Jinliang Ding

5.7k total citations · 2 hit papers
196 papers, 4.0k citations indexed

About

Jinliang Ding is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Jinliang Ding has authored 196 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Control and Systems Engineering, 74 papers in Artificial Intelligence and 52 papers in Mechanical Engineering. Recurrent topics in Jinliang Ding's work include Fault Detection and Control Systems (58 papers), Mineral Processing and Grinding (40 papers) and Advanced Multi-Objective Optimization Algorithms (35 papers). Jinliang Ding is often cited by papers focused on Fault Detection and Control Systems (58 papers), Mineral Processing and Grinding (40 papers) and Advanced Multi-Objective Optimization Algorithms (35 papers). Jinliang Ding collaborates with scholars based in China, United Kingdom and United States. Jinliang Ding's co-authors include Tianyou Chai, Yaochu Jin, Cuie Yang, Jun Lu, Hong Wang, Chaoli Sun, Jianchao Zeng, Junwei Wang, Hongfeng Wang and Frank L. Lewis and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Journal of Cleaner Production.

In The Last Decade

Jinliang Ding

178 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems

2017 307 citations Yaochu Jin, Jinliang Ding et al. IEEE Transactions on Evolutionary Computation profile →
Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions

2024 62 citations Yongchao Zhang, Jinliang Ding et al. Engineering Applications of Artificial Intelligence profile →

Peers

Jinliang Ding

CTM

CSE

IME

N. Srinivas India

Efrén Mezura‐Montes Mexico

David A. Van Veldhuizen United States

Tao Zhang China

Indraneel Das United States

Pradeep Jangir India

Daryl Essam Australia

Liying Wang China

Markus Olhofer Germany

Mohammed A. Awadallah Jordan

N. Srinivas India

Jinliang Ding

1.7k ×0.9

2.2k ×1.5

CTM

822 ×0.6

CSE

745 ×1.2

717 ×1.4

IME

Citations per year, relative to Jinliang Ding Jinliang Ding (= 1×) peers N. Srinivas

Countries citing papers authored by Jinliang Ding

Since Specialization

Citations

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

Fields of papers citing papers by Jinliang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinliang Ding

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Handing, et al.. (2025). Data Stream driven evolutionary algorithm for cost sensitive robust optimization over time. Swarm and Evolutionary Computation. 94. 101880–101880. 1 indexed citations

Jiang, Xiaoxu, Qingda Chen, Jinliang Ding, & Xingyi Zhang. (2025). Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1352–1366. 1 indexed citations

Ding, Jinliang, et al.. (2025). Distributed Time-Varying Optimization for High-Order Linear Multi-Agent Systems With Applications in Battery Energy Storage Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 72(12). 8220–8231.

Zhang, Kesheng, Like Li, Xiang Li, Jinliang Ding, & Shen Yin. (2025). Adaptive Multiresampling Learning Based on Dual-Scale Feature Aggregation for Industrial Quality Prediction. IEEE Transactions on Industrial Informatics. 21(6). 4606–4616. 2 indexed citations

Dai, Xuewu, et al.. (2025). OD-TGCN: An Observer-Driven Temporal Graph Convolutional Network for Early Fault Detection of Control Systems. IEEE Transactions on Circuits and Systems I Regular Papers. 72(10). 5872–5884.

Ding, Jinliang, et al.. (2025). Visualization of Industrial Big Data: State-of-the-Art and Future Perspectives. Engineering. 52. 85–101.

Zhang, Yongchao, Jinliang Ding, Yongbo Li, Zhaohui Ren, & Ke Feng. (2024). Multi-modal data cross-domain fusion network for gearbox fault diagnosis under variable operating conditions. Engineering Applications of Artificial Intelligence. 133. 108236–108236. 62 indexed citations breakdown →

Ding, Jinliang & Ying Hong. (2024). Development and validation of attitudes toward inclusive education scale among Chinese normal universities students’ attitudes. BMC Psychology. 12(1). 753–753. 1 indexed citations

Li, Chunzhong, et al.. (2024). EHOPN: A novel enhanced high-order pooling-based network for industrial fault detection. Journal of Process Control. 142. 103296–103296. 8 indexed citations

10.

Ding, Jinliang, et al.. (2024). Distributed Optimal Resource Allocation for High-Order Nonlinear Multiagent Systems Over Unbalanced Digraphs. IEEE Transactions on Control of Network Systems. 12(1). 51–63. 5 indexed citations

11.

Yi, Ling, et al.. (2024). Explainable Attention-Based AAV Target Detection for Search and Rescue Scenarios. IEEE Internet of Things Journal. 12(5). 4922–4934. 1 indexed citations

12.

Ding, Jinliang, et al.. (2024). A Knee Point Driven Evolutionary Algorithm for Multiobjective Bilevel Optimization. IEEE Transactions on Cybernetics. 54(7). 4177–4189. 10 indexed citations

13.

Chen, Qingda, et al.. (2024). A Multistage Expensive Constrained Multiobjective Optimization Algorithm Based on Ensemble Infill Criterion. IEEE Transactions on Evolutionary Computation. 29(6). 2357–2371. 7 indexed citations

14.

Tian, Ye, Luchen Wang, Shangshang Yang, et al.. (2024). Neural Network-Based Dimensionality Reduction for Large-Scale Binary Optimization With Millions of Variables. IEEE Transactions on Evolutionary Computation. 29(6). 2328–2342. 7 indexed citations

15.

Zhang, Jianfeng, Chunhui Zhao, & Jinliang Ding. (2023). Deep reinforcement learning with domain randomization for overhead crane control with payload mass variations. Control Engineering Practice. 141. 105689–105689. 6 indexed citations

16.

Ding, Jinliang, et al.. (2022). Model-Free Q-Learning for the Tracking Problem of Linear Discrete-Time Systems. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 3191–3201. 15 indexed citations

17.

Zhou, Ping, et al.. (2022). Enhanced MPC based on unknown state estimation and control compensation. Journal of Process Control. 121. 60–72. 4 indexed citations

18.

Guo, Dan, et al.. (2021). Evolutionary Optimization of High-Dimensional Multiobjective and Many-Objective Expensive Problems Assisted by a Dropout Neural Network. IEEE Transactions on Systems Man and Cybernetics Systems. 52(4). 2084–2097. 121 indexed citations

19.

Yi, Ling, et al.. (2019). NMR principle analysis based object detection for intelligent measurement of crude oil moisture content. Asian Control Conference. 456–461. 3 indexed citations

20.

Ding, Jinliang, et al.. (2006). Study of scheduling based on production indices optimization for mineral processing. Journal of systems engineering. 3 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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