Chao‐Bo Yan

649 total citations
53 papers, 468 citations indexed

About

Chao‐Bo Yan is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Chao‐Bo Yan has authored 53 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Industrial and Manufacturing Engineering, 12 papers in Management Information Systems and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Chao‐Bo Yan's work include Scheduling and Optimization Algorithms (31 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Assembly Line Balancing Optimization (11 papers). Chao‐Bo Yan is often cited by papers focused on Scheduling and Optimization Algorithms (31 papers), Advanced Manufacturing and Logistics Optimization (16 papers) and Assembly Line Balancing Optimization (11 papers). Chao‐Bo Yan collaborates with scholars based in China, United States and United Kingdom. Chao‐Bo Yan's co-authors include Semyon M. Meerkov, Qianchuan Zhao, Feng Gao, MengChu Zhou, Xiaohong Guan, Zhen Shen, Gang Xiong, Tariku Sinshaw Tamir, Qihang Fang and Fei‐Yue Wang and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Intelligent Transportation Systems and International Journal of Production Research.

In The Last Decade

Chao‐Bo Yan

48 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao‐Bo Yan China 13 285 82 82 77 65 53 468
Davide Anghinolfi Italy 11 336 1.2× 28 0.3× 49 0.6× 85 1.1× 122 1.9× 22 541
Maroua Nouiri France 8 474 1.7× 42 0.5× 49 0.6× 82 1.1× 35 0.5× 15 660
Omid Shahvari United States 11 315 1.1× 31 0.4× 110 1.3× 63 0.8× 17 0.3× 13 501
Andreas Kuhnle Germany 16 736 2.6× 102 1.2× 28 0.3× 127 1.6× 32 0.5× 32 901
Silviu Răileanu Romania 10 293 1.0× 40 0.5× 24 0.3× 53 0.7× 12 0.2× 27 415
Mageed Ghaleb Saudi Arabia 11 404 1.4× 48 0.6× 34 0.4× 50 0.6× 10 0.2× 27 626
Dāvis Meike Germany 12 325 1.1× 12 0.1× 78 1.0× 231 3.0× 42 0.6× 18 569
Arvind Rajan Malaysia 11 63 0.2× 156 1.9× 78 1.0× 20 0.3× 28 0.4× 29 418
Moncef Hammadi France 13 342 1.2× 27 0.3× 32 0.4× 124 1.6× 9 0.1× 61 558

Countries citing papers authored by Chao‐Bo Yan

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Bo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Bo Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Bo Yan. A scholar is included among the top collaborators of Chao‐Bo Yan 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 Chao‐Bo Yan. Chao‐Bo Yan 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.
Yang, Feisheng, et al.. (2025). Predefined-Time Secure Distributed Energy Management for Microgrids Against DoS Attack Based on Dynamic Event-Triggered Approach. IEEE Transactions on Automation Science and Engineering. 22. 12791–12801. 6 indexed citations
2.
Fang, Qihang, Gang Xiong, Tariku Sinshaw Tamir, et al.. (2024). Probabilistic Data-Driven Modeling of a Melt Pool in Laser Powder Bed Fusion Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. 22. 4908–4925. 3 indexed citations
4.
Lan, Yu, et al.. (2023). Robust Approximate Dynamic Programming for Large-Scale Unit Commitment With Energy Storages. IEEE Transactions on Automation Science and Engineering. 21(4). 7401–7412. 8 indexed citations
5.
Pei, Zhi, et al.. (2022). Energy consumption control in the two-machine Bernoulli serial production line with setup and idleness. International Journal of Production Research. 61(9). 2917–2936. 9 indexed citations
6.
Fang, Qihang, Gang Xiong, MengChu Zhou, et al.. (2022). Process Monitoring, Diagnosis and Control of Additive Manufacturing. IEEE Transactions on Automation Science and Engineering. 21(1). 1041–1067. 82 indexed citations
7.
Nie, Zelin, Wei Cheng, Guanghui Zhou, et al.. (2022). Consistency guaranteed two-timescale decision and optimization of HVAC system with ice storage. International Journal of Electrical Power & Energy Systems. 141. 108115–108115. 12 indexed citations
8.
Zhou, Cangqi, et al.. (2022). Cache Control of Edge Computing System for Tradeoff Between Delays and Cache Storage Costs. IEEE Transactions on Automation Science and Engineering. 21(1). 827–843. 7 indexed citations
9.
Zhu, Jihua, et al.. (2022). 3DMNDT: 3D Multi-View Registration Method Based on the Normal Distributions Transform. IEEE Transactions on Automation Science and Engineering. 21(1). 488–501. 5 indexed citations
10.
Nie, Zelin, Feng Gao, & Chao‐Bo Yan. (2021). A Multi-Timescale Bilinear Model for Optimization and Control of HVAC Systems with Consistency. Energies. 14(2). 400–400. 8 indexed citations
11.
Yan, Chao‐Bo, et al.. (2021). Energy cost optimisation in two-machine Bernoulli serial lines under time-of-use pricing. International Journal of Production Research. 60(13). 3948–3964. 8 indexed citations
12.
Yan, Chao‐Bo, et al.. (2020). Problem Formulation and Solution Methodology for Energy Consumption Optimization in Bernoulli Serial Lines. IEEE Transactions on Automation Science and Engineering. 18(2). 776–790. 16 indexed citations
13.
Gao, Feng, et al.. (2020). Robust Energy Management for a Corporate Energy System With Shift-Working V2G. IEEE Transactions on Automation Science and Engineering. 18(2). 650–667. 15 indexed citations
14.
Yan, Chao‐Bo, et al.. (2020). Energy Consumption optimization in Two-Machine Geometric Serial Lines. 830–835. 5 indexed citations
15.
Feng, Yanxiang, MengChu Zhou, Feng Tian, Chao‐Bo Yan, & Keyi Xing. (2020). Deadlock Prevention Controller for Automated Manufacturing Systems Modeled by S4PR. IEEE Transactions on Systems Man and Cybernetics Systems. 51(12). 7403–7412. 14 indexed citations
16.
Li, Li, et al.. (2019). Towards robust controller placement in software-defined networks against links failure. Immunotechnology. 216–223. 5 indexed citations
17.
Yan, Chao‐Bo, et al.. (2019). Energy Consumption Optimization in Three-Machine Bernoulli Serial Lines. 590–595. 1 indexed citations
18.
Wang, Junqiang, et al.. (2018). Bernoulli serial lines with batching machines: Performance analysis and system-theoretic properties. IISE Transactions. 51(7). 729–743. 12 indexed citations
19.
Meerkov, Semyon M. & Chao‐Bo Yan. (2014). Cellular Production Lines With Asymptotically Reliable Bernoulli Machines: Lead Time Analysis and Control. IEEE Transactions on Automation Science and Engineering. 12(2). 764–768. 8 indexed citations
20.
Biller, Stephan, Semyon M. Meerkov, & Chao‐Bo Yan. (2013). Raw material release rates to ensure desired production lead time in Bernoulli serial lines. International Journal of Production Research. 51(14). 4349–4364. 23 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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