Dehao Wu

1.2k total citations
69 papers, 823 citations indexed

About

Dehao Wu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Dehao Wu has authored 69 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Control and Systems Engineering, 26 papers in Electrical and Electronic Engineering and 19 papers in Mechanical Engineering. Recurrent topics in Dehao Wu's work include Fault Detection and Control Systems (28 papers), Optical Wireless Communication Technologies (22 papers) and Mineral Processing and Grinding (15 papers). Dehao Wu is often cited by papers focused on Fault Detection and Control Systems (28 papers), Optical Wireless Communication Technologies (22 papers) and Mineral Processing and Grinding (15 papers). Dehao Wu collaborates with scholars based in China, Singapore and United Kingdom. Dehao Wu's co-authors include Chen Chen, Wen‐De Zhong, Keke Huang, Chunhua Yang, Donghua Zhou, Maoyin Chen, Weihua Gui, Zabih Ghassemlooy, Ran Zhang and Qian Kemao and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and Industrial & Engineering Chemistry Research.

In The Last Decade

Dehao Wu

64 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dehao Wu China 17 436 301 159 83 63 69 823
Mifeng Ren China 16 147 0.3× 446 1.5× 157 1.0× 144 1.7× 48 0.8× 72 745
Dubravko Miljković United States 9 114 0.3× 225 0.7× 71 0.4× 90 1.1× 25 0.4× 43 446
Feiyun Cong China 15 86 0.2× 516 1.7× 411 2.6× 36 0.4× 36 0.6× 52 805
Shuqing Zhang China 19 466 1.1× 491 1.6× 162 1.0× 54 0.7× 22 0.3× 78 855
Gaowei Yan China 14 146 0.3× 165 0.5× 188 1.2× 124 1.5× 38 0.6× 72 560
Yunkai Wu China 12 92 0.2× 417 1.4× 136 0.9× 78 0.9× 36 0.6× 35 611
Jingchao Li China 18 135 0.3× 284 0.9× 252 1.6× 199 2.4× 166 2.6× 56 773
Antonio Luchetta Italy 21 889 2.0× 374 1.2× 89 0.6× 126 1.5× 14 0.2× 93 1.2k

Countries citing papers authored by Dehao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dehao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dehao Wu. A scholar is included among the top collaborators of Dehao Wu 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 Dehao Wu. Dehao Wu 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.
Liu, Zeyi, Weihua Gui, Keke Huang, et al.. (2025). Contrastive Learning-Based Secure Unsupervised Domain Adaptation Framework and its Application in Cross-Factory Intelligent Manufacturing. IEEE Robotics and Automation Letters. 10(5). 5106–5113.
2.
Huang, Keke, et al.. (2025). Open Multimode Process Monitoring: A Dual Memory-Based Continual Dictionary Learning Method. IEEE Transactions on Industrial Electronics. 72(10). 10662–10672. 1 indexed citations
3.
Huang, Keke, et al.. (2025). Proactive Identification-Based Self-Learning Control Method for Distributed Parameter System. IEEE Transactions on Industrial Electronics. 73(2). 3150–3161.
4.
Huang, Keke, Weihua Cao, Yishun Liu, et al.. (2025). A Weighted Deep Learning-Based Predictive Control for Multimode Nonlinear System With Industrial Applications. IEEE Transactions on Automation Science and Engineering. 22. 10814–10826. 1 indexed citations
5.
Yang, Chunhua, et al.. (2024). Manifold embedding stationary subspace analysis for nonstationary process monitoring with industrial applications. Journal of Process Control. 140. 103262–103262. 3 indexed citations
6.
Yang, Chunhua, et al.. (2024). Adaptive Learning Control for DPS With Continually Emerging Operational Conditions. IEEE Transactions on Automation Science and Engineering. 22. 3671–3684. 3 indexed citations
7.
Huang, Keke, et al.. (2024). Global Information-Based Lifelong Dictionary Learning for Multimode Process Monitoring. IEEE Transactions on Systems Man and Cybernetics Systems. 54(12). 7182–7194. 5 indexed citations
8.
Li, Junxian, Keke Huang, Dehao Wu, et al.. (2024). Hybrid variable dictionary learning for monitoring continuous and discrete variables in manufacturing processes. Control Engineering Practice. 149. 105970–105970. 5 indexed citations
9.
Huang, Keke, et al.. (2024). Dynamic Error-Triggered Adaptive Control Method and Its Industrial Applications. IEEE Transactions on Automation Science and Engineering. 22. 5038–5050. 1 indexed citations
10.
Huang, Keke, Junxian Li, Dehao Wu, et al.. (2024). Sparse Wasserstein stationary subspace analysis for fault detection and diagnosis of nonstationary industrial processes. ISA Transactions. 151. 285–295. 1 indexed citations
11.
Yang, Chunhua, Yishun Liu, Keke Huang, Dehao Wu, & Weihua Gui. (2024). Low-carbon operation technologies and challenges for process industry. Fundamental Research. 5(5). 2283–2293. 2 indexed citations
12.
Sun, Bei, et al.. (2024). A co-optimized control method of key parameters during operating state migration in zinc electrolysis process. Journal of the Franklin Institute. 361(18). 107303–107303.
13.
Yang, Chunhua, Jiaojiao Zhang, Dehao Wu, Keke Huang, & Weihua Gui. (2023). Variable partition based parallel dictionary learning for linearity and nonlinearity coexisting dynamic process monitoring. Control Engineering Practice. 142. 105750–105750. 3 indexed citations
14.
Huang, Keke, et al.. (2023). Physical Informed Sparse Learning for Robust Modeling of Distributed Parameter System and Its Industrial Applications. IEEE Transactions on Automation Science and Engineering. 21(3). 4561–4572. 11 indexed citations
15.
Liu, Yali, et al.. (2022). A Compatible Design of a Passive Exoskeleton to Reduce the Body–Exoskeleton Interaction Force. Machines. 10(5). 371–371. 9 indexed citations
16.
Wu, Dehao, Donghua Zhou, & Maoyin Chen. (2021). Probabilistic Stationary Subspace Analysis for Monitoring Nonstationary Industrial Processes With Uncertainty. IEEE Transactions on Industrial Informatics. 18(5). 3114–3125. 34 indexed citations
17.
Wu, Dehao, Donghua Zhou, & Maoyin Chen. (2021). Performance-Driven Component Selection in the Framework of PCA for Process Monitoring: A Dynamic Selection Approach. IEEE Transactions on Control Systems Technology. 30(3). 1171–1185. 16 indexed citations
18.
Wu, Dehao, et al.. (2020). Output-Relevant Common Trend Analysis for KPI-Related Nonstationary Process Monitoring With Applications to Thermal Power Plants. IEEE Transactions on Industrial Informatics. 17(10). 6664–6675. 26 indexed citations
19.
Wu, Dehao, Zabih Ghassemlooy, Wen‐De Zhong, & Chen Chen. (2014). Cellular indoor OWC systems with an optimal lambertian order and a handover algorithm. 777–782. 8 indexed citations
20.
Wu, Dehao, Zabih Ghassemlooy, Hoa Le Minh, & Sujan Rajbhandari. (2011). Power distribution investigation of a hexagonal diffused cellular indoor visible light communications system. Northumbria Research Link (Northumbria University). 1 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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