Neng‐Sheng Pai

727 citations
64 papers · 527 indexed · h-index 12
Topics
Chaos control and synchronization (11 papers)Advanced Steganography and Watermarking Techniques (8 papers)Nonlinear Dynamics and Pattern Formation (7 papers)
Partner nations
TaiwanYemen

In The Last Decade

Neng‐Sheng Pai

63 papers receiving 501 citations

Peers

Neng‐Sheng Pai
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 160
  • Control and Systems Engineering 145
  • Statistical and Nonlinear Physics 104
  • Artificial Intelligence 91
  • Computer Networks and Communications 79
Replace Muhammad Usman Rafique with:
Muhammad Usman Rafique United States
D. López-Mancilla Mexico
Lingdong Kong China
Israel Cruz-Vega Mexico
Javier Echanobe Spain
Tsung‐Chih Lin Taiwan
Gangquan Si China
Jiexin Pu China
Zhengtai Xie China
Neng‐Sheng Pai relative to Muhammad Usman Rafique United States Muhammad Usman Rafique's profile →
Citations per field
00.5×5.8×
Muhammad Usman Rafique · 1×
Citations per year

Countries citing papers authored by Neng‐Sheng Pai

Since Specialization
Citations

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

Fields of papers citing papers by Neng‐Sheng Pai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neng‐Sheng Pai. 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 Neng‐Sheng Pai. The network helps show where Neng‐Sheng Pai may publish in the future.

Co-authorship network of co-authors of Neng‐Sheng Pai

This figure shows the co-authorship network connecting the top 25 collaborators of Neng‐Sheng Pai. A scholar is included among the top collaborators of Neng‐Sheng Pai 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 Neng‐Sheng Pai. Neng‐Sheng Pai 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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2 0
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4 10
5 19
6 2
7 22
8 1
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10 1
11 7
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13 5
14 6
15 5
16 55
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About Neng‐Sheng Pai

Neng‐Sheng Pai is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Media Technology, having authored 64 papers that have together received 527 indexed citations. Recurring topics across this work include Chaos control and synchronization (11 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (104 citations), Computer Vision and Pattern Recognition (160 citations) and Control and Systems Engineering (145 citations). Neng‐Sheng Pai has collaborated with scholars based in Taiwan and Yemen. Frequent co-authors include Her‐Terng Yau, Pi-Yun Chen, Chia‐Hung Lin, Cheng‐Chi Wang, Chao‐Lin Kuo, Jian‐Xing Wu, Chien‐Ming Li, Ming-Jyi Jang, David T.W. Lin and Chia-Hung Lin. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.

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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