Sheng Gao

3.0k total citations
109 papers, 1.9k citations indexed

About

Sheng Gao is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Sheng Gao has authored 109 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 19 papers in Information Systems and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Sheng Gao's work include Privacy-Preserving Technologies in Data (19 papers), Blockchain Technology Applications and Security (13 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). Sheng Gao is often cited by papers focused on Privacy-Preserving Technologies in Data (19 papers), Blockchain Technology Applications and Security (13 papers) and Mobile Crowdsensing and Crowdsourcing (11 papers). Sheng Gao collaborates with scholars based in China, Singapore and United States. Sheng Gao's co-authors include Jianfeng Ma, Jianming Zhu, Sai Ho Kwok, Xindi Ma, Wei Cai, Cong Sun, Chin‐Hui Lee, Weisong Shi, Qi Jiang and Haizhou Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Optics Express.

In The Last Decade

Sheng Gao

94 papers receiving 1.8k 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 Gao China 25 809 515 271 226 205 109 1.9k
Yufeng Wang China 23 506 0.6× 279 0.5× 514 1.9× 80 0.4× 397 1.9× 157 1.8k
Abdullah Baz Saudi Arabia 24 361 0.4× 404 0.8× 463 1.7× 69 0.3× 382 1.9× 90 1.6k
Min Zhang China 29 1.5k 1.8× 679 1.3× 241 0.9× 156 0.7× 304 1.5× 249 2.9k
Wei Emma Zhang Australia 23 817 1.0× 424 0.8× 475 1.8× 189 0.8× 247 1.2× 165 2.1k
Meng Han China 20 530 0.7× 719 1.4× 503 1.9× 108 0.5× 138 0.7× 157 1.7k
Li Xu China 28 814 1.0× 699 1.4× 1.2k 4.3× 200 0.9× 544 2.7× 167 2.4k
Hongli Zhang China 26 1.1k 1.3× 804 1.6× 1.3k 4.7× 361 1.6× 438 2.1× 276 2.7k
Le Song United States 26 1.0k 1.3× 317 0.6× 179 0.7× 170 0.8× 145 0.7× 77 2.9k

Countries citing papers authored by Sheng Gao

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Gao. A scholar is included among the top collaborators of Sheng Gao 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 Gao. Sheng Gao 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.
Gao, Sheng, et al.. (2025). A hybrid deep learning model based on EMD algorithm for non-stationary water level prediction of estuarine systems. Estuarine Coastal and Shelf Science. 314. 109128–109128. 3 indexed citations
2.
Ma, Xindi, Qi Jiang, Zhuo Ma, et al.. (2025). FedWiper: Federated Unlearning via Universal Adapter. IEEE Transactions on Information Forensics and Security. 20. 4042–4054. 1 indexed citations
3.
Gao, Sheng, et al.. (2025). BPMN-LLM: Transforming BPMN Models Into Smart Contracts Using Large Language Models. IEEE Software. 42(4). 50–57.
4.
Dong, Xuewen, et al.. (2024). Location Privacy Preservation Crowdsensing With Federated Reinforcement Learning. IEEE Transactions on Dependable and Secure Computing. 22(3). 1877–1894. 4 indexed citations
5.
Xiong, Zehui, et al.. (2023). A Privacy-preserving Auction Mechanism for Learning Model as an NFT in Blockchain-driven Metaverse. ACM Transactions on Multimedia Computing Communications and Applications. 20(7). 1–24. 8 indexed citations
6.
Li, Zhaoxuan, Rui Zhang, Ziming Zhao, et al.. (2023). VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning. IEEE Transactions on Software Engineering. 49(11). 4886–4916. 10 indexed citations
7.
Gao, Sheng, et al.. (2023). VCD-FL: Verifiable, Collusion-Resistant, and Dynamic Federated Learning. IEEE Transactions on Information Forensics and Security. 18. 3760–3773. 13 indexed citations
8.
Gao, Sheng, et al.. (2022). BPMS: Blockchain-Based Privacy-Preserving Multi-Keyword Search in Multi-Owner Setting. IEEE Transactions on Cloud Computing. 11(3). 2260–2272. 14 indexed citations
9.
Li, Shuaibing, et al.. (2022). Terahertz-Based Insulation Delamination Defect Inspection of Vehicle Cable Terminals. IEEE Transactions on Transportation Electrification. 9(1). 1765–1774. 32 indexed citations
10.
Su, Qianqian, et al.. (2022). Distributed Attribute-Based Signature With Attribute Dynamic Update for Smart Grid. IEEE Transactions on Industrial Informatics. 19(9). 9424–9435. 22 indexed citations
11.
Wang, Yong, et al.. (2021). A bidding model for virtual power plants to participate in demand response in the new power market environment. 2021 International Conference on Power System Technology (POWERCON). 875–882. 3 indexed citations
12.
Dong, Xuewen, et al.. (2021). Optimizing Task Location Privacy in Mobile Crowdsensing Systems. IEEE Transactions on Industrial Informatics. 18(4). 2762–2772. 25 indexed citations
13.
Ma, Xindi, Baopu Li, Qi Jiang, et al.. (2021). NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack. IEEE Internet of Things Journal. 9(9). 6778–6789. 10 indexed citations
14.
Gao, Sheng, et al.. (2021). A Privacy-Preserving Identity Authentication Scheme Based on the Blockchain. Security and Communication Networks. 2021. 1–10. 18 indexed citations
15.
Gao, Sheng, Xiuhua Chen, Jianming Zhu, Xuewen Dong, & Jianfeng Ma. (2021). TrustWorker: A Trustworthy and Privacy-Preserving Worker Selection Scheme for Blockchain-Based Crowdsensing. IEEE Transactions on Services Computing. 15(6). 3577–3590. 32 indexed citations
16.
Dong, Xuewen, et al.. (2020). A Truthful Online Incentive Mechanism for Nondeterministic Spectrum Allocation. IEEE Transactions on Wireless Communications. 19(7). 4632–4642. 5 indexed citations
17.
Gao, Sheng, et al.. (2019). Permissioned Blockchain-Based Double-Layer Framework for Product Traceability System. IEEE Access. 8. 6209–6225. 45 indexed citations
18.
Gao, Sheng. (2007). A System Design of Distribution Centers Utilizing RFID Technology. Industrial Engineering and Management.
19.
Kwok, Sai Ho & Sheng Gao. (2005). Attitude towards Knowledge Sharing Behavior. Journal of Computer Information Systems. 46(2). 45–51. 133 indexed citations
20.
Kwok, Sai Ho & Sheng Gao. (2003). Knowledge Sharing Community in P2P Network and its Application Features: A Study of Motivation Perspective. Journal of the Association for Information Systems. 104. 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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