Shuo-Tsung Chen

946 citations
67 papers · 679 indexed · h-index 15
Topics
Advanced Steganography and Watermarking Techniques (18 papers)Cloud Computing and Resource Management (17 papers)Digital Media Forensic Detection (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
Partner nations
TaiwanChinaUnited States

In The Last Decade

Shuo-Tsung Chen

66 papers receiving 657 citations

Peers

Shuo-Tsung Chen
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 230
  • Computer Networks and Communications 189
  • Information Systems 130
  • Electrical and Electronic Engineering 77
  • Cardiology and Cardiovascular Medicine 73
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Citations per field
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Citations per year

Countries citing papers authored by Shuo-Tsung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shuo-Tsung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shuo-Tsung Chen. 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 Shuo-Tsung Chen. The network helps show where Shuo-Tsung Chen may publish in the future.

Co-authorship network of co-authors of Shuo-Tsung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo-Tsung Chen. A scholar is included among the top collaborators of Shuo-Tsung Chen 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 Shuo-Tsung Chen. Shuo-Tsung Chen 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 1
3 1
4 6
5 9
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Bounding the Sensing Data Collection Time with Ring-based Routing for Industrial Wireless Sensor Networks
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7 29
8 5
9 29
10 2
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Optimal SNR of Audio Watermarking by Wavelet and Compact PSO Methods.
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12 4
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14 1
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16 7
17 29
18 51
19 1
20 5

About Shuo-Tsung Chen

Shuo-Tsung Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 67 papers that have together received 679 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (18 papers), Cloud Computing and Resource Management (17 papers) and Digital Media Forensic Detection (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Computer Networks and Communications (189 citations) and Information Systems (130 citations). Shuo-Tsung Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chao‐Tung Yang, Huang‐Nan Huang, Jung‐Chun Liu, Woon‐Man Kung, Kuo-Kun Tseng, Walter Den, Endah Kristiani, Yunting Wang, Chih‐Yu Hsu and Muh-Shi Lin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

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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