James Lam

48.0k total citations · 20 hit papers
749 papers, 38.7k citations indexed

About

James Lam is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, James Lam has authored 749 papers receiving a total of 38.7k indexed citations (citations by other indexed papers that have themselves been cited), including 563 papers in Control and Systems Engineering, 226 papers in Computer Networks and Communications and 154 papers in Computational Theory and Mathematics. Recurrent topics in James Lam's work include Stability and Control of Uncertain Systems (456 papers), Neural Networks Stability and Synchronization (185 papers) and Control Systems and Identification (163 papers). James Lam is often cited by papers focused on Stability and Control of Uncertain Systems (456 papers), Neural Networks Stability and Synchronization (185 papers) and Control Systems and Identification (163 papers). James Lam collaborates with scholars based in Hong Kong, China and United Kingdom. James Lam's co-authors include Shengyuan Xu, Huijun Gao, Junlin Xiong, Daniel W. C. Ho, Zhan Shu, Jun Shen, Tongwen Chen, Yun Zou, Changhong Wang and Zhiguang Feng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Automatic Control.

In The Last Decade

James Lam

726 papers receiving 37.7k citations

Hit Papers

A new delay system approa... 1998 2026 2007 2016 2007 2005 2002 2006 2007 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
James Lam 29.7k 18.6k 5.8k 4.2k 4.0k 749 38.7k
Qing‐Long Han 34.4k 1.2× 31.4k 1.7× 4.7k 0.8× 2.8k 0.7× 6.2k 1.6× 723 50.3k
Laurent El Ghaoui 18.1k 0.6× 7.2k 0.4× 4.1k 0.7× 1.8k 0.4× 3.5k 0.9× 157 30.1k
Gang Feng 21.8k 0.7× 16.9k 0.9× 3.9k 0.7× 2.6k 0.6× 5.6k 1.4× 843 32.5k
Peng Shi 59.6k 2.0× 32.7k 1.8× 9.7k 1.7× 5.2k 1.3× 9.5k 2.4× 1.5k 74.6k
Miroslav Krstić 39.6k 1.3× 7.9k 0.4× 9.2k 1.6× 4.0k 1.0× 1.6k 0.4× 936 46.1k
Ju H. Park 24.1k 0.8× 26.7k 1.4× 4.5k 0.8× 8.2k 2.0× 5.6k 1.4× 1.1k 39.5k
Shuzhi Sam Ge 36.7k 1.2× 9.9k 0.5× 9.7k 1.7× 1.9k 0.4× 5.2k 1.3× 1000 46.9k
Guang‐Hong Yang 26.5k 0.9× 13.8k 0.7× 4.9k 0.9× 1.3k 0.3× 3.7k 0.9× 940 31.7k
Lihua Xie 20.8k 0.7× 17.6k 0.9× 2.9k 0.5× 1.1k 0.3× 5.9k 1.5× 1.1k 40.8k
V. Balakrishnan 16.3k 0.5× 5.3k 0.3× 2.9k 0.5× 1.9k 0.5× 2.0k 0.5× 161 21.7k

Countries citing papers authored by James Lam

Since Specialization
Citations

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

Fields of papers citing papers by James Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Lam

This figure shows the co-authorship network connecting the top 25 collaborators of James Lam. A scholar is included among the top collaborators of James Lam 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 James Lam. James Lam 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.
Lin, Lin, et al.. (2025). Connectivity Determination Algorithm for Complex Directed Networks. IEEE Transactions on Network Science and Engineering. 12(4). 2512–2523. 1 indexed citations
2.
Cai, Chenxiao, et al.. (2024). A Gramian matrix approach to synthesizing finite-frequency H2 controller. Applied Mathematics and Computation. 481. 128924–128924. 2 indexed citations
3.
Lin, Hong, et al.. (2024). Differentially private consensus and distributed optimization in multi-agent systems: A review. Neurocomputing. 597. 127986–127986. 6 indexed citations
4.
Ogura, Masaki, et al.. (2024). Probability rate optimization of positive Markov jump linear systems via DC programming. Asian Journal of Control. 26(5). 2242–2249.
5.
Chen, Xiaojiao, et al.. (2024). Spatial Position–Force Perception for a Soft Parallel Joint via Pressure-Deformation Self-Sensing. IEEE/ASME Transactions on Mechatronics. 29(5). 3590–3601. 3 indexed citations
6.
Lin, Lin, James Lam, Peng Shi, Michael K. Ng, & Hak‐Keung Lam. (2024). Learning Probabilistic Logical Control Networks: From Data to Controllability and Observability. IEEE Transactions on Automatic Control. 70(6). 3889–3904. 1 indexed citations
7.
Dai, Quanyu, Xiao Shen, Xiaochen Xie, et al.. (2024). Semi-supervised domain adaptation on graphs with contrastive learning and minimax entropy. Neurocomputing. 580. 127469–127469. 5 indexed citations
8.
Ogura, Masaki, et al.. (2023). Parameterized Synthesis of Discrete-Time Positive Linear Systems: A Geometric Programming Perspective. IEEE Control Systems Letters. 7. 2551–2556.
9.
Wen, Guanghui, et al.. (2023). Distributed MPC-Based Robust Collision Avoidance Formation Navigation of Constrained Multiple USVs. IEEE Transactions on Intelligent Vehicles. 9(1). 1804–1816. 48 indexed citations
10.
Dai, Jing, Xiaomei Wang, Mengjie Wu, et al.. (2023). Learning-Based Efficient Phase- Amplitude Modulation and Hybrid Control for MRI-Guided Focused Ultrasound Treatment. IEEE Robotics and Automation Letters. 9(2). 995–1002. 1 indexed citations
11.
Chen, Xiaojiao, et al.. (2022). Kinematic Analysis of Soft Continuum Manipulators Based on Sparse Workspace Mapping. IEEE Robotics and Automation Letters. 7(2). 5055–5062. 9 indexed citations
12.
Kazemy, Ali, Jinrong Liu, & James Lam. (2022). Multi‐loop networked control system design subject to interchange attack. Asian Journal of Control. 25(3). 1706–1714. 4 indexed citations
13.
Liu, Jason J. R., et al.. (2021). Nonnegative Consensus Tracking of Networked Systems With Convergence Rate Optimization. IEEE Transactions on Neural Networks and Learning Systems. 33(12). 7534–7544. 11 indexed citations
14.
Lam, James, et al.. (2020). Compliant Control and Compensation for A Compact Cable-Driven Robotic Manipulator. IEEE Robotics and Automation Letters. 5(4). 5417–5424. 17 indexed citations
15.
Kazemy, Ali, James Lam, & Chang Zhao. (2020). Adaptive event-triggered mechanism for networked control systems under deception attacks with uncertain occurring probability. International Journal of Systems Science. 52(7). 1426–1439. 33 indexed citations
16.
Kazemy, Ali, James Lam, & Xian‐Ming Zhang. (2020). Event-Triggered Output Feedback Synchronization of Master–Slave Neural Networks Under Deception Attacks. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 952–961. 154 indexed citations
17.
Liu, Jason J. R., James Lam, & Zhan Shu. (2019). Positivity-Preserving Consensus of Homogeneous Multiagent Systems. IEEE Transactions on Automatic Control. 65(6). 2724–2729. 56 indexed citations
18.
Lin, Hong, James Lam, Michael Z. Q. Chen, Zhan Shu, & Zheng‐Guang Wu. (2018). Interacting Multiple Model Estimator for Networked Control Systems: Stability, Convergence, and Performance. IEEE Transactions on Automatic Control. 64(3). 928–943. 44 indexed citations
19.
Song, Jun, Yugang Niu, James Lam, & Zhan Shu. (2018). A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems. IEEE Transactions on Automatic Control. 63(5). 1404–1417. 80 indexed citations
20.
Gałkowski, Krzysztof, et al.. (2010). A new approach to strong practical stability and stabilization of discrete linear repetitive processes. SPIRE - Sciences Po Institutional REpository. 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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