Chia-Fen Hsieh

422 citations
18 papers · 268 indexed · h-index 8
Topics
Network Security and Intrusion Detection (8 papers)Energy Efficient Wireless Sensor Networks (5 papers)Security in Wireless Sensor Networks (5 papers)
Partner nations
Taiwan

In The Last Decade

Chia-Fen Hsieh

17 papers receiving 233 citations

Peers

Chia-Fen Hsieh
Comparison fields: 5 of 57
  • Computer Networks and Communications 161
  • Artificial Intelligence 86
  • Signal Processing 49
  • Immunology 47
  • Molecular Biology 41
Replace Ashwinkumar Ganesan with:
Ashwinkumar Ganesan United States
Diogo Pratas Portugal
Jianfei Wu China
René Quiniou France
Mete Akgün Türkiye
S.M. Bridges United States
Manuel Rodríguez-Martínez Puerto Rico
Fan Cheng China
Felipe Llinares-López Switzerland
Heng Liu China
Chia-Fen Hsieh relative to Ashwinkumar Ganesan United States Ashwinkumar Ganesan's profile →
Citations per field
00.5×7.8×
Ashwinkumar Ganesan · 1×
Citations per year

Countries citing papers authored by Chia-Fen Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Fen Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Fen Hsieh. 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 Chia-Fen Hsieh. The network helps show where Chia-Fen Hsieh may publish in the future.

Co-authorship network of co-authors of Chia-Fen Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Fen Hsieh. A scholar is included among the top collaborators of Chia-Fen Hsieh 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 Chia-Fen Hsieh. Chia-Fen Hsieh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
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3 6
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OPTIMAL CONSENSUS ACHIEVEMENT FOR THE INTERNET OF THINGS BASED ON FOG COMPUTING WITHIN DUAL FAULTY TRANSMISSION MEDIA
0
8 2
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10 12
11 7
12 2
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14 22
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Ranger intrusion detection system for wireless sensor networks with Sybil attack based on ontology
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16 89
17 20
18 66

About Chia-Fen Hsieh

Chia-Fen Hsieh is a scholar working on Computer Networks and Communications, Bioengineering and Signal Processing, having authored 18 papers that have together received 268 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (8 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Security in Wireless Sensor Networks (5 papers). The work is most often cited by research in Computer Networks and Communications (161 citations), Signal Processing (49 citations) and Microbiology (27 citations). Chia-Fen Hsieh has collaborated with scholars based in Taiwan. Frequent co-authors include Rung-Ching Chen, Yinghao Chen, Yung‐Fa Huang, Changli Tu, Shinn-Shyong Tsai, Yang‐Ming Lu, Shu-Ching Wang, Yao‐Te Tsai, Chih-Kai Chang and Mao‐Lun Chiang. Their work appears in journals such as Aquaculture, Materials and Symmetry.

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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