Bo Chen

6.4k total citations · 1 hit paper
287 papers, 4.5k citations indexed

About

Bo Chen is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Bo Chen has authored 287 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Control and Systems Engineering, 117 papers in Computer Networks and Communications and 112 papers in Artificial Intelligence. Recurrent topics in Bo Chen's work include Target Tracking and Data Fusion in Sensor Networks (64 papers), Distributed Sensor Networks and Detection Algorithms (63 papers) and Fault Detection and Control Systems (55 papers). Bo Chen is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (64 papers), Distributed Sensor Networks and Detection Algorithms (63 papers) and Fault Detection and Control Systems (55 papers). Bo Chen collaborates with scholars based in China, United States and Singapore. Bo Chen's co-authors include Li Yu, Wen‐An Zhang, Daniel W. C. Ho, Guoqiang Hu, Tongxiang Li, Wenying Xu, Jie Zhong, Shichao Liu, Harry H. Cheng and Joe Palen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Bo Chen

255 papers receiving 4.4k citations

Hit Papers

Secure Fusion Estimation for Bandwidth Constrained Cyber-... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo Chen China 37 2.3k 2.2k 1.4k 739 431 287 4.5k
Minrui Fei China 39 2.9k 1.2× 2.1k 1.0× 1.4k 1.0× 1.6k 2.2× 196 0.5× 329 5.9k
Dawei Shi China 29 2.2k 0.9× 1.4k 0.7× 767 0.5× 462 0.6× 175 0.4× 182 3.4k
Xiaona Song China 47 2.7k 1.2× 2.0k 0.9× 961 0.7× 1.7k 2.3× 311 0.7× 239 6.2k
Vijay Gupta United States 32 2.9k 1.2× 2.1k 1.0× 778 0.5× 1.3k 1.8× 140 0.3× 227 4.6k
Wen‐Zhan Song United States 38 1.3k 0.6× 2.3k 1.0× 731 0.5× 2.0k 2.6× 343 0.8× 251 5.0k
Keyou You China 31 2.1k 0.9× 2.4k 1.1× 1.8k 1.2× 724 1.0× 105 0.2× 168 5.0k
Shuping He China 41 3.7k 1.6× 1.8k 0.9× 903 0.6× 526 0.7× 176 0.4× 220 5.2k
Reinaldo M. Palhares Brazil 36 3.5k 1.5× 1.2k 0.5× 997 0.7× 371 0.5× 190 0.4× 203 4.7k
Cailian Chen China 36 1.2k 0.5× 3.0k 1.4× 763 0.5× 2.0k 2.7× 203 0.5× 439 5.2k
Insoo Koo South Korea 28 833 0.4× 2.0k 0.9× 677 0.5× 1.9k 2.6× 166 0.4× 290 3.7k

Countries citing papers authored by Bo Chen

Since Specialization
Citations

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

Fields of papers citing papers by Bo Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Chen. A scholar is included among the top collaborators of Bo Chen 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 Bo Chen. Bo Chen 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
3.
Xiao, Guoqing, et al.. (2025). Characterizing boilover behaviours in thin-layer diesel pool fires: The critical roles of lip height and water layer thickness. Fire Safety Journal. 152. 104345–104345. 3 indexed citations
4.
Shen, Ying, et al.. (2024). H∞$$ {H}_{\infty } $$ optimal output tracking control for Markov jump systems: A reinforcement learning‐based approach. International Journal of Robust and Nonlinear Control. 34(8). 5149–5167. 2 indexed citations
5.
Li, Tongxiang, et al.. (2024). Encryption-Based Attack Detection Scheme for Multisensor Secure Fusion Estimation. IEEE Transactions on Aerospace and Electronic Systems. 60(5). 7548–7554. 1 indexed citations
6.
Chen, Pengcheng, Shichao Liu, Hicham Chaoui, Bo Chen, & Li Yu. (2024). Asynchronous deep reinforcement learning with gradient sharing for State of Charge balancing of multiple batteries in cyber–physical electric vehicles. Journal of the Franklin Institute. 361(6). 106717–106717. 1 indexed citations
7.
Chen, Bo, et al.. (2024). Secure fusion estimation against FDI sensor attacks in cyber–physical systems. SHILAP Revista de lepidopterología. 7. 100108–100108. 2 indexed citations
8.
Luo, Guiyang, et al.. (2023). GPLight: Grouped Multi-agent Reinforcement Learning for Large-scale Traffic Signal Control. 199–207. 17 indexed citations
9.
Chen, Bo, et al.. (2023). Modified q–σ rule for incipient fault detection in industrial processes on analysis of intermittent process variation. Chemometrics and Intelligent Laboratory Systems. 238. 104846–104846. 2 indexed citations
10.
Chen, Bo, et al.. (2023). Distributed encryption fusion estimation against full eavesdropping. Automatica. 153. 111025–111025. 12 indexed citations
11.
Li, Tongxiang, Bo Chen, Shichao Liu, et al.. (2023). Fast Attack Detection for Cyber–Physical Systems Using Dynamic Data Encryption. IEEE Transactions on Cybernetics. 54(5). 3251–3264. 14 indexed citations
12.
Shen, Ying, Zheng‐Guang Wu, Peng Shi, & Bo Chen. (2023). $\mathcal {H}_{\infty }$ Control of Constrained Markov Jump Systems With Intermittent Mode Information Loss. IEEE Transactions on Automatic Control. 68(12). 8052–8058. 6 indexed citations
13.
Wen, Zhenyu, Yang Long, Zhen Hong, et al.. (2023). The Importance of Expert Knowledge for Automatic Modulation Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13730–13748. 20 indexed citations
14.
Zhou, Jing, Bo Chen, Tongxiang Li, Xiang Qiu, & Li Yu. (2023). Secure Distributed State Estimation for Sequentially Interconnected CPSs Under FDI Attacks. IEEE Transactions on Circuits & Systems II Express Briefs. 71(4). 2454–2458. 6 indexed citations
15.
Li, Yanbiao, et al.. (2022). Dynamic Accuracy Analysis of a 5PSS/UPU Parallel Mechanism Based on Rigid-Flexible Coupled Modeling. Chinese Journal of Mechanical Engineering. 35(1). 11 indexed citations
16.
Li, Yanbiao, et al.. (2022). Multi-objective Trajectory Planning Method based on the Improved Elitist Non-dominated Sorting Genetic Algorithm. Chinese Journal of Mechanical Engineering. 35(1). 26 indexed citations
17.
Chen, Bo, et al.. (2022). Distributed Secure Estimation Against Unknown FDI Attacks and Load Deviation in Multi-Area Power Systems. IEEE Transactions on Circuits & Systems II Express Briefs. 69(6). 3007–3011. 37 indexed citations
18.
Chen, Pengcheng, Shichao Liu, Bo Chen, & Li Yu. (2022). Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems Against DoS Attacks. IEEE Transactions on Smart Grid. 13(3). 1739–1750. 74 indexed citations
19.
Li, Yanbiao, et al.. (2021). Generalized Kinematics Analysis of Hybrid Mechanisms Based on Screw Theory and Lie Groups Lie Algebras. Chinese Journal of Mechanical Engineering. 34(1). 9 indexed citations
20.
Li, Yanbiao, et al.. (2020). Dynamic Modeling and Analysis of 5-PSS/UPU Parallel Mechanism with Elastically Active Branched Chains. Chinese Journal of Mechanical Engineering. 33(1). 11 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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