Jiangang Shu

2.8k total citations · 2 hit papers
41 papers, 2.1k citations indexed

About

Jiangang Shu is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Jiangang Shu has authored 41 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 14 papers in Information Systems and 8 papers in Computer Science Applications. Recurrent topics in Jiangang Shu's work include Privacy-Preserving Technologies in Data (28 papers), Cryptography and Data Security (24 papers) and Cloud Data Security Solutions (11 papers). Jiangang Shu is often cited by papers focused on Privacy-Preserving Technologies in Data (28 papers), Cryptography and Data Security (24 papers) and Cloud Data Security Solutions (11 papers). Jiangang Shu collaborates with scholars based in China, Hong Kong and United States. Jiangang Shu's co-authors include Zhangjie Fu, Xingming Sun, Xiaohua Jia, Lu Zhou, Kui Ren, Qi Liu, Kan Yang, Weizhe Zhang, Robert H. Deng and Hua Wang and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Jiangang Shu

40 papers receiving 2.1k citations

Hit Papers

Enabling Personalized Sea... 2015 2026 2018 2022 2015 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangang Shu China 21 1.4k 873 623 280 275 41 2.1k
Hui Zhu China 25 1.5k 1.1× 680 0.8× 450 0.7× 287 1.0× 232 0.8× 138 2.1k
Jinbo Xiong China 25 1.5k 1.1× 898 1.0× 607 1.0× 254 0.9× 233 0.8× 129 2.2k
Hongyang Yan China 22 914 0.7× 739 0.8× 495 0.8× 166 0.6× 309 1.1× 62 1.6k
Chunqiang Hu China 24 1.0k 0.8× 942 1.1× 1.1k 1.7× 398 1.4× 259 0.9× 113 2.2k
Kaitai Liang China 29 2.3k 1.7× 1.9k 2.2× 774 1.2× 332 1.2× 362 1.3× 106 3.1k
Dongxiao Yu China 27 838 0.6× 518 0.6× 1.5k 2.3× 712 2.5× 355 1.3× 230 2.7k
Yinbin Miao China 33 2.9k 2.1× 1.6k 1.8× 738 1.2× 259 0.9× 609 2.2× 166 3.6k
Shaohua Tang China 28 1.3k 1.0× 860 1.0× 444 0.7× 237 0.8× 568 2.1× 95 2.4k
Jun Shao China 31 2.6k 2.0× 1.6k 1.9× 935 1.5× 564 2.0× 301 1.1× 130 3.5k
Anjia Yang China 16 749 0.6× 828 0.9× 386 0.6× 252 0.9× 141 0.5× 63 1.3k

Countries citing papers authored by Jiangang Shu

Since Specialization
Citations

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

Fields of papers citing papers by Jiangang Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangang Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangang Shu. A scholar is included among the top collaborators of Jiangang Shu 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 Jiangang Shu. Jiangang Shu 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.
Zhou, Hongliang, Yifeng Zheng, Hejiao Huang, Jiangang Shu, & Xiaohua Jia. (2023). Toward Robust Hierarchical Federated Learning in Internet of Vehicles. IEEE Transactions on Intelligent Transportation Systems. 24(5). 5600–5614. 45 indexed citations
2.
Min, Minghui, et al.. (2023). Geo-Perturbation for Task Allocation in 3-D Mobile Crowdsourcing: An A3C-Based Approach. IEEE Internet of Things Journal. 11(2). 1854–1865. 6 indexed citations
3.
Shu, Jiangang, et al.. (2022). Breaking Distributed Backdoor Defenses for Federated Learning in Non-IID Settings. 32. 347–354. 2 indexed citations
4.
Liu, Ximeng, et al.. (2022). SecMPNN: 3-Party Privacy-Preserving Molecular Structure Properties Inference. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3004–3008. 1 indexed citations
5.
Shu, Jiangang, et al.. (2022). Clustered Federated Multitask Learning on Non-IID Data With Enhanced Privacy. IEEE Internet of Things Journal. 10(4). 3453–3467. 27 indexed citations
6.
Shu, Jiangang, et al.. (2021). FLAS: Computation and Communication Efficient Federated Learning via Adaptive Sampling. IEEE Transactions on Network Science and Engineering. 9(4). 2003–2014. 20 indexed citations
7.
Shu, Jiangang, et al.. (2021). Blockchain-Based Decentralized Public Auditing for Cloud Storage. IEEE Transactions on Cloud Computing. 10(4). 2366–2380. 51 indexed citations
8.
Shi, Lu, Jiangang Shu, Weizhe Zhang, & Yang Liu. (2021). HFL-DP: Hierarchical Federated Learning with Differential Privacy. 2021 IEEE Global Communications Conference (GLOBECOM). 1–7. 26 indexed citations
9.
Shu, Jiangang, Lei Zhou, Weizhe Zhang, Xiaojiang Du, & Mohsen Guizani. (2020). Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach. IEEE Transactions on Intelligent Transportation Systems. 22(7). 4519–4530. 127 indexed citations
10.
Shu, Jiangang, et al.. (2020). Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. IEEE Transactions on Intelligent Transportation Systems. 23(5). 4049–4062. 13 indexed citations
11.
Yu, Haining, Xiaohua Jia, Hongli Zhang, & Jiangang Shu. (2020). Efficient and Privacy-Preserving Ride Matching Using Exact Road Distance in Online Ride Hailing Services. IEEE Transactions on Services Computing. 15(4). 1841–1854. 21 indexed citations
12.
Zhou, Lei, Jiangang Shu, & Xiaohua Jia. (2020). Collaborative Anomaly Detection in Distributed SDN. 1–6. 10 indexed citations
13.
Shu, Jiangang, Kan Yang, Xiaohua Jia, et al.. (2018). Proxy-Free Privacy-Preserving Task Matching with Efficient Revocation in Crowdsourcing. IEEE Transactions on Dependable and Secure Computing. 18(1). 117–130. 55 indexed citations
14.
Zhang, Yinghui, Robert H. Deng, Jiangang Shu, Kan Yang, & Dong Zheng. (2018). TKSE: Trustworthy Keyword Search Over Encrypted Data With Two-Side Verifiability via Blockchain. IEEE Access. 6. 31077–31087. 79 indexed citations
15.
Shu, Jiangang, Xiaohua Jia, Kan Yang, & Hua Wang. (2018). Privacy-Preserving Task Recommendation Services for Crowdsourcing. IEEE Transactions on Services Computing. 1–1. 129 indexed citations
16.
Shu, Jiangang, Ximeng Liu, Yinghui Zhang, Xiaohua Jia, & Robert H. Deng. (2018). Dual-side privacy-preserving task matching for spatial crowdsourcing. Journal of Network and Computer Applications. 123. 101–111. 13 indexed citations
17.
Zhang, Yinghui, Jiangang Shu, Ximeng Liu, Jin Li, & Dong Zheng. (2018). Comments on “A Large-Scale Concurrent Data Anonymous Batch Verification Scheme for Mobile Healthcare Crowd Sensing”. IEEE Internet of Things Journal. 6(1). 1287–1290. 15 indexed citations
18.
Fu, Zhangjie, Jiangang Shu, Jin Wang, Yuling Liu, & Sung‐Young Lee. (2015). Privacy-Preserving Smart Similarity Search Based on Simhash over Encrypted Data in Cloud Computing. 網際網路技術學刊. 16(3). 453–460. 34 indexed citations
19.
Fu, Zhangjie, et al.. (2015). Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement. IEEE Transactions on Parallel and Distributed Systems. 27(9). 2546–2559. 531 indexed citations breakdown →
20.
Fu, Zhangjie, Xingming Sun, Qi Liu, Lu Zhou, & Jiangang Shu. (2015). Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing. IEICE Transactions on Communications. E98.B(1). 190–200. 526 indexed citations breakdown →

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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