Chang‐Yun Lin

1.6k total citations
29 papers, 279 citations indexed

About

Chang‐Yun Lin is a scholar working on Management Science and Operations Research, Computational Theory and Mathematics and Statistics and Probability. According to data from OpenAlex, Chang‐Yun Lin has authored 29 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 15 papers in Computational Theory and Mathematics and 10 papers in Statistics and Probability. Recurrent topics in Chang‐Yun Lin's work include Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Statistical Methods in Clinical Trials (7 papers). Chang‐Yun Lin is often cited by papers focused on Optimal Experimental Design Methods (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Statistical Methods in Clinical Trials (7 papers). Chang‐Yun Lin collaborates with scholars based in Taiwan, United States and Canada. Chang‐Yun Lin's co-authors include Tao Wang, Kenny Ye, Guan Xing, Chao Xing, Jeffrey K. Griffith, Jeffrey W. Pollard, Clifford Qualls, Harriet O. Smith, Elizabeth M. Burton and Thomas E. Rohan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and Infection and Immunity.

In The Last Decade

Chang‐Yun Lin

27 papers receiving 270 citations

Peers

Chang‐Yun Lin
Comparison fields: 5 of 76
  • Management Science and Operations Research 102
  • Computational Theory and Mathematics 67
  • Statistics and Probability 53
  • Genetics 52
  • Molecular Biology 50
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Suntara Cahya United States View profile →
Citations per field, relative to Chang‐Yun Lin
Chang‐Yun Lin · 1×
Citations per year, relative to Chang‐Yun Lin
Chang‐Yun Lin · 1×

Countries citing papers authored by Chang‐Yun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Yun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Yun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Yun Lin. A scholar is included among the top collaborators of Chang‐Yun Lin 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 Chang‐Yun Lin. Chang‐Yun Lin 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 0
2 2
3 1
4 2
5 7
6 10
7 7
8 3
9 10
10 12
11 22
12 5
13 10
14 51
15 5
16 18
17 6
18 30
19 6
20 19

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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