Cheng-Hsiung Hsu

942 citations
75 papers · 696 indexed · h-index 15
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (41 papers)Neural Networks Stability and Synchronization (24 papers)Nonlinear Dynamics and Pattern Formation (22 papers)
Partner nations
TaiwanChinaCanada

In The Last Decade

Cheng-Hsiung Hsu

70 papers receiving 663 citations

Peers

Cheng-Hsiung Hsu
Comparison fields: 5 of 44
  • Public Health, Environmental and Occupational Health 396
  • Computer Networks and Communications 270
  • Modeling and Simulation 211
  • Genetics 173
  • Applied Mathematics 167
Replace Guangying Lv with:
Guangying Lv China
Adam Chmaj United States
James Nolen United States
Franz Rothe Germany
Yuzhen Bai China
Lev Idels Canada
Yukio Kan-on Japan
Reza Khoshsiar Ghaziani Iran
Manjun Ma China
Cheng-Hsiung Hsu relative to Guangying Lv China Guangying Lv's profile →
Citations per field
00.5×3.0×
Guangying Lv · 1×
Citations per year

Countries citing papers authored by Cheng-Hsiung Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Hsiung Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Hsiung Hsu. 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 Cheng-Hsiung Hsu. The network helps show where Cheng-Hsiung Hsu may publish in the future.

Co-authorship network of co-authors of Cheng-Hsiung Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Hsiung Hsu. A scholar is included among the top collaborators of Cheng-Hsiung Hsu 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 Cheng-Hsiung Hsu. Cheng-Hsiung Hsu 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
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5 25
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8 1
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10 29
11 9
12 14
13 7
14 7
15 4
16 1
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18 43
19 5
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USE OF QUASILINEARIZATION FOR THE SOLUTION OF NONLINEAR SPACE-DEPENDENT REACTOR EQUATIONS.
2

About Cheng-Hsiung Hsu

Cheng-Hsiung Hsu is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 75 papers that have together received 696 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (41 papers), Neural Networks Stability and Synchronization (24 papers) and Nonlinear Dynamics and Pattern Formation (22 papers). The work is most often cited by research in Modeling and Simulation (211 citations), Applied Mathematics (167 citations) and Public Health, Environmental and Occupational Health (396 citations). Cheng-Hsiung Hsu has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Shi-Liang Wu, Yu Yang, Ting‐Hui Yang, Suh‐Yuh Yang, Tetu Makino, Wenxian Shen, Weishi Liu, Yanyu Xiao, Song-Sun Lin and Lan Zou. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Archive for Rational Mechanics and Analysis.

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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