Li-Yuan Chang

782 total citations
15 papers, 549 citations indexed

About

Li-Yuan Chang is a scholar working on Immunology, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Li-Yuan Chang has authored 15 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Li-Yuan Chang's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Li-Yuan Chang is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). Li-Yuan Chang collaborates with scholars based in Taiwan, United States and Germany. Li-Yuan Chang's co-authors include Ching‐Tai Huang, Yung‐Chang Lin, Chun‐Yen Lin, Avijit Dutta, Jayashri Mahalingam, Chiao-Wen Kang, Yu‐Yi Chu, Tse‐Ching Chen, Chau‐Ting Yeh and Huimin Peng and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Scientific Reports.

In The Last Decade

Li-Yuan Chang

15 papers receiving 542 citations

Peers

Li-Yuan Chang
Comparison fields: 5 of 87
  • Immunology 362
  • Oncology 269
  • Molecular Biology 86
  • Computer Networks and Communications 45
  • Cancer Research 36
Replace Xingru Li with:
Xingru Li China
Keshu Liu China
Yongheng Liu China
Jianan Lou China
Jianting Xu China
Thomas Menzel Germany
Yoshiaki Okubo Japan
Zijun Zhao China
Ivo Shterev United States
Shinya Sakata Japan
Xingru Li China View profile →
Citations per field, relative to Li-Yuan Chang
Li-Yuan Chang · 1×
Citations per year, relative to Li-Yuan Chang
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Countries citing papers authored by Li-Yuan Chang

Since Specialization
Citations

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

Fields of papers citing papers by Li-Yuan Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Yuan Chang

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 11
2 16
3 136
4 5
5 48
6 189
7 36
8 5
9 3
10 3
11 42
12 3
13 26
14 9
15 17

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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