Ching-Ling Fan
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- Image and Video Quality Assessment 17
- Visual Attention and Saliency Detection 8
- Advanced Data Compression Techniques 1
- Signal Processing top 5%
- Video Coding and Compression Technologies 6
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts 3
- Media Technology top 10%
- Advanced Optical Imaging Technologies 3
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- Cloud Computing and Remote Desktop Technologies 3
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- Multimedia Communication and Technology 3
- Co-authors
- Cheng-Hsin HsuWen-Chih LoChun‐Ying HuangKuan‐Ta ChenJean LeeHua-Jun HongShuting WangTsung‐Han Tsai
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (3 papers)ACM Computing Surveys (1 paper)IEEE Transactions on Multimedia (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Ching-Ling Fan
17 papers receiving 545 citations
Peers
Comparison fields: 5 of 44
- Computer Vision and Pattern Recognition 479
- Signal Processing 237
- Human-Computer Interaction 95
- Media Technology 43
- Computer Networks and Communications 105
Countries citing papers authored by Ching-Ling Fan
This map shows the geographic impact of Ching-Ling Fan'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 Ching-Ling Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Ling Fan more than expected).
Fields of papers citing papers by Ching-Ling Fan
This network shows the impact of papers produced by Ching-Ling Fan. 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 Ching-Ling Fan. The network helps show where Ching-Ling Fan may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Ching-Ling Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 6 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 14 | |
| 4 | 2019 | 25 | |
| 5 | 2019 | 37 | |
| 6 | 2019 | 72 | |
| 7 | 2019 | 18 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 1 | |
| 10 | 2017 | 170 | |
| 11 | 2017 | 160 | |
| 12 | 2017 | 14 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 13 | |
| 15 | 2016 | 0 | |
| 16 | 2016 | 5 | |
| 17 | 2015 | 2 | |
| 18 | 2015 | 9 |
About Ching-Ling Fan
Ching-Ling Fan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction, Media Technology and Hardware and Architecture, having authored 18 papers that have together received 554 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (17 papers), Visual Attention and Saliency Detection (8 papers), Video Coding and Compression Technologies (6 papers), Advanced Optical Imaging Technologies (3 papers), Virtual Reality Applications and Impacts (3 papers), Cloud Computing and Remote Desktop Technologies (3 papers), Multimedia Communication and Technology (3 papers) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (479 citations), Signal Processing (237 citations), Human-Computer Interaction (95 citations), Media Technology (43 citations) and Computer Networks and Communications (105 citations). Ching-Ling Fan has collaborated with scholars based in Taiwan. Frequent co-authors include Cheng-Hsin Hsu, Wen-Chih Lo, Chun‐Ying Huang, Kuan‐Ta Chen, Jean Lee, Hua-Jun Hong, Shuting Wang, Tsung‐Han Tsai, Yurong Wang and Guanru Wang. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, ACM Computing Surveys, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Internet of Things Journal.
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.