Qingshan Liu

4.9k total citations · 1 hit paper
118 papers, 3.6k citations indexed

About

Qingshan Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Qingshan Liu has authored 118 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computer Networks and Communications, 39 papers in Artificial Intelligence and 35 papers in Control and Systems Engineering. Recurrent topics in Qingshan Liu's work include Distributed Control Multi-Agent Systems (50 papers), Neural Networks Stability and Synchronization (36 papers) and Neural Networks and Applications (26 papers). Qingshan Liu is often cited by papers focused on Distributed Control Multi-Agent Systems (50 papers), Neural Networks Stability and Synchronization (36 papers) and Neural Networks and Applications (26 papers). Qingshan Liu collaborates with scholars based in China, Hong Kong and Bangladesh. Qingshan Liu's co-authors include Jun Wang, Shaofu Yang, Jinde Cao, Zhishan Guo, Kaixuan Li, Tingwen Huang, Yiguang Hong, Zhigang Zeng, Yanling Zheng and Bingrong Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and IEEE Transactions on Automatic Control.

In The Last Decade

Qingshan Liu

102 papers receiving 3.6k citations

Hit Papers

A Second-Order Multi-Agent Network for Bound-Constrained ... 2015 2026 2018 2022 2015 50 100 150 200 250
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. A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization
    2015 297 citations Qingshan Liu, Jun Wang profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingshan Liu China 30 1.8k 1.1k 1.0k 717 431 118 3.6k
Minghui Zhu United States 24 1.9k 1.1× 764 0.7× 1.3k 1.3× 565 0.8× 202 0.5× 110 3.2k
Ruggero Carli Italy 29 2.5k 1.4× 619 0.5× 1.1k 1.1× 994 1.4× 149 0.3× 166 3.6k
Michael M. Zavlanos United States 32 2.8k 1.6× 591 0.5× 642 0.6× 452 0.6× 368 0.9× 125 3.8k
Usman A. Khan United States 26 2.0k 1.1× 1.0k 0.9× 696 0.7× 887 1.2× 116 0.3× 126 2.9k
Lei Zou China 38 2.8k 1.6× 1.3k 1.1× 3.3k 3.2× 774 1.1× 273 0.6× 138 5.1k
Randy A. Freeman United States 29 2.0k 1.1× 495 0.4× 2.5k 2.5× 457 0.6× 423 1.0× 84 4.4k
Iman Shames Australia 29 2.2k 1.2× 1.0k 0.9× 2.2k 2.2× 788 1.1× 153 0.4× 161 3.9k
Soummya Kar United States 42 4.1k 2.3× 1.9k 1.6× 2.4k 2.4× 2.9k 4.0× 267 0.6× 230 7.2k
Shuai Song China 36 1.4k 0.8× 753 0.7× 1.9k 1.9× 560 0.8× 320 0.7× 131 3.6k
Ziyang Meng China 29 3.9k 2.2× 369 0.3× 2.3k 2.3× 540 0.8× 398 0.9× 144 4.8k

Countries citing papers authored by Qingshan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Qingshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingshan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingshan Liu. A scholar is included among the top collaborators of Qingshan Liu 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 Qingshan Liu. Qingshan Liu 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
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Liu, Qingshan, et al.. (2025). A privacy-preserving resilient algorithm for multi-agent cooperative optimization to defend against both Byzantine and eavesdropping attacks. Expert Systems with Applications. 284. 127813–127813. 1 indexed citations
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Xu, Yifei, Qingshan Liu, Langyuan Wu, et al.. (2025). In Situ Regulation of Interfacial Charge Transfer and Interlayer Van der Waals Force Enables Ultrafast Aluminum-Ion Diffusion. Nano Letters. 25(37). 13730–13738.
5.
Yue, Yuanyuan & Qingshan Liu. (2025). A Unified Primal and Dual Consensus Algorithm With Predefined-Time Convergence for Time-Varying Optimization. IEEE Transactions on Systems Man and Cybernetics Systems. 55(9). 5988–5999.
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Xia, Youshen, Qingshan Liu, Jun Wang, & Andrzej Cichocki. (2024). A Survey of Neurodynamic Optimization. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(4). 2677–2696. 19 indexed citations
8.
Liu, Jia, et al.. (2024). Low‐frequency oscillation damping strategy for power system based on virtual dual‐input power system stabilizer. IET Renewable Power Generation. 18(S1). 4439–4452. 1 indexed citations
9.
Liu, Qingshan, et al.. (2024). Event-triggered secure consensus for second-order nonlinear multiagent systems against asynchronous DoS attacks. Journal of the Franklin Institute. 361(14). 107065–107065. 2 indexed citations
10.
Liu, Qingshan, et al.. (2023). A discrete-time distributed optimization algorithm for cooperative transportation of multi-robot system. Complex & Intelligent Systems. 10(1). 343–355. 8 indexed citations
11.
Liu, Qingshan, et al.. (2023). Secure synchronisation for multiple coupled complex networks with time-varying delays under DoS attacks. International Journal of Control. 97(11). 2526–2538. 1 indexed citations
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Liu, Qingshan, et al.. (2022). A review of proton exchange membrane fuel cell's bipolar plate design and fabrication process. Journal of Power Sources. 538. 231543–231543. 94 indexed citations
14.
Xie, Jiayue, et al.. (2021). Chemical and Electronic Modulation via Atomic Layer Deposition of NiO on Porous In2O3 Films to Boost NO2 Detection. ACS Applied Materials & Interfaces. 13(33). 39621–39632. 70 indexed citations
15.
Liu, Qingshan, et al.. (2021). Minimum spanning tree based graph neural network for emotion classification using EEG. Neural Networks. 145. 308–318. 42 indexed citations
16.
Yue, Dongdong, et al.. (2020). Neural-Network-Based Fully Distributed Adaptive Consensus for a Class of Uncertain Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems. 32(7). 2965–2977. 44 indexed citations
17.
Xu, Bingrong, Qingshan Liu, & Tingwen Huang. (2018). A Discrete-Time Projection Neural Network for Sparse Signal Reconstruction With Application to Face Recognition. IEEE Transactions on Neural Networks and Learning Systems. 30(1). 151–162. 41 indexed citations
18.
Wu, Yi, et al.. (2015). Object tracking based on the joint model using L2-norm minimization. Beijing Hangkong Hangtian Daxue xuebao. 41(3). 559.
19.
Zhao, Yan & Qingshan Liu. (2012). Generalized recurrent neural network for ϵ-insensitive support vector regression. Mathematics and Computers in Simulation. 86. 2–9. 4 indexed citations
20.
Liu, Qingshan & Jun Wang. (2008). A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. IEEE Transactions on Neural Networks. 19(4). 558–570. 193 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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