Long Shi

2.7k total citations · 2 hit papers
110 papers, 1.7k citations indexed

About

Long Shi is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Long Shi has authored 110 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 53 papers in Electrical and Electronic Engineering and 34 papers in Artificial Intelligence. Recurrent topics in Long Shi's work include Blockchain Technology Applications and Security (24 papers), IoT and Edge/Fog Computing (23 papers) and Cooperative Communication and Network Coding (21 papers). Long Shi is often cited by papers focused on Blockchain Technology Applications and Security (24 papers), IoT and Edge/Fog Computing (23 papers) and Cooperative Communication and Network Coding (21 papers). Long Shi collaborates with scholars based in China, Australia and Singapore. Long Shi's co-authors include Jun Li, Ming Ding, Feng Shu, Jun Li, Zhu Han, Chuan Ma, H. Vincent Poor, Kui Cai, Taotao Wang and Qian Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Communications Surveys & Tutorials.

In The Last Decade

Long Shi

96 papers receiving 1.7k citations

Hit Papers

Path Planning for UAV-Mounted Mobile Edge Computing With ... 2020 2026 2022 2024 2020 2021 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
Long Shi China 22 947 662 511 378 370 110 1.7k
Xiang Sun United States 25 1.2k 1.3× 902 1.4× 401 0.8× 519 1.4× 401 1.1× 93 2.1k
Fan Wu China 20 808 0.9× 783 1.2× 252 0.5× 286 0.8× 203 0.5× 133 1.7k
Shuai Yu China 20 977 1.0× 566 0.9× 587 1.1× 246 0.7× 265 0.7× 36 1.7k
Jinke Ren China 16 1.4k 1.5× 840 1.3× 520 1.0× 363 1.0× 190 0.5× 38 1.9k
Pengbo Si China 20 1.4k 1.4× 678 1.0× 282 0.6× 768 2.0× 162 0.4× 117 1.8k
Yong Xiao China 24 1.4k 1.5× 1.2k 1.9× 355 0.7× 378 1.0× 153 0.4× 94 2.2k
Xiao Ma China 20 1.3k 1.4× 586 0.9× 246 0.5× 584 1.5× 196 0.5× 89 1.8k
Haitao Xu China 18 919 1.0× 709 1.1× 205 0.4× 288 0.8× 534 1.4× 114 1.6k
Nguyen Cong Luong Singapore 10 1.1k 1.2× 906 1.4× 398 0.8× 315 0.8× 279 0.8× 13 1.8k
Du Xu China 14 1.3k 1.4× 819 1.2× 471 0.9× 755 2.0× 115 0.3× 59 1.8k

Countries citing papers authored by Long Shi

Since Specialization
Citations

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

Fields of papers citing papers by Long Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Long Shi. A scholar is included among the top collaborators of Long Shi 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 Long Shi. Long Shi 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.
Shi, Long, et al.. (2025). Iterative knowledge distillation and pruning for model compression in unsupervised domain adaptation. Pattern Recognition. 164. 111512–111512. 2 indexed citations
2.
Shi, Long, Zhe Wang, Jun Li, et al.. (2025). SpectrumBC: A Blockchain-Aided Cooperative Spectrum Sensing Framework. IEEE Transactions on Cognitive Communications and Networking. 11(6). 3926–3938. 1 indexed citations
3.
Cao, Bin, S. Xiao, Long Shi, et al.. (2025). Web 3.0: A Survey on the Architectures, Enabling Technologies, Applications, and Challenges. IEEE Communications Surveys & Tutorials. 28. 841–881. 2 indexed citations
4.
Qian, Yuwen, et al.. (2024). A blockchain-assisted lightweight UAV network authentication mechanism via covert communication. Chinese Journal of Aeronautics. 38(10). 103188–103188. 1 indexed citations
5.
Shu, Feng, et al.. (2024). Beamforming and Phase Shift Design for HR-IRS-Aided Directional Modulation Network With a Malicious Attacker. IEEE Transactions on Wireless Communications. 23(8). 9016–9032. 6 indexed citations
6.
Zhu, Wenxuan, Long Shi, Jun Li, et al.. (2024). Trustworthy Blockchain-Assisted Federated Learning: Decentralized Reputation Management and Performance Optimization. IEEE Internet of Things Journal. 12(3). 2890–2905. 12 indexed citations
7.
Wang, Taotao, et al.. (2024). Decentralized Physical Infrastructure Networks (DePIN): Challenges and Opportunities. IEEE Network. 39(2). 91–99. 6 indexed citations
8.
Qian, Yuwen, et al.. (2023). On Joint Optimization of Trajectory and Phase Shift for IRS-UAV Assisted Covert Communication Systems. IEEE Transactions on Vehicular Technology. 72(10). 12873–12883. 21 indexed citations
9.
Li, Jun, Chuan Ma, Kang Wei, et al.. (2022). Blockchain Assisted Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Client Scheduling. IEEE Transactions on Wireless Communications. 22(5). 3537–3553. 38 indexed citations
10.
Li, Jun, Kang Wei, Ming Ding, et al.. (2021). Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation. IEEE Transactions on Parallel and Distributed Systems. 33(10). 2401–2415. 164 indexed citations breakdown →
11.
Li, Jun, et al.. (2020). Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing. IEEE Open Journal of Vehicular Technology. 1. 215–226. 44 indexed citations
12.
Qian, Yuwen, et al.. (2020). Cache-Enabled Power Line Communication Networks: Caching Node Selection and Backhaul Energy Optimization. IEEE Transactions on Green Communications and Networking. 4(2). 606–615. 4 indexed citations
13.
Li, Jun, et al.. (2020). Wireless Powered Mobile Edge Computing: Dynamic Resource Allocation and Throughput Maximization. IEEE Transactions on Mobile Computing. 21(6). 2271–2288. 57 indexed citations
14.
Lin, Yan, et al.. (2020). Distributed Vehicle Tracking in Wireless Sensor Network: A Fully Decentralized Multiagent Reinforcement Learning Approach. IEEE Sensors Letters. 5(1). 1–4. 22 indexed citations
15.
Qian, Yuwen, Feifei Wang, Jun Li, et al.. (2019). User Association and Path Planning for UAV-Aided Mobile Edge Computing With Energy Restriction. IEEE Wireless Communications Letters. 8(5). 1312–1315. 81 indexed citations
16.
Li, Jun, Ming Ding, Long Shi, et al.. (2019). Probabilistic Caching for Small-Cell Networks With Terrestrial and Aerial Users. IEEE Transactions on Vehicular Technology. 68(9). 9162–9177. 23 indexed citations
17.
Chen, Pingping, et al.. (2019). Polar-Coded Physical Layer Network Coding Over Two-Way Relay Channels. IEEE Communications Letters. 23(8). 1301–1305. 12 indexed citations
18.
Chen, Pingping, et al.. (2018). An Improved Network-Coded Multiple Access for Power-Balanced Non-Orthogonal Multiple Access. IEEE Access. 6. 74180–74189. 3 indexed citations
19.
Chen, Pingping, Long Shi, Yi Fang, et al.. (2018). A Coded DCSK Modulation System Over Rayleigh Fading Channels. IEEE Transactions on Communications. 66(9). 3930–3942. 43 indexed citations
20.
Chen, Pingping, Long Shi, Soung Chang Liew, Yi Fang, & Kui Cai. (2018). Channel Decoding for Nonbinary Physical-Layer Network Coding in Two-Way Relay Systems. IEEE Transactions on Vehicular Technology. 68(1). 628–640. 15 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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