Chuang Wang

969 total citations · 1 hit paper
38 papers, 580 citations indexed

About

Chuang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Chuang Wang has authored 38 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Aerospace Engineering. Recurrent topics in Chuang Wang's work include Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Theoretical and Computational Physics (3 papers). Chuang Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Theoretical and Computational Physics (3 papers). Chuang Wang collaborates with scholars based in China, United States and United Kingdom. Chuang Wang's co-authors include Cheng‐Lin Liu, Xu-Yao Zhang, Fei Zhu, Fei Yin, Haijun Zhou, Qunying Zhang, Hui Lin, Yongjie Wang, Ruobing Li and Guangyou Fang and has published in prestigious journals such as Nature Communications, Physical Review B and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Chuang Wang

37 papers receiving 566 citations

Hit Papers

Prototype Augmentation and Self-Supervision for Increment... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Chuang Wang
Comparison fields: 5 of 90
  • Artificial Intelligence 328
  • Computer Vision and Pattern Recognition 162
  • Aerospace Engineering 56
  • Electrical and Electronic Engineering 56
  • Computer Networks and Communications 50
Replace Bernhard C. Geiger with:
Bernhard C. Geiger Austria
Yiming Zhou China
Wang Yao China
Hongbing Ji China
Allan Martins Brazil
István Dénes Germany
Yang China
Lidong Liu China
Igor Melnyk Ukraine
Wen Jiang China
Bernhard C. Geiger Austria View profile →
Citations per field, relative to Chuang Wang
Chuang Wang · 1×
Citations per year, relative to Chuang Wang
Chuang Wang · 1×

Countries citing papers authored by Chuang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuang Wang. A scholar is included among the top collaborators of Chuang 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 Chuang Wang. Chuang 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 4
2 1
3 3
4 2
5 9
6 27
7 6
8 14
9 10
10 40
11 3
12 36
13 4
14 12
15
A Solvable High-Dimensional Model of GAN
1
16 2
17 24
18 20
19 16
20 7

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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