Wenqi Wang

472 total citations
22 papers, 270 citations indexed

About

Wenqi Wang is a scholar working on Artificial Intelligence, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Wenqi Wang has authored 22 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 8 papers in Signal Processing and 3 papers in Computer Networks and Communications. Recurrent topics in Wenqi Wang's work include Advanced Malware Detection Techniques (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Topic Modeling (4 papers). Wenqi Wang is often cited by papers focused on Advanced Malware Detection Techniques (8 papers), Adversarial Robustness in Machine Learning (7 papers) and Topic Modeling (4 papers). Wenqi Wang collaborates with scholars based in China, United States and Israel. Wenqi Wang's co-authors include Run Wang, Lina Wang, Kun Yan, Si Wu, Fuyuan Ding, Hongbing Deng, Yumin Du, Xiaowen Shi, Zhibo Wang and Xinghai Liu and has published in prestigious journals such as Carbohydrate Polymers, IEEE Access and Neurocomputing.

In The Last Decade

Wenqi Wang

22 papers receiving 260 citations

Peers

Wenqi Wang
Comparison fields: 5 of 72
  • Artificial Intelligence 113
  • Biomaterials 69
  • Biomedical Engineering 60
  • Signal Processing 40
  • Computer Vision and Pattern Recognition 23
Replace Fuqiang Yu with:
Fuqiang Yu China
Ruth Ramya Kalangi India
Francisco Chávez Spain
Gaurav Tewari India
Ravindra Chaudhari India
Hendrawan Hendrawan Indonesia
Yujia Zhou China
Cong Wu China
Jiaying Chen China
Yingchao Wang China
Fuqiang Yu China View profile →
Citations per field, relative to Wenqi Wang
Wenqi Wang · 1×
Citations per year, relative to Wenqi Wang
Wenqi Wang · 1×

Countries citing papers authored by Wenqi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wenqi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenqi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wenqi Wang. A scholar is included among the top collaborators of Wenqi 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 Wenqi Wang. Wenqi 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 9
2 39
3 1
4 3
5 4
6 11
7 15
8 9
9 4
10 8
11
A Survey: Towards a Robust Deep Neural Network in Text Domain
2
12
Towards a Robust Deep Neural Network in Text Domain A Survey
2
13
A survey on Adversarial Attacks and Defenses in Text.
16
14
Topic compositional neural language model
16
15 77
16 38
17 10
18 1
19 1
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.

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