Chung-Chi Tsai

626 citations
13 papers · 217 indexed · h-index 9
Topics
Visual Attention and Saliency Detection (5 papers)Olfactory and Sensory Function Studies (3 papers)Advanced Neural Network Applications (3 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Chung-Chi Tsai

13 papers receiving 210 citations

Peers

Chung-Chi Tsai
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 199
  • Media Technology 67
  • Artificial Intelligence 18
  • Aerospace Engineering 15
  • Sensory Systems 12
Replace Koteswar Rao Jerripothula with:
Koteswar Rao Jerripothula India
Zongwei Wu China
Xiaomei Feng China
Mingcan Ma China
Tengpeng Li China
Guibiao Liao China
Michael Fussenegger Austria
Yunzhi Zhuge China
Jinyu Yang China
Hongmei Song China
Chung-Chi Tsai relative to Koteswar Rao Jerripothula India Koteswar Rao Jerripothula's profile →
Citations per field
00.5×2.8×
Koteswar Rao Jerripothula · 1×
Citations per year

Countries citing papers authored by Chung-Chi Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Chi Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung-Chi Tsai

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 2
2 60
3 1
4 4
5 14
6 26
7 21
8 8
9 11
10 49
11 9
12 8
13 4

About Chung-Chi Tsai

Chung-Chi Tsai is a scholar working on Sensory Systems, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 13 papers that have together received 217 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (5 papers), Olfactory and Sensory Function Studies (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (199 citations), Media Technology (67 citations) and Sensory Systems (12 citations). Chung-Chi Tsai has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yen‐Yu Lin, Yan‐Tsung Peng, Xiaoning Qian, Chia‐Wen Lin, Weizhi Li, Jia-Li Yin, Bo‐Hao Chen, Zheng Wang, Shin’ichi Satoh and Yu-Chiang Frank Wang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Multimedia.

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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