatiotemporal-Aware Privacy-Preserving Task Matching in Mobile Crowdsensing. IEEE Internet of Things Journal. 11(2). 2394–2406. 21 indexed citations
18.
Zeng, Zhiwen, et al.. (2022). TANTO: An Effective Trust-Based Unmanned Aerial Vehicle Computing System for the Internet of Things. IEEE Internet of Things Journal. 10(7). 5644–5661. 33 indexed citations
19.
Huang, Shaobo, Anfeng Liu, Shaobo Zhang, Tian Wang, & Naixue Xiong. (2020). BD-VTE: A Novel Baseline Data Based Verifiable Trust Evaluation Scheme for Smart Network Systems. IEEE Transactions on Network Science and Engineering. 8(3). 2087–2105. 118 indexed citations
20.
Zhang, Shaobo. (2000). Applications of geometric complexity and the minimum description length principle in mathematical modeling of cognition /. OhioLink ETD Center (Ohio Library and Information Network). 1 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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