Deqiang Wang

665 total citations
63 papers, 477 citations indexed

About

Deqiang Wang is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deqiang Wang has authored 63 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Electrical and Electronic Engineering, 20 papers in Computer Networks and Communications and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deqiang Wang's work include Ultra-Wideband Communications Technology (13 papers), Advanced MIMO Systems Optimization (9 papers) and Wireless Communication Networks Research (8 papers). Deqiang Wang is often cited by papers focused on Ultra-Wideband Communications Technology (13 papers), Advanced MIMO Systems Optimization (9 papers) and Wireless Communication Networks Research (8 papers). Deqiang Wang collaborates with scholars based in China, United States and Australia. Deqiang Wang's co-authors include Xinyu Tian, Nan Jiang, Fu‐Zhen Xuan, Ming‐Liang Zhu, Jiong Zhang, Jiaxing Wang, Qinghe Zheng, Cheng Peng, Yu Rao and Linsong Cheng and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Energy.

In The Last Decade

Deqiang Wang

55 papers receiving 456 citations

Peers

Deqiang Wang
Comparison fields: 5 of 108
  • Mechanical Engineering 131
  • Electrical and Electronic Engineering 85
  • Civil and Structural Engineering 84
  • Artificial Intelligence 66
  • Computer Vision and Pattern Recognition 63
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David W. Hainsworth Australia View profile →
Citations per field, relative to Deqiang Wang
Deqiang Wang · 1×
Citations per year, relative to Deqiang Wang
Deqiang Wang · 1×

Countries citing papers authored by Deqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Deqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Deqiang Wang. A scholar is included among the top collaborators of Deqiang Wang 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 Deqiang Wang. Deqiang Wang 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 1
3 1
4 19
5 15
6 4
7 1
8 3
9 132
10 15
11 14
12 1
13 1
14 2
15 3
16 47
17
Tuning of PID Controller Parameters Based on Improved Particle Swarm Optimization Algorithm
1
18 3
19 5
20
Rough neural network model for stock market predication
1

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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