Yun-Chung Chung

884 citations
5 papers · 620 indexed · 1 hit paper · h-index 4
Topics
Image Enhancement Techniques (4 papers)Computer Graphics and Visualization Techniques (2 papers)Color Science and Applications (2 papers)
Journals
IEEE Transactions on Intelligent Transportation SystemsJournal of information science and engineeringProceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
Partner nations
TaiwanUnited States

In The Last Decade

Yun-Chung Chung

5 papers receiving 540 citations

Hit Papers

Automatic license plate recognition20042026201120182004100200300400500

Peers

Yun-Chung Chung
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 511
  • Media Technology 509
  • Building and Construction 169
  • Artificial Intelligence 110
  • Automotive Engineering 18
Replace Shyang‐Lih Chang with:
Shyang‐Lih Chang Taiwan
Chirag Patel India
Yanjie Yao China
Paulo Ricardo Lisboa de Almeida Brazil
Andrzej Ruta United Kingdom
Gyeonghwan Kim South Korea
Junbiao Pang China
Qingming Yao China
C. Nelson Kennedy Babu India
Xianzhi Du United States
Yun-Chung Chung relative to Shyang‐Lih Chang Taiwan Shyang‐Lih Chang's profile →
Citations per field
00.5×1.5×
Shyang‐Lih Chang · 1×
Citations per year

Countries citing papers authored by Yun-Chung Chung

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Chung Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Chung Chung. 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 Yun-Chung Chung. The network helps show where Yun-Chung Chung may publish in the future.

Co-authorship network of co-authors of Yun-Chung Chung

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 2
2 15
3 45
4 3
5
Automatic license plate recognitionbreakdown →
555

About Yun-Chung Chung

Yun-Chung Chung is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 5 papers that have together received 620 indexed citations. Recurring topics across this work include Image Enhancement Techniques (4 papers), Computer Graphics and Visualization Techniques (2 papers) and Color Science and Applications (2 papers). The work is most often cited by research in Media Technology (509 citations), Computer Vision and Pattern Recognition (511 citations) and Building and Construction (169 citations). Yun-Chung Chung has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shyang‐Lih Chang and Sei-Wang Chen. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of information science and engineering and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

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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