Dinghui Wu

585 citations
67 papers · 423 · h-index 11

Impact in

Papers in

Dinghui Wu

57 papers receiving 413 citations

Peers

Dinghui Wu
Comparison fields: 5 of 62
  • Control and Systems Engineering 198
  • Energy Engineering and Power Technology 19
  • Electrical and Electronic Engineering 189
  • Artificial Intelligence 82
  • Industrial and Manufacturing Engineering 20
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Ming Sun China
Luis Arturo Soriano Mexico
N. K. Jain India
Jinbo Wu China
Murat E. Balci Türkiye
Peter Green United Kingdom
Sen Li China
Jiyong Li China
Dinghui Wu relative to Ming Sun China Ming Sun's profile →
Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Dinghui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dinghui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dinghui Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dinghui Wu Line = papers co-authored together Dinghui Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201541
3 202135
4 201724
5 201417
6 201815
7 201815
8 201712
9 200612
10 201611
11 202110
12 201610
13 202110
14 202110
15 20169
16 20109
17 20099
18 20069
19 20168
20 20167

About Dinghui Wu

Dinghui Wu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology, Artificial Intelligence and Mechanical Engineering, having authored 67 papers that have together received 423 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (10 papers), Power Systems and Renewable Energy (10 papers), Fault Detection and Control Systems (9 papers), Wind Turbine Control Systems (8 papers), Control Systems and Identification (7 papers), Microgrid Control and Optimization (7 papers), Adaptive Control of Nonlinear Systems (4 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Control and Systems Engineering (198 citations), Energy Engineering and Power Technology (19 citations), Electrical and Electronic Engineering (189 citations), Artificial Intelligence (82 citations) and Industrial and Manufacturing Engineering (20 citations). Dinghui Wu has collaborated with scholars based in China and United States. Frequent co-authors include Fei Kong, Zhicheng Ji, Yanxia Shen, Cong Gao, Wenzhong Gao, Wen Liu, Wenzhi Zhao, Hui Liu, Shuai Zhang and Ziyun Wang. Their work appears in journals such as Nonlinear Dynamics, IEEE Access, Journal of Control Science and Engineering, International Journal of Systems Science and Mechanical Systems and Signal Processing.

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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