Chengbin Liang

511 total citations
39 papers, 304 citations indexed

About

Chengbin Liang is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Networks and Communications. According to data from OpenAlex, Chengbin Liang has authored 39 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 13 papers in Control and Systems Engineering and 5 papers in Computer Networks and Communications. Recurrent topics in Chengbin Liang's work include Power Quality and Harmonics (11 papers), Advanced Electrical Measurement Techniques (6 papers) and Magnetic Properties and Applications (5 papers). Chengbin Liang is often cited by papers focused on Power Quality and Harmonics (11 papers), Advanced Electrical Measurement Techniques (6 papers) and Magnetic Properties and Applications (5 papers). Chengbin Liang collaborates with scholars based in China, United Kingdom and Slovakia. Chengbin Liang's co-authors include JinRong Wang, Donal O’Regan, Jianmin Li, Zhaosheng Teng, Qing He, Shiyan Hu, Wenxuan Yao, Dong Shen, Wei Wei and Mičhal Fĕckan and has published in prestigious journals such as IEEE Access, Energy and IEEE Transactions on Industrial Informatics.

In The Last Decade

Chengbin Liang

29 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengbin Liang China 10 123 99 74 68 60 39 304
Zoran D. Jeličić Serbia 12 354 2.9× 49 0.5× 33 0.4× 169 2.5× 53 0.9× 37 509
A. Ranjbar Iran 8 264 2.1× 81 0.8× 26 0.4× 175 2.6× 89 1.5× 13 447
Zhiwei Yang China 8 190 1.5× 38 0.4× 40 0.5× 90 1.3× 63 1.1× 30 339
Ahmed Maidi Algeria 10 247 2.0× 19 0.2× 13 0.2× 38 0.6× 59 1.0× 35 330
Huatao Chen China 11 169 1.4× 13 0.1× 21 0.3× 74 1.1× 27 0.5× 34 331
Van Thien Nguyen Vietnam 10 48 0.4× 20 0.2× 99 1.3× 27 0.4× 15 0.3× 55 272
Yunzhe Tao United States 9 25 0.2× 51 0.5× 9 0.1× 30 0.4× 27 0.5× 14 301
Α. Gallo Italy 8 178 1.4× 62 0.6× 4 0.1× 48 0.7× 58 1.0× 30 358
Messaoud Amairi Tunisia 14 493 4.0× 44 0.4× 5 0.1× 109 1.6× 26 0.4× 78 530

Countries citing papers authored by Chengbin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Chengbin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengbin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Chengbin Liang. A scholar is included among the top collaborators of Chengbin Liang 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 Chengbin Liang. Chengbin Liang 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.
Wang, Deguang, et al.. (2025). Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem. Swarm and Evolutionary Computation. 93. 101836–101836. 10 indexed citations
2.
Yang, Ming, et al.. (2025). Camera calibration based on hybrid differential evolution and crayfish optimization algorithm. Optics and Lasers in Engineering. 193. 109088–109088. 1 indexed citations
3.
Chen, Guowei, Chenguang Cai, Ming Yang, et al.. (2025). Monocular Vision-Based Key Dynamic Parameters Measurement Method Used for Typical Bridge Structures Health Monitoring. IEEE Sensors Journal. 25(6). 10320–10331. 1 indexed citations
4.
Zhang, Guoping, Chengbin Liang, & Quanxin Zhu. (2025). Adaptive Fuzzy Event-Triggered Optimized Consensus Control for Delayed Unknown Stochastic Nonlinear Multi-Agent Systems Using Simplified ADP. IEEE Transactions on Automation Science and Engineering. 22. 11780–11793. 5 indexed citations
5.
Zhang, Mengjian, et al.. (2025). Enhanced hippopotamus optimization algorithm for tuning proportional–integral–derivative controllers. Frontiers of Information Technology & Electronic Engineering. 26(8). 1356–1377.
6.
Xu, Hua, Chengbin Liang, Guoping Zhang, & Quanxin Zhu. (2025). Event-triggered guaranteed cost control and H∞ control of multi-area power systems under stochastic cyber-attacks. Journal of the Franklin Institute. 363(1). 108240–108240.
7.
Yu, Jiaqi, et al.. (2025). A harmonic analysis method for power systems based on double frequency-shift filtering. Measurement. 249. 117030–117030.
8.
Li, Jianmin, et al.. (2025). A Novel Classification and Identification Method for Complex Power Quality Disturbances Based on Confidence-Enhanced Guided Multilabel Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
9.
Tang, Haiping, et al.. (2025). An Improved NSGA-II Based Multi-Objective Optimization Model for Electric Vehicle Charging Station Selection. Mathematics. 13(23). 3855–3855. 1 indexed citations
10.
Zhang, Guoping, et al.. (2025). Dynamic Event-Triggered Optimal Consensus Fault-Tolerant Control for Unknown Stochastic Nonlinear Multi-Agent Systems With Time-Delays. IEEE Transactions on Automation Science and Engineering. 22. 19836–19849.
11.
12.
Zhu, Bo, et al.. (2024). Time-varying harmonic analysis method based on adaptive frequency-shift filtering for power systems. Electric Power Systems Research. 238. 111177–111177. 1 indexed citations
13.
Wang, Deguang, et al.. (2024). Sensor Activation Policy Optimization for Opacity Enforcement Based on Reinforcement Learning. IEEE Sensors Journal. 24(22). 38429–38439. 1 indexed citations
14.
15.
Li, Jianmin, et al.. (2023). A Generic Flicker Measurement Method Based on Feature Sequence Reconstruction. IEEE Transactions on Instrumentation and Measurement. 72. 1–9. 1 indexed citations
16.
Liang, Chengbin, et al.. (2021). A Kaiser Window-Based S-Transform for Time-Frequency Analysis of Power Quality Signals. IEEE Transactions on Industrial Informatics. 18(2). 965–975. 38 indexed citations
17.
Liang, Chengbin, Zhaosheng Teng, Jianmin Li, et al.. (2021). Improved S-Transform for Time-Frequency Analysis for Power Quality Disturbances. IEEE Transactions on Power Delivery. 37(4). 2942–2952. 13 indexed citations
18.
Li, Jianmin, Haijun Lin, Zhaosheng Teng, Fu Zhang, & Chengbin Liang. (2020). Digital prolate spheroidal window-based S-transform for time-varying harmonic analysis. Electric Power Systems Research. 187. 106512–106512. 8 indexed citations
19.
Li, Jianmin, et al.. (2020). A Simple Calibration Method for Ratio Error and Phase Error of Electronic Energy Meter. Electric Power Systems Research. 186. 106416–106416. 6 indexed citations
20.
Liang, Chengbin, JinRong Wang, & Dong Shen. (2018). Iterative learning control for linear discrete delay systems via discrete matrix delayed exponential function approach. The Journal of Difference Equations and Applications. 24(11). 1756–1776. 21 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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