Hsin‐Hung Cho

666 citations
47 papers · 459 indexed · h-index 12
Topics
IoT and Edge/Fog Computing (11 papers)Energy Harvesting in Wireless Networks (7 papers)Energy Efficient Wireless Sensor Networks (7 papers)
Partner nations
TaiwanChinaMalaysia

In The Last Decade

Hsin‐Hung Cho

42 papers receiving 434 citations

Peers

Hsin‐Hung Cho
Comparison fields: 5 of 67
  • Computer Networks and Communications 281
  • Electrical and Electronic Engineering 175
  • Plant Science 64
  • Information Systems 64
  • Artificial Intelligence 44
Replace U. Sakthi with:
U. Sakthi India
Yuwang Yang China
Sung-Chan Choi South Korea
Muhammad Aamir Pakistan
Zerina Kapetanovic United States
S. Ramalingam India
Edmond Nurellari United Kingdom
Najmul Hassan Malaysia
Mobasshir Mahbub Bangladesh
Anna Triantafyllou Greece
Hsin‐Hung Cho relative to U. Sakthi India U. Sakthi's profile →
Citations per field
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U. Sakthi · 1×
Citations per year

Countries citing papers authored by Hsin‐Hung Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hsin‐Hung Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐Hung Cho. 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 Hsin‐Hung Cho. The network helps show where Hsin‐Hung Cho may publish in the future.

Co-authorship network of co-authors of Hsin‐Hung Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin‐Hung Cho. A scholar is included among the top collaborators of Hsin‐Hung Cho 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 Hsin‐Hung Cho. Hsin‐Hung Cho 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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5 0
6 2
7 2
8 2
9
Feature Engineering and Evaluation for Android Malware Detection Scheme
5
10 5
11 2
12
Optimal Route Planning System for Logistics Vehicles Based on Artificial Intelligence
18
13
Low-Rate Denial-of-Service detection based on Convolutional Neural Network
3
14 12
15 40
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17 4
18
Initialization of Software Defined Wireless Bacteria-Inspired Network Platform.
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19 10
20 8

About Hsin‐Hung Cho

Hsin‐Hung Cho is a scholar working on Computer Networks and Communications, Signal Processing and Electrical and Electronic Engineering, having authored 47 papers that have together received 459 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (11 papers), Energy Harvesting in Wireless Networks (7 papers) and Energy Efficient Wireless Sensor Networks (7 papers). The work is most often cited by research in Computer Networks and Communications (281 citations), Electrical and Electronic Engineering (175 citations) and Information Systems (64 citations). Hsin‐Hung Cho has collaborated with scholars based in Taiwan, China and Malaysia. Frequent co-authors include Fan‐Hsun Tseng, Han‐Chieh Chao, Timothy K. Shih, Hsin‐Te Wu, Chi‐Yuan Chen, Wei-Che Chien, Chin‐Feng Lai, Jeng‐Shyang Pan, Chun‐Wei Tsai and Joel J. P. C. Rodrigues. Their work appears in journals such as IEEE Access, IEEE Internet of Things Journal and IEEE Wireless Communications.

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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