Ting‐Hui Yang

26 papers receiving 469 citations

Peers

Ting‐Hui Yang
Comparison fields: 5 of 61
  • Modeling and Simulation 77
  • Public Health, Environmental and Occupational Health 231
  • Computer Networks and Communications 205
  • Statistical and Nonlinear Physics 81
  • Genetics 157
Replace M.L. Hbid with:
M.L. Hbid Morocco
Zhanyuan Hou United Kingdom
Dang H. Nguyen United States
Yi Song China
Yuanfu Shao China
Dejun Fan China
Huidong Cheng China
Changcheng Xiang China
Chang-Hong Wu Taiwan
Ting‐Hui Yang relative to M.L. Hbid Morocco M.L. Hbid's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ting‐Hui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ting‐Hui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting‐Hui Yang. 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 Ting‐Hui Yang. The network helps show where Ting‐Hui Yang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ting‐Hui Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ting‐Hui Yang Line = papers co-authored together Ting‐Hui Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002155
2 201585
3 201158
4 201327
5 202024
6 201523
7 202416
8 201912
9 201711
10 202411
11 202311
12 20169
13 20097
14 20097
15 20247
16 20026
17 20226
18 20143
19 20043
20 20103

About Ting‐Hui Yang

Ting‐Hui Yang is a scholar working on Public Health, Environmental and Occupational Health, Computer Networks and Communications, Statistical and Nonlinear Physics, Genetics and Sociology and Political Science, having authored 29 papers that have together received 492 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Evolution and Genetic Dynamics (6 papers), Neural Networks Stability and Synchronization (6 papers), stochastic dynamics and bifurcation (6 papers), Nonlinear Dynamics and Pattern Formation (5 papers), Evolutionary Game Theory and Cooperation (4 papers), CO2 Reduction Techniques and Catalysts (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Modeling and Simulation (77 citations), Public Health, Environmental and Occupational Health (231 citations), Computer Networks and Communications (205 citations), Statistical and Nonlinear Physics (81 citations) and Genetics (157 citations). Ting‐Hui Yang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Leon O. Chua, Chai Wah Wu, Shigui Ruan, Cheng-Hsiung Hsu, Sze-Bi Hsu, Jianping Yang, Min Kuang, Weiming Wang, Caidi Zhao and Miao Yu. Their work appears in journals such as Discrete and Continuous Dynamical Systems - B, International Journal of Bifurcation and Chaos, Journal of Differential Equations, International Journal of Biomathematics and Mathematical Methods in the Applied Sciences.

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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