Dehua Zhang

1.1k total citations · 1 hit paper
72 papers, 552 citations indexed

About

Dehua Zhang is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Dehua Zhang has authored 72 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 26 papers in Control and Systems Engineering and 16 papers in Artificial Intelligence. Recurrent topics in Dehua Zhang's work include Adaptive Dynamic Programming Control (28 papers), Adaptive Control of Nonlinear Systems (21 papers) and Reinforcement Learning in Robotics (6 papers). Dehua Zhang is often cited by papers focused on Adaptive Dynamic Programming Control (28 papers), Adaptive Control of Nonlinear Systems (21 papers) and Reinforcement Learning in Robotics (6 papers). Dehua Zhang collaborates with scholars based in China, United States and Singapore. Dehua Zhang's co-authors include Chunbin Qin, Wei Liu, Ding Wang, Bo Zhao, Qinglai Wei, Nianjun Teng, Derong Liu, Ze Wu, Yandong Hou and Yuchen Wang and has published in prestigious journals such as Scientific Reports, IEEE Access and Frontiers in Plant Science.

In The Last Decade

Dehua Zhang

60 papers receiving 530 citations

Hit Papers

An efficient lightweight convolutional neural network for... 2023 2026 2024 2025 2023 25 50 75

Peers

Dehua Zhang
Comparison fields: 5 of 86
  • Computational Theory and Mathematics 144
  • Control and Systems Engineering 139
  • Computer Vision and Pattern Recognition 106
  • Industrial and Manufacturing Engineering 96
  • Artificial Intelligence 94
Replace Hongyang Li with:
Hongyang Li China
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Hongyang Li China View profile →
Citations per field, relative to Dehua Zhang
Dehua Zhang · 1×
Citations per year, relative to Dehua Zhang
Dehua Zhang · 1×

Countries citing papers authored by Dehua Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Dehua Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dehua Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Dehua Zhang. A scholar is included among the top collaborators of Dehua Zhang 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 Dehua Zhang. Dehua Zhang 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
# Work Indexed citations
1 2
2 0
3 4
4 2
5 8
6 0
7 1
8 2
9 0
10 2
11 10
12 2
13 5
14 2
15 12
16 13
17 3
18 1
19 3
20
Design and Implementation of Information Exchange System Based on XML
0

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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