Linshan Jiang

1.2k total citations · 1 hit paper
29 papers, 673 citations indexed

About

Linshan Jiang is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Linshan Jiang has authored 29 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Linshan Jiang's work include Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (6 papers) and IoT Networks and Protocols (4 papers). Linshan Jiang is often cited by papers focused on Privacy-Preserving Technologies in Data (11 papers), Cryptography and Data Security (6 papers) and IoT Networks and Protocols (4 papers). Linshan Jiang collaborates with scholars based in Singapore, China and United States. Linshan Jiang's co-authors include Rui Tan, Jun Zhao, Dusit Niyato, Yang Zhao, Zengxiang Li, Lingjuan Lyu, Yingbo Liu, Chaojie Gu, Salabat Khan and Xin Lou and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Internet of Things Journal and Talanta.

In The Last Decade

Linshan Jiang

23 papers receiving 655 citations

Hit Papers

Privacy-Preserving Blockchain-Based Federated Learning fo... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices
    2020 410 citations Yang Zhao, Jun Zhao et al. IEEE Internet of Things Journal profile →

Peers

Linshan Jiang
Mengkai Song China
Pedro Miguel Sánchez Sánchez Spain
Alsharif Abuadbba Australia
Sin Kit Lo Australia
Wanli Wen China
Seyyedali Hosseinalipour United States
Hongyi Wu United States
Junqing Le China
Mengkai Song China
Linshan Jiang
Citations per year, relative to Linshan Jiang Linshan Jiang (= 1×) peers Mengkai Song

Countries citing papers authored by Linshan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Linshan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linshan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Linshan Jiang. A scholar is included among the top collaborators of Linshan 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 Linshan Jiang. Linshan 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.
2.
Zhang, Jiao, et al.. (2025). QoE-Optimized MultiPath Scheduling for Video Services in Large-Scale Peer-to-Peer CDNs. IEEE Journal on Selected Areas in Communications. 43(2). 563–576. 1 indexed citations
3.
Jiang, Linshan, et al.. (2024). Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey. IEEE Internet of Things Journal. 11(14). 24569–24580. 47 indexed citations
4.
Jiang, Linshan, et al.. (2024). Poster Abstract: Threshold Cryptography-based Authentication Protocol for Remote Healthcare. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 303–304. 2 indexed citations
5.
Jiang, Linshan, Moming Duan, Bingsheng He, et al.. (2024). OFL-W3: A One-Shot Federated Learning System on Web 3.0. Proceedings of the VLDB Endowment. 17(12). 4461–4464. 1 indexed citations
6.
Wang, Weizheng, et al.. (2024). LiteCrypt: Enhancing IoMT Security with Optimized HE and Lightweight Dual-Authorization. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 166–175. 4 indexed citations
7.
Jiang, Linshan, et al.. (2024). FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation. 81510–81548.
8.
9.
Zhao, Yang, Jun Zhao, Linshan Jiang, et al.. (2022). Correction to “Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices” [Feb 20 1817-1829]. IEEE Internet of Things Journal. 10(1). 973–973. 3 indexed citations
10.
11.
Gu, Chaojie, Linshan Jiang, Rui Tan, Mo Li, & Jun Huang. (2021). Attack-aware Synchronization-free Data Timestamping in LoRaWAN. ACM Transactions on Sensor Networks. 18(1). 1–31. 15 indexed citations
12.
Jiang, Linshan, Rui Tan, Xin Lou, & Guosheng Lin. (2021). On Lightweight Privacy-preserving Collaborative Learning for Internet of Things by Independent Random Projections. 2(2). 1–32. 9 indexed citations
13.
Zhao, Yang, Jun Zhao, Linshan Jiang, et al.. (2020). Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices. IEEE Internet of Things Journal. 8(3). 1817–1829. 410 indexed citations breakdown →
14.
Gu, Chaojie, Linshan Jiang, Rui Tan, Mo Li, & Jun Huang. (2020). Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 11 indexed citations
15.
Jiang, Linshan, Rui Tan, & Arvind Easwaran. (2020). Resilience Bounds of Network Clock Synchronization with Fault Correction. ACM Transactions on Sensor Networks. 16(4). 1–30. 5 indexed citations
16.
Jiang, Linshan, et al.. (2019). Lightweight and Unobtrusive Privacy Preservation for Remote Inference via Edge Data Obfuscation. arXiv (Cornell University). 1 indexed citations
17.
Jiang, Linshan, Xin Lou, Rui Tan, & Jun Zhao. (2019). Differentially Private Collaborative Learning for the IoT Edge. 341–346. 14 indexed citations
18.
Zhao, Yang, Jun Zhao, Linshan Jiang, Rui Tan, & Dusit Niyato. (2019). Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System.. arXiv (Cornell University). 62 indexed citations
19.
Gu, Chaojie, Linshan Jiang, & Rui Tan. (2019). LoRa-Based Localization: Opportunities and Challenges. arXiv (Cornell University). 413–418. 23 indexed citations
20.
Tan, Rui, Linshan Jiang, Arvind Easwaran, & Jothi Prasanna Shanmuga Sundaram. (2018). Resilience Bounds of Sensing-Based Network Clock Synchronization. DR-NTU (Nanyang Technological University). 36. 894–902. 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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