Yan Chang

545 total citations
49 papers, 329 citations indexed

About

Yan Chang is a scholar working on Artificial Intelligence, Molecular Biology and Mechanics of Materials. According to data from OpenAlex, Yan Chang has authored 49 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Mechanics of Materials. Recurrent topics in Yan Chang's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Numerical methods in inverse problems (3 papers). Yan Chang is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (6 papers) and Numerical methods in inverse problems (3 papers). Yan Chang collaborates with scholars based in China, United States and Hong Kong. Yan Chang's co-authors include Bo Yan, Chuang Wang, Zhenyu Zhang, Hanwen Kang, Sheng Huang, Yinpeng Qu, Guoying Zhang, Zhensheng Shi, Shibin Zhang and Dazhong Dong and has published in prestigious journals such as Chemistry of Materials, The Science of The Total Environment and Journal of Computational Physics.

In The Last Decade

Yan Chang

42 papers receiving 315 citations

Peers

Yan Chang
Comparison fields: 5 of 103
  • Mechanics of Materials 61
  • Artificial Intelligence 47
  • Electrical and Electronic Engineering 42
  • Mechanical Engineering 40
  • Ocean Engineering 34
Replace Michael Schwarz with:
Michael Schwarz Germany
Jan Kozák Czechia
John Zhu Singapore
Yu‐Ting Kuo Taiwan
Zhiqiang Feng China
Shaokun Wang China
Michael Schwarz Germany View profile →
Citations per field, relative to Yan Chang
Yan Chang · 1×
Citations per year, relative to Yan Chang
Yan Chang · 1×

Countries citing papers authored by Yan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Chang. A scholar is included among the top collaborators of Yan Chang 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 Yan Chang. Yan Chang 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 1
2 0
3 0
4 1
5 2
6 1
7 2
8 1
9 3
10 10
11 10
12 1
13 1
14 4
15 2
16 12
17 0
18
四級ウルツ鉱型ナノ結晶から調製される6%の電力変換効率をもつ準スルフィドCu 2 ZnSnO 4 太陽電池に対する相および組成制御を可能とするための鍵となる因子の理解
19
19
Chinese College Students' Self Regulated Learning Strategies and Self-Efficacy Beliefs in Learning English as a Foreign Language.
31
20
The existence spectrum of Meta(K_4~((3))>K_4~((3))-e)
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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