Yu-Tien Chang

522 citations
31 papers · 300 indexed · h-index 9
Topics
Bioinformatics and Genomic Networks (5 papers)Cancer-related molecular mechanisms research (4 papers)Gene expression and cancer classification (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
Partner nations
TaiwanGermanySouth Korea

In The Last Decade

Yu-Tien Chang

28 papers receiving 296 citations

Peers

Yu-Tien Chang
Comparison fields: 5 of 90
  • Molecular Biology 151
  • Cancer Research 70
  • Oncology 54
  • Pulmonary and Respiratory Medicine 45
  • Artificial Intelligence 31
Replace Niklas Gremke with:
Niklas Gremke Germany
Xuehang Jin China
Mingxuan Xie China
Susan Doyle-Lindrud United States
Fernando Kude de Almeida Brazil
Alison Acevedo United States
Simona Baselice Italy
Tran Diem Nghi Vietnam
Hanzhe Zhang China
Elham Nazari Iran
Yu-Tien Chang relative to Niklas Gremke Germany Niklas Gremke's profile →
Citations per field
00.5×2.9×
Niklas Gremke · 1×
Citations per year

Countries citing papers authored by Yu-Tien Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Tien Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Tien Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Tien Chang. A scholar is included among the top collaborators of Yu-Tien 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 Yu-Tien Chang. Yu-Tien 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
#WorkIndexed citations
1 1
2 0
3 2
4 2
5 1
6 2
7 28
8 3
9 1
10 2
11 7
12 17
13 3
14 4
15 7
16 32
17 4
18 32
19 23
20 16

About Yu-Tien Chang

Yu-Tien Chang is a scholar working on Health Informatics, Cancer Research and Applied Psychology, having authored 31 papers that have together received 300 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Cancer-related molecular mechanisms research (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Informatics (27 citations), Cancer Research (70 citations) and Family Practice (5 citations). Yu-Tien Chang has collaborated with scholars based in Taiwan, Germany and South Korea. Frequent co-authors include Chi‐Ming Chu, Chi‐Wen Chang, Sui‐Lung Su, Je‐Ming Hu, Feng‐Cheng Liu, Chia‐Yi Lee, Chung‐Tay Yao, Thomas C. Wetter, Kang‐Hua Chen and Chia‐Cheng Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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