Jun Yi

1.3k total citations
79 papers, 931 citations indexed

About

Jun Yi is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jun Yi has authored 79 papers receiving a total of 931 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 20 papers in Artificial Intelligence and 13 papers in Computational Theory and Mathematics. Recurrent topics in Jun Yi's work include Fault Detection and Control Systems (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Adaptive Dynamic Programming Control (6 papers). Jun Yi is often cited by papers focused on Fault Detection and Control Systems (9 papers), Advanced Multi-Objective Optimization Algorithms (6 papers) and Adaptive Dynamic Programming Control (6 papers). Jun Yi collaborates with scholars based in China, United States and Canada. Jun Yi's co-authors include Haibo He, Wei Zhou, Taifu Li, Lizhong Yao, Di Huang, Wei Zhou, Xiaoliang Li, Clayton V. Deutsch, I. Yücel Akkutlu and Jun Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jun Yi

70 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Yi China 17 282 247 202 127 117 79 931
Qinghua Gu China 18 314 1.1× 130 0.5× 263 1.3× 97 0.8× 55 0.5× 63 861
Changting Zhong China 10 411 1.5× 135 0.5× 265 1.3× 184 1.4× 93 0.8× 18 971
Guangyu Li China 8 254 0.9× 370 1.5× 93 0.5× 136 1.1× 100 0.9× 24 991
Qian Fan China 10 229 0.8× 212 0.9× 107 0.5× 84 0.7× 42 0.4× 24 939
Julian Blank United States 8 336 1.2× 132 0.5× 394 2.0× 232 1.8× 57 0.5× 21 1.4k
Mingzhu Tang China 15 609 2.2× 284 1.1× 206 1.0× 247 1.9× 95 0.8× 41 1.1k
Özgür Yeniay Türkiye 12 200 0.7× 103 0.4× 163 0.8× 100 0.8× 55 0.5× 28 895
A. Ismael F. Vaz Portugal 17 213 0.8× 213 0.9× 392 1.9× 364 2.9× 38 0.3× 41 1.3k
Itziar Landa-Torres Spain 14 323 1.1× 127 0.5× 136 0.7× 162 1.3× 99 0.8× 28 829
Armin Dadras Eslamlou Iran 20 588 2.1× 144 0.6× 420 2.1× 155 1.2× 117 1.0× 37 2.0k

Countries citing papers authored by Jun Yi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Yi. A scholar is included among the top collaborators of Jun Yi 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 Jun Yi. Jun Yi 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.
2.
Mu, Chaoxu, et al.. (2025). Efficient Exploration in Large State-Action Space Through Structured Action Space for Learning Multirobots Motion Planning. IEEE Transactions on Control Systems Technology. 34(1). 304–317.
3.
Zhou, Wei, et al.. (2024). Missing well logs reconstruction based on cascaded bidirectional long short-term memory network. Expert Systems with Applications. 259. 125270–125270. 5 indexed citations
4.
Yi, Jun, et al.. (2023). A hybrid association analysis framework of accident reports for offshore drilling platforms. Journal of Loss Prevention in the Process Industries. 85. 105161–105161. 4 indexed citations
5.
Yi, Jun, et al.. (2023). A Perspective-Embedded Scale-Selection Network for Crowd Counting in Public Transportation. IEEE Transactions on Intelligent Transportation Systems. 25(5). 3420–3432. 8 indexed citations
6.
Yi, Jun, et al.. (2022). Intergroup Cascade Broad Learning System With Optimized Parameters for Chaotic Time Series Prediction. IEEE Transactions on Artificial Intelligence. 3(5). 709–721. 15 indexed citations
7.
Zhou, Wei, et al.. (2022). YOLOTrashCan: A Deep Learning Marine Debris Detection Network. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 39 indexed citations
8.
Yi, Jun, Xuemei Chen, Wei Zhou, Yufei Tang, & Chaoxu Mu. (2021). A multiple model framework based on time series clustering for shale gas well pressure prediction. Journal of Natural Gas Science and Engineering. 95. 104135–104135. 2 indexed citations
9.
Yi, Jun, et al.. (2021). Multifactorial Evolutionary Algorithm Based on Improved Dynamical Decomposition for Many-Objective Optimization Problems. IEEE Transactions on Evolutionary Computation. 26(2). 334–348. 19 indexed citations
10.
Zhou, Wei, Jun Yi, Lizhong Yao, & Guorong Chen. (2021). Event-Triggered Optimal Control for the Continuous Stirred Tank Reactor System. IEEE Transactions on Artificial Intelligence. 3(2). 228–237. 16 indexed citations
11.
Ding, Wei, Lizhong Yao, Yanyan Li, et al.. (2020). Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system. Applied Soft Computing. 99. 106925–106925. 9 indexed citations
12.
Zhou, Wei, et al.. (2020). Optimal Control for Aluminum Electrolysis Process Using Adaptive Dynamic Programming. IEEE Access. 8. 220374–220383. 7 indexed citations
13.
Yi, Jun, et al.. (2020). A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties. IEEE Transactions on Evolutionary Computation. 24(5). 908–922. 57 indexed citations
15.
Yi, Jun, et al.. (2019). A Sparse Dimensionality Reduction Approach Based on False Nearest Neighbors for Nonlinear Fault Detection. IEEE Transactions on Systems Man and Cybernetics Systems. 51(8). 4980–4992. 16 indexed citations
16.
Yi, Jun, et al.. (2019). Adaptive Sampling Dual Heuristic Dynamic Programming for Rare Earth Extraction Process. IEEE Access. 7. 152968–152978. 1 indexed citations
17.
Zhou, Wei, Xiaoliang Li, Jun Yi, & Haibo He. (2018). A Novel UKF-RBF Method Based on Adaptive Noise Factor for Fault Diagnosis in Pumping Unit. IEEE Transactions on Industrial Informatics. 15(3). 1415–1424. 65 indexed citations
18.
Zhou, Wei, Huachao Liu, Haibo He, Jun Yi, & Taifu Li. (2018). Neuro-Optimal Tracking Control for Continuous Stirred Tank Reactor With Input Constraints. IEEE Transactions on Industrial Informatics. 15(8). 4516–4524. 42 indexed citations
19.
Yi, Jun, et al.. (2018). Event-Triggered Globalized Dual Heuristic Programming and Its Application to Networked Control Systems. IEEE Transactions on Industrial Informatics. 15(3). 1383–1392. 41 indexed citations
20.
Yi, Jun, et al.. (2017). Operating Parameters Optimization for the Aluminum Electrolysis Process Using an Improved Quantum-Behaved Particle Swarm Algorithm. IEEE Transactions on Industrial Informatics. 14(8). 3405–3415. 50 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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