Yuan Chiang

633 total citations · 1 hit paper
13 papers, 129 citations indexed

About

Yuan Chiang is a scholar working on Materials Chemistry, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuan Chiang has authored 13 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Materials Chemistry, 2 papers in Civil and Structural Engineering and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuan Chiang's work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (2 papers) and Advanced Image Processing Techniques (2 papers). Yuan Chiang is often cited by papers focused on Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (2 papers) and Advanced Image Processing Techniques (2 papers). Yuan Chiang collaborates with scholars based in Taiwan, United States and United Kingdom. Yuan Chiang's co-authors include Shu‐Wei Chang, Alpha A. Lee, Rhys E. A. Goodall, Philipp Benner, Anubhav Jain, Kristin A. Persson, Ting-Wai Chiu, Janosh Riebesell, Bowen Deng and Gerbrand Ceder and has published in prestigious journals such as Cement and Concrete Research, Sensors and Composite Structures.

In The Last Decade

Yuan Chiang

11 papers receiving 127 citations

Hit Papers

A framework to evaluate machine learning crystal stabilit... 2025 2026 2025 5 10 15 20 25

Peers

Yuan Chiang
Comparison fields: 5 of 52
  • Materials Chemistry 53
  • Civil and Structural Engineering 38
  • Mechanical Engineering 18
  • Computer Vision and Pattern Recognition 15
  • Media Technology 12
Replace Hanyu Deng with:
Hanyu Deng China
Y. Ke China
Frank Gommer United Kingdom
Klemens Rother Germany
J. W. Zhao China
A. Naylor United Kingdom
J. Fox United States
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Shalom Akhai India
Roman Khmil Ukraine
Hanyu Deng China View profile →
Citations per field, relative to Yuan Chiang
Yuan Chiang · 1×
Citations per year, relative to Yuan Chiang
Yuan Chiang · 1×

Countries citing papers authored by Yuan Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Chiang. A scholar is included among the top collaborators of Yuan Chiang 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 Yuan Chiang. Yuan Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2
A framework to evaluate machine learning crystal stability predictions breakdown →
29
3 1
4 0
5 4
6 8
7 6
8 9
9 5
10 37
11 13
12 16
13 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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