Wanyu Deng

1.3k total citations
31 papers, 922 citations indexed

About

Wanyu Deng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wanyu Deng has authored 31 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Wanyu Deng's work include Machine Learning and ELM (17 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Wanyu Deng is often cited by papers focused on Machine Learning and ELM (17 papers), Face and Expression Recognition (13 papers) and Domain Adaptation and Few-Shot Learning (8 papers). Wanyu Deng collaborates with scholars based in China, Singapore and France. Wanyu Deng's co-authors include Qinghua Zheng, Chen Lin, Zhongmin Wang, Yew-Soon Ong, Xuebin Xu, Shiguo Lian, Xin Wang, Lin Chen, Guang-Bin Huang and Zuo Bai and has published in prestigious journals such as IEEE Access, Journal of Environmental Management and Food Research International.

In The Last Decade

Wanyu Deng

29 papers receiving 894 citations

Peers

Wanyu Deng
Comparison fields: 5 of 113
  • Artificial Intelligence 657
  • Computer Vision and Pattern Recognition 256
  • Electrical and Electronic Engineering 204
  • Control and Systems Engineering 70
  • Molecular Biology 68
Replace Khamron Sunat with:
Khamron Sunat Thailand
Musatafa Abbas Abbood Albadr Malaysia
Guoqiang Li China
Wenjie Feng China
Ziyu Hu China
Abdelkader Benyettou Algeria
Yuling Fan China
Ammar Kamal Abasi United Arab Emirates
Khamron Sunat Thailand View profile →
Citations per field, relative to Wanyu Deng
Wanyu Deng · 1×
Citations per year, relative to Wanyu Deng
Wanyu Deng · 1×

Countries citing papers authored by Wanyu Deng

Since Specialization
Citations

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

Fields of papers citing papers by Wanyu Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanyu Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Wanyu Deng. A scholar is included among the top collaborators of Wanyu Deng 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 Wanyu Deng. Wanyu Deng 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 1
2 0
3 1
4 53
5 7
6 4
7 33
8 65
9 7
10 3
11 1
12 31
13 110
14
Human Face Recognition using Multi-Class Projection Extreme Learning Machine
1
15
Speed Up Kernel Projection Vector Machine Using Kronecker Decomposition
0
16 76
17 4
18 5
19 2
20 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026