Hanhe Lin
Impact in
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- Image and Video Quality Assessment
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Image and Signal Denoising Methods
- Advanced Neural Network Applications
- Media Technology top 1%
- Advanced Image Fusion Techniques
Papers in
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- Image and Video Quality Assessment 20
- Image Enhancement Techniques 11
- Advanced Image Processing Techniques 11
- Visual Attention and Saliency Detection 8
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- Functional Brain Connectivity Studies 4
- Co-authors
- Dietmar Saupe (22 shared papers)Vlad Hosu (14 shared papers)Felix Wilhelm Siebert (7 shared papers)Hui Men (7 shared papers)Mohsen Jenadeleh (4 shared papers)Franz Hahn (1 shared paper)Shujun Li (1 shared paper)Tamás Szirányi (1 shared paper)
- Journals
- IEEE Access (3 papers)IEEE Transactions on Multimedia (2 papers)IEEE Transactions on Image Processing (2 papers)Big Data Mining and Analytics (2 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)
- Partner nations
- United KingdomGermanyChina
In The Last Decade
Hanhe Lin
46 papers receiving 974 citations
Hanhe Lin's Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 796
- Media Technology 294
- Safety, Risk, Reliability and Quality 52
- Signal Processing 59
- Automotive Engineering 43
Countries citing papers authored by Hanhe Lin
This map shows the geographic impact of Hanhe Lin'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 Hanhe Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanhe Lin more than expected).
Fields of papers citing papers by Hanhe Lin
This network shows the impact of papers produced by Hanhe Lin. 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 Hanhe Lin. The network helps show where Hanhe Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanhe Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | KADID-10k: A Large-scale Artificially Distorted IQA Database Hit paper breakdown → | 2019 | 310 |
| 2 | 2017 | 219 | |
| 3 | 2022 | 61 | |
| 4 | 2019 | 57 | |
| 5 | 2020 | 52 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 23 | |
| 9 | 2019 | 21 | |
| 10 | 2016 | 16 | |
| 11 | 2017 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2023 | 9 |
About Hanhe Lin
Hanhe Lin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Safety, Risk, Reliability and Quality and Media Technology, having authored 48 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Video Quality Assessment (20 papers), Image Enhancement Techniques (11 papers), Advanced Image Processing Techniques (11 papers), Visual Attention and Saliency Detection (8 papers), Traffic and Road Safety (6 papers), Functional Brain Connectivity Studies (4 papers), Advanced Image Fusion Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (796 citations), Media Technology (294 citations), Safety, Risk, Reliability and Quality (52 citations), Signal Processing (59 citations) and Automotive Engineering (43 citations). Hanhe Lin has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Dietmar Saupe, Vlad Hosu, Felix Wilhelm Siebert, Hui Men, Mohsen Jenadeleh, Franz Hahn, Shujun Li, Tamás Szirányi, Jeremiah D. Deng and Hantao Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Big Data Mining and Analytics and IEEE/ACM Transactions on Computational Biology and Bioinformatics.
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.