Yu-Tai Chang

669 citations
23 papers · 508 indexed · h-index 13
Topics
Digital Filter Design and Implementation (8 papers)Image and Signal Denoising Methods (4 papers)Advanced Manufacturing and Logistics Optimization (3 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Yu-Tai Chang

19 papers receiving 480 citations

Peers

Yu-Tai Chang
Comparison fields: 5 of 71
  • Industrial and Manufacturing Engineering 206
  • Molecular Biology 108
  • Signal Processing 100
  • Computer Networks and Communications 78
  • Computer Vision and Pattern Recognition 55
Replace Michael S. Adamowicz with:
Michael S. Adamowicz United States
Robert B. Heckendorn United States
Luyang Liu China
Y. Alp Aslandogan United States
Huai‐Kuang Tsai Taiwan
Wim Verhaegh Netherlands
Yuhang Liu China
Jaemin Jo South Korea
Shinsuke Tamura Japan
Yu-Tai Chang relative to Michael S. Adamowicz United States Michael S. Adamowicz's profile →
Citations per field
00.5×4.2×
Michael S. Adamowicz · 1×
Citations per year

Countries citing papers authored by Yu-Tai Chang

Since Specialization
Citations

This map shows the geographic impact of Yu-Tai 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-Tai 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-Tai Chang more than expected).

Fields of papers citing papers by Yu-Tai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Tai Chang. A scholar is included among the top collaborators of Yu-Tai 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-Tai Chang. Yu-Tai 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 21
2 2
3 5
4 12
5 50
6 35
7 19
8
Telemedicine offers transnational burn patient care to Sao Tome
1
9 33
10 0
11 0
12 4
13 33
14 21
15 21
16 2
17 36
18 7
19 138
20 42

About Yu-Tai Chang

Yu-Tai Chang is a scholar working on Aging, Signal Processing and Industrial and Manufacturing Engineering, having authored 23 papers that have together received 508 indexed citations. Recurring topics across this work include Digital Filter Design and Implementation (8 papers), Image and Signal Denoising Methods (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (206 citations), Signal Processing (100 citations) and Aging (15 citations). Yu-Tai Chang has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Uttarayan Bagchi, Chin-Liang Wang, Robert S. Sullivan, Asoo J. Vakharia, James R. Wilson, Daniel A. Starr, William Matsui, Shaun Murphy, Wen Chang and Ming-Jer Young. Their work appears in journals such as Development, Cell Metabolism and Journal of Virology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026