Wenlin Wang

2.2k total citations
49 papers, 1.2k citations indexed

About

Wenlin Wang is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Condensed Matter Physics. According to data from OpenAlex, Wenlin Wang has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 7 papers in Condensed Matter Physics. Recurrent topics in Wenlin Wang's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Photocatalysis Techniques (7 papers). Wenlin Wang is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Photocatalysis Techniques (7 papers). Wenlin Wang collaborates with scholars based in China, United States and United Kingdom. Wenlin Wang's co-authors include Lawrence Carin, Guoyin Wang, Dinghan Shen, Yizhe Zhang, Ricardo Henao, Xinyuan Zhang, Chunyuan Li, Can‐Li Song, Xu-Cun Ma and Hao Ding and has published in prestigious journals such as Physical Review Letters, Journal of Colloid and Interface Science and Carbohydrate Polymers.

In The Last Decade

Wenlin Wang

45 papers receiving 1.1k citations

Peers

Wenlin Wang
Comparison fields: 5 of 108
  • Artificial Intelligence 640
  • Condensed Matter Physics 216
  • Materials Chemistry 193
  • Electronic, Optical and Magnetic Materials 175
  • Computer Vision and Pattern Recognition 128
Replace Qingyun Liu with:
Qingyun Liu China
Vahe Tshitoyan United States
Takeshi Shinohara Japan
Yuanchun Li China
Yaojie Lu China
Xiaocong Zhou China
Stanley Chen United States
Ching‐Hui Chen United States
Woonghee Lee South Korea
Chi Hong Leung Hong Kong
Qingyun Liu China View profile →
Citations per field, relative to Wenlin Wang
Wenlin Wang · 1×
Citations per year, relative to Wenlin Wang
Wenlin Wang · 1×

Countries citing papers authored by Wenlin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenlin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenlin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenlin Wang. A scholar is included among the top collaborators of Wenlin 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 Wenlin Wang. Wenlin 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 0
2 1
3 7
4 6
5 0
6 13
7 16
8 4
9 18
10 4
11 2
12 8
13
Certified Adversarial Robustness with Additive Noise
62
14 269
15
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.
2
16
Topic compositional neural language model
16
17
Certified Adversarial Robustness with Additive Gaussian Noise
3
18 184
19 79
20 26

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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2026