Deyu Tang

922 citations
47 papers · 725 · h-index 17

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Internet Traffic Analysis and Secure E-voting
    • Imbalanced Data Classification Techniques
    • Advanced Multi-Objective Optimization Algorithms

Papers in

Deyu Tang

46 papers receiving 711 citations

Peers

Deyu Tang
Comparison fields: 5 of 110
  • Artificial Intelligence 394
  • Computational Theory and Mathematics 152
  • Computer Networks and Communications 115
  • Modeling and Simulation 17
  • Computer Vision and Pattern Recognition 66
Replace S. Siva Sathya with:
S. Siva Sathya India
Răzvan Andonie United States
Jingbo Zhou China
Li Cao China
Michal Pluháček Czechia
Xingwang Zhao China
Lishan Kang China
Roman Neruda Czechia
Lars Nolle United Kingdom
Deyu Tang relative to S. Siva Sathya India S. Siva Sathya's profile →
Citations per field
00.5×4.7×
S. Siva Sathya · 1×
Citations per year

Countries citing papers authored by Deyu Tang

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Deyu Tang, 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 Deyu Tang Line = papers co-authored together Deyu Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201977
2 201467
3 201564
4 201643
5 201738
6 201936
7 202329
8 202324
9 201624
10 201824
11 202323
12 201821
13 201620
14 202020
15 201919
16 202116
17 201916
18 201815
19 201814
20 202413

About Deyu Tang

Deyu Tang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Biomedical Engineering and Materials Chemistry, having authored 47 papers that have together received 725 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (13 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Internet Traffic Analysis and Secure E-voting (6 papers), Evolutionary Algorithms and Applications (5 papers), Network Security and Intrusion Detection (5 papers), Advanced Malware Detection Techniques (4 papers), Imbalanced Data Classification Techniques (4 papers) and Adsorption and biosorption for pollutant removal (3 papers). The work is most often cited by research in Artificial Intelligence (394 citations), Computational Theory and Mathematics (152 citations), Computer Networks and Communications (115 citations), Modeling and Simulation (17 citations) and Computer Vision and Pattern Recognition (66 citations). Deyu Tang has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Yongming Cai, Jie Zhao, Shoubin Dong, Zhen Liu, Ruoyu Wang, Yun Xue, Yi Jiang, Qing‐han Zhou, Huan Li and Zhen Liu. Their work appears in journals such as Neural Computing and Applications, International Journal of Biological Macromolecules, Applied Soft Computing, Information Sciences and Applied Intelligence.

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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