Chuanguang Yang

1.6k total citations · 2 hit papers
37 papers, 997 citations indexed

About

Chuanguang Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Chuanguang Yang has authored 37 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 5 papers in Condensed Matter Physics. Recurrent topics in Chuanguang Yang's work include Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Rare-earth and actinide compounds (5 papers). Chuanguang Yang is often cited by papers focused on Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Rare-earth and actinide compounds (5 papers). Chuanguang Yang collaborates with scholars based in China, Japan and Australia. Chuanguang Yang's co-authors include Songquan Wu, Yiliang Gan, Tingting Huang, Yanjin Lu, Jinxin Lin, Zhulin An, Yongjun Xu, Helong Zhou, Peng Zhang and Qian Zhang and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and Acta Materialia.

In The Last Decade

Chuanguang Yang

33 papers receiving 971 citations

Hit Papers

Study on the microstructure, mechanical property and resi... 2015 2026 2018 2022 2015 2022 100 200 300 400

Peers

Chuanguang Yang
Comparison fields: 5 of 85
  • Mechanical Engineering 594
  • Automotive Engineering 339
  • Computer Vision and Pattern Recognition 219
  • Artificial Intelligence 204
  • Materials Chemistry 106
Replace Changchun Zhang with:
Changchun Zhang China
Shuai Shao China
Muhammad Firdaus Akbar Malaysia
Suyu Wang China
Chang‐Hua Lin Taiwan
Jörg Seewig Germany
Yu Yao China
Fen Lin China
Zhuang Xu China
Jinglei Zhao China
Changchun Zhang China View profile →
Citations per field, relative to Chuanguang Yang
Chuanguang Yang · 1×
Citations per year, relative to Chuanguang Yang
Chuanguang Yang · 1×

Countries citing papers authored by Chuanguang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chuanguang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanguang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanguang Yang. A scholar is included among the top collaborators of Chuanguang Yang 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 Chuanguang Yang. Chuanguang Yang 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 5
2 0
3 2
4 0
5 1
6 3
7 0
8 3
9 5
10 48
11 7
12 12
13 31
14 9
15 49
16 10
17 4
18 7
19 2
20 62

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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