Wenyi Tang

1.2k total citations · 1 hit paper
57 papers, 736 citations indexed

About

Wenyi Tang is a scholar working on Artificial Intelligence, Information Systems and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Wenyi Tang has authored 57 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Wenyi Tang's work include Advanced Photocatalysis Techniques (10 papers), Privacy-Preserving Technologies in Data (8 papers) and Blockchain Technology Applications and Security (6 papers). Wenyi Tang is often cited by papers focused on Advanced Photocatalysis Techniques (10 papers), Privacy-Preserving Technologies in Data (8 papers) and Blockchain Technology Applications and Security (6 papers). Wenyi Tang collaborates with scholars based in China, United States and South Korea. Wenyi Tang's co-authors include Guangzhao Wang, Junli Chang, Wenjie Xie, Yee Sin Ang, Peng Gao, Hao Guo, Hongkuan Yuan, Suihu Dang, Biao Wang and Guangchun Luo and has published in prestigious journals such as Physical Chemistry Chemical Physics, International Journal of Hydrogen Energy and Journal of Environmental Management.

In The Last Decade

Wenyi Tang

48 papers receiving 730 citations

Hit Papers

Machine learning and multi-omics integration: advancing c... 2025 2026 2025 5 10 15 20 25

Peers

Wenyi Tang
Comparison fields: 5 of 96
  • Materials Chemistry 454
  • Renewable Energy, Sustainability and the Environment 354
  • Electrical and Electronic Engineering 186
  • Electronic, Optical and Magnetic Materials 67
  • Artificial Intelligence 65
Kaiqiang Xu China
Boying Zhang China
Ziming Zhao China
Huan Ma China
Qiaoqiao Li China
Pingchuan Ma China
V. Anbarasu India
Zhijie Zhang China
Muhammad Shoaib Akhtar China
Shuyi Zhang China
Kaiqiang Xu China View profile →
Citations per field, relative to Wenyi Tang
Wenyi Tang · 1×
Citations per year, relative to Wenyi Tang
Wenyi Tang · 1×

Countries citing papers authored by Wenyi Tang

Since Specialization
Citations

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

Fields of papers citing papers by Wenyi Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyi Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyi Tang. A scholar is included among the top collaborators of Wenyi Tang 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 Wenyi Tang. Wenyi Tang 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
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice breakdown →
25
4 0
5 0
6 2
7 5
8 0
9 1
10 2
11 1
12 1
13 17
14 3
15 63
16 46
17 17
18 17
19 8
20 20

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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