Chun-Feng Liao

451 total citations
36 papers, 290 citations indexed

About

Chun-Feng Liao is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Chun-Feng Liao has authored 36 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Information Systems. Recurrent topics in Chun-Feng Liao's work include Context-Aware Activity Recognition Systems (16 papers), IoT and Edge/Fog Computing (12 papers) and Service-Oriented Architecture and Web Services (10 papers). Chun-Feng Liao is often cited by papers focused on Context-Aware Activity Recognition Systems (16 papers), IoT and Edge/Fog Computing (12 papers) and Service-Oriented Architecture and Web Services (10 papers). Chun-Feng Liao collaborates with scholars based in Taiwan and United States. Chun-Feng Liao's co-authors include Li‐Chen Fu, Chao-Lin Wu, Kung Chen, Pengyu Chen, Chen-Ho Lai, Jane Yung-jen Hsu, Tsai‐Yen Li, Ying-Ru Chen, Ching-Hu Lu and Yu-Chun Yen and has published in prestigious journals such as Sensors, IEEE Systems Journal and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Chun-Feng Liao

29 papers receiving 268 citations

Peers

Chun-Feng Liao
Comparison fields: 5 of 55
  • Computer Networks and Communications 163
  • Computer Vision and Pattern Recognition 131
  • Information Systems 123
  • Electrical and Electronic Engineering 75
  • Artificial Intelligence 38
Mario Pichler Austria
Abdulatif Alabdulatif Saudi Arabia
Stephan Steglich Germany
Daniel Bimschas Germany
Zia Ul Qayyum Pakistan
K. Selvamani India
Cláudio F. R. Geyer Brazil
Scott Jenson United States
Cássio Prazeres Brazil
Radu Popescu-Zeletin Germany
Mario Pichler Austria View profile →
Citations per field, relative to Chun-Feng Liao
Chun-Feng Liao · 1×
Citations per year, relative to Chun-Feng Liao
Chun-Feng Liao · 1×

Countries citing papers authored by Chun-Feng Liao

Since Specialization
Citations

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

Fields of papers citing papers by Chun-Feng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Feng Liao. 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 Chun-Feng Liao. The network helps show where Chun-Feng Liao may publish in the future.

Co-authorship network of co-authors of Chun-Feng Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Feng Liao. A scholar is included among the top collaborators of Chun-Feng Liao 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 Chun-Feng Liao. Chun-Feng Liao 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
# Work Indexed citations
1 0
2 0
3 0
4 0
5 0
6 6
7 6
8 1
9 8
10 19
11 0
12 2
13 1
14 2
15 2
16 3
17 12
18
Real-Time Fine-Grained Multiple-Target Tracking on an Extensible Virtual Fab Architecture Using Multi-Agents
3
19 1
20 5

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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2026