Chenliang Liu

1.2k total citations
60 papers, 756 citations indexed

About

Chenliang Liu is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Chenliang Liu has authored 60 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Control and Systems Engineering, 19 papers in Artificial Intelligence and 16 papers in Mechanical Engineering. Recurrent topics in Chenliang Liu's work include Fault Detection and Control Systems (26 papers), Mineral Processing and Grinding (15 papers) and Neural Networks and Applications (9 papers). Chenliang Liu is often cited by papers focused on Fault Detection and Control Systems (26 papers), Mineral Processing and Grinding (15 papers) and Neural Networks and Applications (9 papers). Chenliang Liu collaborates with scholars based in China, Hong Kong and Singapore. Chenliang Liu's co-authors include Yalin Wang, Xiaofeng Yuan, Kai Wang, Chunhua Yang, Kai Wang, Weihua Gui, Chunhua Yang, Xiujuan Jin, Lingjian Ye and Di Chen and has published in prestigious journals such as The Science of The Total Environment, Journal of Hazardous Materials and IEEE Transactions on Industrial Electronics.

In The Last Decade

Chenliang Liu

49 papers receiving 745 citations

Peers

Countries citing papers authored by Chenliang Liu

Since Specialization

Citations

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

Fields of papers citing papers by Chenliang Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenliang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenliang Liu. A scholar is included among the top collaborators of Chenliang Liu 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 Chenliang Liu. Chenliang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Multi-view diabetic retinopathy grading via cross-view spatial alignment and adaptive vessel reinforcing 2025 ·Pattern Recognition ·(unknown), (unknown), Xiaoling Luo, Zhihao Wu, Chenliang Liu, (unknown), Jie Wen, Bingo Wing‐Kuen Ling, Yong Xu, Wei Wang	3
2	Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application 2025 ·IEEE Transactions on Industrial Informatics ·(unknown), Yalin Wang, Chenliang Liu, Kai Wang, Bei Sun	2
3	Strong-Robustness Sliding Mode Torque Observer With Frequency Adaptive Filter Integrated for PMSMs 2025 ·IEEE Transactions on Power Electronics ·(unknown), Yalin Wang, He Cheng, Chao Gong, (unknown), Chenliang Liu	0
4	Machine scheduling optimization via multi-strategy information-aware genetic algorithm in steelmaking continuous casting industrial process 2025 ·Control Engineering Practice ·(unknown), Yalin Wang, (unknown), Chenliang Liu, Weihua Gui	1
5	EKG-AC: A New Paradigm for Process Industrial Optimization Based on Offline Reinforcement Learning With Expert Knowledge Guidance 2025 ·IEEE Transactions on Cybernetics ·(unknown), (unknown), Chenliang Liu, Biao Luo, Biao Huang	0
6	Data-driven optimization strategy of raw material procurement under uncertainties of price fluctuations and production demand in industrial enterprises 2025 ·Computers & Industrial Engineering ·(unknown), Yalin Wang, Chenliang Liu, Guohua Wu, Weihua Gui	0
7	Forecast of coal consumption in salt lake enterprises based on temporal gated recurrent unit network with squeeze-and-excitation attention 2024 ·Energy ·Yalin Wang, (unknown), Chenliang Liu, (unknown), Zhifeng Qiu, Geert Deconinck	3
8	Unveiling the potential of progressive training diffusion model for defect image generation and recognition in industrial processes 2024 ·Neurocomputing ·(unknown), (unknown), (unknown), (unknown), (unknown), Zhifeng Qiu, Chenliang Liu	9
9	Exploring interpretable evolutionary optimization via significance of each constraint and population diversity 2024 ·Swarm and Evolutionary Computation ·Yalin Wang, (unknown), Chenliang Liu, Pei-Qiu Huang, Qingfu Zhang, (unknown)	7
10	Two-stage hierarchical decision-making strategy for railway transportation freight stowage based on cooperative embedding optimization 2024 ·IEEE Transactions on Intelligent Vehicles ·Yalin Wang, Yiyin Tang, Chenliang Liu, Guohua Wu, Weihua Gui	2
11	Anomaly detection using large-scale multimode industrial data: An integration method of nonstationary kernel and autoencoder 2024 ·Engineering Applications of Artificial Intelligence ·Kai Wang, (unknown), (unknown), Yalin Wang, Xiaofeng Yuan, Chenliang Liu	13
12	Adaptive Attention-Driven Manifold Regularization for Deep Learning Networks: Industrial Predictive Modeling Applications and Beyond 2024 ·IEEE Transactions on Industrial Electronics ·Chenliang Liu, Yalin Wang, Chunhua Yang, Henry Leung, Xunyuan Yin	10
13	Koopman-Constrained Hierarchical Deep State Space Model for Industrial Quality Prediction via Cloud-Edge Collaborative Framework 2024 ·IEEE Transactions on Systems Man and Cybernetics Systems ·(unknown), Yalin Wang, Chenliang Liu, Minghao Han, Chunhua Yang	5
14	Associations of ambient air pollution exposure and lifestyle factors with incident dementia in the elderly: A prospective study in the UK Biobank 2024 ·Environment International ·Yichi Zhang, Ye Fu, Xin Guan, Chenming Wang, Ming Fu, Yang Xiao, (unknown), Yuhan Zhou, Chenliang Liu, (unknown), (unknown), (unknown), Hui Zhao, (unknown), Yuxi Wang, Huan Guo	10
15	Residual-aware deep attention graph convolutional network via unveiling data latent interactions for product quality prediction in industrial processes 2023 ·Expert Systems with Applications ·(unknown), Yalin Wang, (unknown), Xiaofeng Yuan, Kai Wang, Chenliang Liu	8
16	Intelligent Operational Optimization Method for Salt Lake Chemical Industrial Processes Based on Data-Driven Modeling 2023 ·(unknown), Yalin Wang, Chenliang Liu, Kai Wang, Xiaofeng Yuan	0
17	Integrating Reinforcement Learning and LSTM for Raw Material Procurement Optimization in Salt Lake Chemical Manufacturing 2023 ·(unknown), Yalin Wang, Kai Wang, (unknown), Shancheng Jiang, Chenliang Liu	0
18	Semi-supervised deep embedded clustering with pairwise constraints and subset allocation 2023 ·Neural Networks ·Yalin Wang, (unknown), Kai Wang, Chenliang Liu, Xiaofeng Yuan	9
19	Unlocking operational excellence: A deep dive into a communication-driven multi-strategy state transition algorithm for industrial process optimization 2023 ·Chemometrics and Intelligent Laboratory Systems ·(unknown), Yalin Wang, Chenliang Liu, Xiaofeng Yuan, (unknown)	6
20	Dynamic-static collaborative strategy for industrial data modeling based on hierarchical deep networks 2022 ·Measurement Science and Technology ·Xiangyu Peng, Yalin Wang, Chenliang Liu, (unknown), (unknown)	4

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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