Ling Shi

13.8k total citations · 9 hit papers
350 papers, 10.2k citations indexed

About

Ling Shi is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Ling Shi has authored 350 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 232 papers in Computer Networks and Communications, 182 papers in Control and Systems Engineering and 98 papers in Artificial Intelligence. Recurrent topics in Ling Shi's work include Distributed Sensor Networks and Detection Algorithms (118 papers), Stability and Control of Uncertain Systems (93 papers) and Target Tracking and Data Fusion in Sensor Networks (67 papers). Ling Shi is often cited by papers focused on Distributed Sensor Networks and Detection Algorithms (118 papers), Stability and Control of Uncertain Systems (93 papers) and Target Tracking and Data Fusion in Sensor Networks (67 papers). Ling Shi collaborates with scholars based in Hong Kong, China and Sweden. Ling Shi's co-authors include Peng Cheng, Jiming Chen, Dawei Shi, Karl Henrik Johansson, Yuzhe Li, Daniel E. Quevedo, Heng Zhang, Subhrakanti Dey, Ziyang Guo and Tongwen Chen and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ling Shi

321 papers receiving 10.0k citations

Hit Papers

Optimal Denial-of-Service Attack Scheduling With Energy C... 2012 2026 2016 2021 2015 2015 2016 2012 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Shi Hong Kong 52 7.3k 6.7k 2.6k 1.8k 561 350 10.2k
Bruno Sinopoli United States 44 7.1k 1.0× 7.9k 1.2× 3.0k 1.1× 2.7k 1.5× 834 1.5× 198 12.4k
Derui Ding China 56 7.3k 1.0× 8.2k 1.2× 2.6k 1.0× 1.9k 1.0× 290 0.5× 237 11.8k
Xiaohua Ge Australia 55 8.8k 1.2× 9.4k 1.4× 1.8k 0.7× 2.7k 1.5× 366 0.7× 169 13.5k
Henrik Sandberg Sweden 39 3.8k 0.5× 6.3k 0.9× 1.8k 0.7× 2.8k 1.5× 592 1.1× 258 8.5k
Yilin Mo United States 31 3.8k 0.5× 4.9k 0.7× 1.9k 0.7× 1.5k 0.8× 590 1.1× 122 6.2k
Li Yu China 60 5.9k 0.8× 8.2k 1.2× 2.2k 0.8× 1.9k 1.0× 164 0.3× 464 11.6k
Peng Ning United States 34 4.5k 0.6× 2.6k 0.4× 1.7k 0.6× 2.4k 1.3× 717 1.3× 75 6.6k
Krishna R. Pattipati United States 47 2.1k 0.3× 3.4k 0.5× 2.5k 0.9× 2.6k 1.4× 410 0.7× 453 9.0k
Xian‐Ming Zhang Australia 60 10.2k 1.4× 11.0k 1.6× 1.9k 0.7× 2.9k 1.6× 226 0.4× 196 15.4k
Yu‐Chu Tian Australia 42 3.3k 0.5× 3.0k 0.4× 811 0.3× 1.5k 0.8× 1.2k 2.1× 233 6.3k

Countries citing papers authored by Ling Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ling Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Shi. A scholar is included among the top collaborators of Ling 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 Ling Shi. Ling 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.
Zhang, Wen‐An, et al.. (2025). Learning to estimate probabilistic attitude via matrix Fisher distribution with inertial sensor. Information Fusion. 119. 103001–103001.
2.
Ren, Meng, et al.. (2025). Containment Control of Multirobot Systems With Nonuniform Time-Varying Delays. IEEE Transactions on Robotics. 41. 1657–1672.
3.
Wang, Zikai, et al.. (2024). APF-CPP: An Artificial Potential Field Based Multi-Robot Online Coverage Path Planning Approach. IEEE Robotics and Automation Letters. 9(11). 9199–9206. 10 indexed citations
4.
Wang, Pengyu, et al.. (2024). Direct Shooting Method for Numerical Optimal Control: A Modified Transcription Approach. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3150–3155. 1 indexed citations
5.
Li, Yuzhe, et al.. (2024). Sparsity Promoting Observer Design for Wireless Sensor-Estimator Networks. IEEE Transactions on Automatic Control. 70(2). 1184–1191.
6.
Huang, Lingying, et al.. (2024). Event-Triggered Multi-Sensor Scheduling for Remote State Estimation Over Packet-Dropping Networks. IEEE Transactions on Signal Processing. 72. 5036–5047. 3 indexed citations
7.
Zhang, Wen‐An, et al.. (2024). Gaussian Particle Filtering for Nonlinear Systems With Heavy-Tailed Noises: A Progressive Transform-Based Approach. IEEE Transactions on Cybernetics. 54(11). 6934–6942. 3 indexed citations
8.
Yang, Hui‐Wen, Lingying Huang, Yuzhe Li, Subhrakanti Dey, & Ling Shi. (2023). LQG Control Over SWIPT-enabled Wireless Communication Network. IFAC-PapersOnLine. 56(2). 3824–3829.
9.
Mu, Biqiang, et al.. (2023). Consistent and Asymptotically Efficient Localization From Range- Difference Measurements. IEEE Transactions on Information Theory. 70(4). 3032–3045. 5 indexed citations
10.
Blauvelt, Andrew, et al.. (2023). LB1703 High induction dosing of risankizumab in patients with moderate-to-severe plaque psoriasis: Interim results from the phase 2 KNOCKOUT study. Journal of Investigative Dermatology. 143(9). B16–B16. 3 indexed citations
11.
Wang, Yihui, Jizheng Wang, Ling Shi, et al.. (2023). CIB2 Is a Novel Endogenous Repressor of Atrial Remodeling. Circulation. 147(23). 1758–1776. 8 indexed citations
12.
Shi, Dawei, et al.. (2022). Towards Event-Based State Estimation for Neuromorphic Event Cameras. IEEE Transactions on Automatic Control. 1–8. 2 indexed citations
14.
Shi, Ling, et al.. (2022). Stochastic Event-Triggered Algorithm for Distributed Convex Optimization. IEEE Transactions on Control of Network Systems. 10(3). 1374–1386. 2 indexed citations
15.
Wu, Junfeng, et al.. (2021). Multi-Party Dynamic State Estimation That Preserves Data and Model Privacy. IEEE Transactions on Information Forensics and Security. 16. 2288–2299. 18 indexed citations
16.
Guo, Ziyang, Dawei Shi, Daniel E. Quevedo, & Ling Shi. (2018). Secure State Estimation Against Integrity Attacks: A Gaussian Mixture Model Approach. IEEE Transactions on Signal Processing. 67(1). 194–207. 58 indexed citations
17.
Shi, Dawei, Ziyang Guo, Karl Henrik Johansson, & Ling Shi. (2017). Causality Countermeasures for Anomaly Detection in Cyber-Physical Systems. IEEE Transactions on Automatic Control. 63(2). 386–401. 54 indexed citations
18.
Shi, Ling, et al.. (2012). Minimizing total completion time in a two-machine flow-shop scheduling problems with a single server. Journal of Mathematical and Computational Science. 2(3). 435–440. 1 indexed citations
19.
Zheng, Jianying, Wei Chen, Ling Shi, & Li Qiu. (2012). Linear quadratic optimal control for discrete-time LTI systems with random input gains. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5803–5808. 9 indexed citations
20.
Zhao, Min & Ling Shi. (2009). The Analysis and Amendment of Security System in 3G. Intelligent Information Management. 1(1). 1–5. 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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