Shan Jiang

2.1k total citations · 3 hit papers
55 papers, 1.2k citations indexed

About

Shan Jiang is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Shan Jiang has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Networks and Communications, 23 papers in Information Systems and 19 papers in Artificial Intelligence. Recurrent topics in Shan Jiang's work include Blockchain Technology Applications and Security (19 papers), IoT and Edge/Fog Computing (10 papers) and Privacy-Preserving Technologies in Data (9 papers). Shan Jiang is often cited by papers focused on Blockchain Technology Applications and Security (19 papers), IoT and Edge/Fog Computing (10 papers) and Privacy-Preserving Technologies in Data (9 papers). Shan Jiang collaborates with scholars based in Hong Kong, China and Japan. Shan Jiang's co-authors include Jiannong Cao, Yanni Yang, Hanqing Wu, Xiulong Liu, Jianfei He, Mingyu Ma, Divya Saxena, Yuming Deng, Shoichi Masui and Fan Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Shan Jiang

43 papers receiving 1.2k citations

Hit Papers

BlocHIE: A BLOCkchain-Bas... 2018 2026 2020 2023 2018 2022 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shan Jiang Hong Kong 18 680 436 348 169 158 55 1.2k
B. D. Deebak India 21 679 1.0× 782 1.8× 362 1.0× 207 1.2× 113 0.7× 51 1.3k
Imran Makhdoom Australia 12 749 1.1× 617 1.4× 366 1.1× 149 0.9× 106 0.7× 24 1.3k
Geetanjali Rathee India 18 766 1.1× 693 1.6× 350 1.0× 255 1.5× 131 0.8× 99 1.3k
Venki Balasubramanian Australia 18 644 0.9× 675 1.5× 246 0.7× 229 1.4× 109 0.7× 58 1.3k
Tanweer Alam Saudi Arabia 21 595 0.9× 712 1.6× 269 0.8× 230 1.4× 93 0.6× 120 1.5k
Yanni Yang China 16 455 0.7× 335 0.8× 141 0.4× 317 1.9× 105 0.7× 39 1.0k
Parvaneh Asghari Iran 15 431 0.6× 691 1.6× 232 0.7× 227 1.3× 137 0.9× 39 1.3k
Pushpita Chatterjee United States 18 411 0.6× 473 1.1× 369 1.1× 210 1.2× 93 0.6× 67 1.1k
Kamanashis Biswas Australia 16 784 1.2× 658 1.5× 190 0.5× 181 1.1× 113 0.7× 40 1.3k
Kostas Kolomvatsos Greece 16 557 0.8× 547 1.3× 434 1.2× 134 0.8× 235 1.5× 106 1.4k

Countries citing papers authored by Shan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Shan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Jiang. A scholar is included among the top collaborators of Shan Jiang 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 Shan Jiang. Shan Jiang 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.
Deng, Senyi, et al.. (2025). Artificial intelligence models for periodontitis classification: A systematic review. Journal of Dentistry. 156. 105690–105690. 4 indexed citations
2.
Bu, Zimei, Yang Liu, Yi Ba, et al.. (2025). Chain-mediated effect of physical activity between Chinese language-based L2 motivational self-system and intended effort. Scientific Reports. 15(1). 3306–3306.
3.
Bu, Zimei, Shan Jiang, Tingting Sun, et al.. (2025). Brain basis for physical activity levels mediate beta Inhibition to improve cognitive function in elderly based on multimodality monitoring. Scientific Reports. 15(1). 17937–17937.
4.
Shen, Xiaoming, et al.. (2024). EdgeShard: Efficient LLM Inference via Collaborative Edge Computing. IEEE Internet of Things Journal. 12(10). 13119–13131. 46 indexed citations breakdown →
5.
Dong, Xiaosheng, et al.. (2024). Acute effects of different physical activity on executive function and regulation role of beta oscillation in sedentary youth frontal region. Scientific Reports. 14(1). 30939–30939. 1 indexed citations
6.
Wang, Yuqin, Jiannong Cao, Shan Jiang, et al.. (2024). Efficient and Atomic Cross-blockchain Transaction Processing for Decentralized Web3 Applications. 155–162.
7.
Wang, Siqi, et al.. (2024). Triangle Descriptor Loop Detection Method Based on Faster-LIO. SHILAP Revista de lepidopterología. XLVIII-4/W10-2024. 183–189.
8.
Zhang, Haoran, Shan Jiang, & Shichang Xuan. (2024). Decentralized federated learning based on blockchain: concepts, framework, and challenges. Computer Communications. 216. 140–150. 23 indexed citations
9.
Zhao, Lingjun, et al.. (2024). Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping. Computers & Security. 142. 103894–103894.
10.
He, Qian, et al.. (2024). A Lightweight Authentication and Privacy-Preserving Aggregation for Blockchain-Enabled Federated Learning in VANETs. IEEE Transactions on Consumer Electronics. 71(1). 1274–1287. 6 indexed citations
12.
Zhang, Rongxin, et al.. (2024). Examining the inner logic of students’ coding orientations and the internal structure of written language in math tests from Basil Bernstein's code theory. International Journal of Educational Research. 124. 102307–102307. 1 indexed citations
13.
Zhao, Lingjun, et al.. (2023). Intelligent wireless sensing driven metaverse: A survey. Computer Communications. 214. 46–56. 24 indexed citations
14.
Jiang, Shan, Jiannong Cao, Hanqing Wu, Kongyang Chen, & Xiulong Liu. (2023). Privacy-preserving and efficient data sharing for blockchain-based intelligent transportation systems. Information Sciences. 635. 72–85. 51 indexed citations
15.
Chen, Jinlin, et al.. (2023). Towards Efficient Distributed Collision Avoidance for Heterogeneous Mobile Robots. IEEE Transactions on Mobile Computing. 23(5). 3605–3619. 5 indexed citations
16.
Wu, Hanqing, Shan Jiang, & Jiannong Cao. (2023). High-Efficiency Blockchain-Based Supply Chain Traceability. IEEE Transactions on Intelligent Transportation Systems. 24(4). 3748–3758. 37 indexed citations
17.
Wu, Haitao, Heng Li, Xiaochun Luo, & Shan Jiang. (2023). Blockchain-Based Onsite Activity Management for Smart Construction Process Quality Traceability. IEEE Internet of Things Journal. 10(24). 21554–21565. 18 indexed citations
18.
Cao, Jiannong, et al.. (2022). Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions. ACM Computing Surveys. 55(11). 1–31. 158 indexed citations breakdown →
19.
Wang, Jia, Jiannong Cao, Miloš Stojmenović, et al.. (2019). Pattern-RL: Multi-robot Cooperative Pattern Formation via Deep Reinforcement Learning. 210–215. 12 indexed citations
20.
Wu, Hanqing, et al.. (2018). TSAR: A Fully-Distributed Trustless Data ShARing Platform. 350–355. 4 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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