Gwo‐Jong Yu

2.1k citations
30 papers · 1.5k indexed · 1 hit paper · h-index 10
Topics
Energy Efficient Wireless Sensor Networks (10 papers)Mobile Ad Hoc Networks (9 papers)Opportunistic and Delay-Tolerant Networks (8 papers)
Partner nations
TaiwanChinaIndia

In The Last Decade

Gwo‐Jong Yu

29 papers receiving 1.4k citations

Hit Papers

A new LDA-based face recognition system which can solve t...200020262008201720002505007501000

Peers

Gwo‐Jong Yu
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 1.0k
  • Signal Processing 328
  • Artificial Intelligence 279
  • Computer Networks and Communications 222
  • Media Technology 207
Replace Jar‐Ferr Yang with:
Jar‐Ferr Yang Taiwan
Baozong Yuan China
Cheong Hee Park South Korea
Lide Wu China
Baback Moghaddam United States
Cairong Zou China
M.C. Fairhurst United Kingdom
Imran Naseem Pakistan
D.L. Swets United States
Jamuna Kanta Sing India
Gwo‐Jong Yu relative to Jar‐Ferr Yang Taiwan Jar‐Ferr Yang's profile →
Citations per field
00.5×1.5×1.8×
Jar‐Ferr Yang · 1×
Citations per year

Countries citing papers authored by Gwo‐Jong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Gwo‐Jong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwo‐Jong Yu. 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 Gwo‐Jong Yu. The network helps show where Gwo‐Jong Yu may publish in the future.

Co-authorship network of co-authors of Gwo‐Jong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Gwo‐Jong Yu. A scholar is included among the top collaborators of Gwo‐Jong Yu 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 Gwo‐Jong Yu. Gwo‐Jong Yu 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
1 0
2 8
3 5
4 9
5 6
6 13
7 2
8 9
9 59
10 1
11 8
12 5
13 5
14 3
15 19
16 7
17 2
18 100
19 2
20
Face Recognition Using a Face-Only Database : a New Approach
1

About Gwo‐Jong Yu

Gwo‐Jong Yu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (10 papers), Mobile Ad Hoc Networks (9 papers) and Opportunistic and Delay-Tolerant Networks (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Signal Processing (328 citations) and Media Technology (207 citations). Gwo‐Jong Yu has collaborated with scholars based in Taiwan, China and India. Frequent co-authors include Hong-Yuan Mark Liao, Ming‐Tat Ko, Ja‐Chen Lin, Li‐Fen Chen, Jang‐Ping Sheu, Yuh‐Shyan Chen, Tai-Chien Kao, Chih‐Yung Chang, Ming‐Yang Su and Chin‐Chuan Han. Their work appears in journals such as Pattern Recognition, IEEE Sensors Journal and IEEE Transactions on Systems Man and Cybernetics Systems.

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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