Feng Lin

10.1k total citations
336 papers, 7.0k citations indexed

About

Feng Lin is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Feng Lin has authored 336 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 180 papers in Computational Theory and Mathematics, 123 papers in Computer Networks and Communications and 77 papers in Control and Systems Engineering. Recurrent topics in Feng Lin's work include Petri Nets in System Modeling (175 papers), Formal Methods in Verification (128 papers) and Distributed systems and fault tolerance (91 papers). Feng Lin is often cited by papers focused on Petri Nets in System Modeling (175 papers), Formal Methods in Verification (128 papers) and Distributed systems and fault tolerance (91 papers). Feng Lin collaborates with scholars based in United States, China and Canada. Feng Lin's co-authors include Shaolong Shu, Stéphane Lafortune, Hao Ying, Robert Brandt, W.M. Wonham, Po‐Lin Chiu, Caisheng Wang, Michaël Heymann, Le Yi Wang and Weilin Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, Biochemical and Biophysical Research Communications and Automatica.

In The Last Decade

Feng Lin

306 papers receiving 6.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Lin United States 45 4.2k 2.3k 1.8k 1.2k 844 336 7.0k
Christos G. Cassandras United States 46 2.9k 0.7× 3.1k 1.4× 3.5k 1.9× 1.4k 1.2× 1.3k 1.5× 395 9.9k
Panos J. Antsaklis United States 59 4.1k 1.0× 4.9k 2.1× 10.8k 5.9× 1.3k 1.1× 1.0k 1.2× 408 16.5k
Demosthenis Teneketzis United States 34 2.8k 0.7× 1.9k 0.8× 1.4k 0.8× 785 0.7× 1.2k 1.4× 170 5.3k
Pascal Van Hentenryck United States 41 1.1k 0.3× 2.4k 1.0× 911 0.5× 1.7k 1.4× 1.8k 2.2× 301 8.2k
Toshihide Ibaraki Japan 40 2.1k 0.5× 1.7k 0.8× 439 0.2× 515 0.4× 1.9k 2.3× 266 5.9k
Maurício G. C. Resende United States 51 2.1k 0.5× 2.3k 1.0× 738 0.4× 1.4k 1.2× 6.0k 7.1× 182 11.0k
Egon Balas United States 42 2.2k 0.5× 1.9k 0.9× 1.3k 0.7× 512 0.4× 5.3k 6.2× 129 8.3k
S. L. Hakimi United States 33 1.7k 0.4× 2.5k 1.1× 451 0.2× 1.1k 0.9× 2.0k 2.4× 122 7.6k
Bengt Lennartson Sweden 35 1.1k 0.3× 533 0.2× 2.9k 1.6× 338 0.3× 1.4k 1.7× 313 5.8k
Xenofon Koutsoukos United States 37 659 0.2× 2.2k 1.0× 1.9k 1.0× 1.0k 0.9× 189 0.2× 291 5.4k

Countries citing papers authored by Feng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Lin. A scholar is included among the top collaborators of Feng Lin 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 Feng Lin. Feng Lin 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, Feng, et al.. (2024). Supervised Learning in Model Reference Adaptive Sliding Mode Control. International Journal of Control Automation and Systems. 22(6). 2007–2015.
2.
Ying, Hao & Feng Lin. (2024). Discrete-Time Finite Fuzzy Markov Chains Realized Through Supervised Learning Stochastic Fuzzy Discrete Event Systems. IEEE Transactions on Fuzzy Systems. 32(11). 6088–6100. 1 indexed citations
3.
Fan, Yuqi, et al.. (2023). Vulnerable smart contract function locating based on Multi-Relational Nested Graph Convolutional Network. Journal of Systems and Software. 204. 111775–111775. 9 indexed citations
4.
Liu, Yu, Shaolong Shu, & Feng Lin. (2023). Complex Event Recognition From Discrete Sensor Data With a Discrete Event System Framework. IFAC-PapersOnLine. 56(2). 11330–11336.
5.
Wang, Le Yi, George Yin, Feng Lin, Michael P. Polis, & Wen Chen. (2023). Mean-square convergent continuous state estimation of randomly switched linear systems with unobservable subsystems and stochastic output noises. Automatica. 156. 111181–111181. 4 indexed citations
6.
Shu, Shaolong, et al.. (2023). Modeling and Control of Discrete-Event Systems Under Joint Sensor–Actuator Cyberattacks. IEEE Transactions on Control of Network Systems. 11(2). 782–794. 10 indexed citations
7.
Lin, Feng, et al.. (2023). Supervisory control to maximize mean time to failure in discrete event systems. Discrete Event Dynamic Systems. 33(2). 105–127. 1 indexed citations
8.
Gao, Tao, Kai Zhang, Feng Lin, et al.. (2020). A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis. Information Sciences. 519. 273–288. 61 indexed citations
9.
Lin, Feng, et al.. (2019). State Estimation of Multichannel Networked Discrete Event Systems. IEEE Transactions on Control of Network Systems. 7(1). 53–63. 28 indexed citations
10.
Lin, Feng, et al.. (2019). Optimal Information Release for Mixed Opacity in Discrete-Event Systems. IEEE Transactions on Automation Science and Engineering. 16(4). 1960–1970. 18 indexed citations
11.
Wang, Weilin, et al.. (2019). Relative Network Observability and Its Relation With Network Observability. IEEE Transactions on Automatic Control. 65(8). 3584–3591. 13 indexed citations
12.
Wang, Le Yi, Feng Lin, Wen Chen, Yan Jiang, & Caiping Zhang. (2018). Hybrid Control of Networked Battery Systems. IEEE Transactions on Sustainable Energy. 10(3). 1109–1119. 12 indexed citations
13.
Lafortune, Stéphane, Feng Lin, & Christoforos N. Hadjicostis. (2018). On the history of diagnosability and opacity in discrete event systems. Annual Reviews in Control. 45. 257–266. 130 indexed citations
14.
Shu, Shaolong, Zhiqiang Huang, & Feng Lin. (2012). Minimal sensor activation for co-detectability of multi-agent discrete event systems. Chinese Control Conference. 2088–2093. 2 indexed citations
15.
Lin, Feng. (2010). Detection Method of Voltage Sags Characterizations Using RMS Algorithm. Low Voltage Apparatus.
16.
Lin, Feng. (2010). Simulation of Voltage Total Harmonic Distortion in Inverter Circuits. Proceedings of the Chinese Society of Universities for Electric Power System and its Automation. 1 indexed citations
17.
Lawley, Mark, et al.. (2008). Planning for Pandemic Influenza: Lessons from the Experiences of Thirteen Indiana Counties. Journal of Homeland Security and Emergency Management. 5(1). 9 indexed citations
18.
Lin, Feng. (2006). Simulation software of harmonic filter and reactive power compensation for distribution system. Dianli zidonghua shebei. 2 indexed citations
19.
Tang, Xiaoou, Feng Lin, & Jianzhuang Liu. (2005). Video-based handwritten Chinese character recognition. IEEE Transactions on Circuits and Systems for Video Technology. 15(1). 167–174. 4 indexed citations
20.
Lin, Feng. (2005). A Study of PSO and Powell Hybrid Algorithm Applied in Medical Image Registration. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026