Hantao Liu

6.5k total citations · 1 hit paper
149 papers, 4.9k citations indexed

About

Hantao Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cognitive Neuroscience. According to data from OpenAlex, Hantao Liu has authored 149 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Computer Vision and Pattern Recognition, 35 papers in Media Technology and 27 papers in Cognitive Neuroscience. Recurrent topics in Hantao Liu's work include Image and Video Quality Assessment (72 papers), Visual Attention and Saliency Detection (46 papers) and Advanced Image Fusion Techniques (33 papers). Hantao Liu is often cited by papers focused on Image and Video Quality Assessment (72 papers), Visual Attention and Saliency Detection (46 papers) and Advanced Image Fusion Techniques (33 papers). Hantao Liu collaborates with scholars based in United Kingdom, China and United States. Hantao Liu's co-authors include Claude G. Wasterlain, Ingrid Heynderickx, Allan I. Basbaum, Patrick W. Mantyh, Andréy Mazarati, Raman Sankar, Don Shin, Hiroshi Katsumori, Jérôme Niquet and David E. Naylor and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Hantao Liu

140 papers receiving 4.8k citations

Hit Papers

A Perception-Aware Decomposition and Fusion Framework for... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hantao Liu United Kingdom 35 2.0k 1.7k 1.2k 784 713 149 4.9k
Koen Van Leemput United States 36 446 0.2× 2.3k 1.3× 601 0.5× 873 1.1× 555 0.8× 104 6.6k
Rolf A. Heckemann United Kingdom 35 422 0.2× 1.5k 0.9× 511 0.4× 1.0k 1.3× 489 0.7× 92 5.6k
William R. Crum United Kingdom 36 510 0.3× 1.1k 0.7× 457 0.4× 1.5k 1.9× 1.2k 1.7× 97 5.9k
Hans J. Johnson United States 45 4.6k 2.4× 969 0.6× 2.5k 2.2× 757 1.0× 313 0.4× 149 8.5k
Carmine Clemente United Kingdom 40 1.2k 0.6× 204 0.1× 438 0.4× 216 0.3× 358 0.5× 208 5.6k
Olivier Colliot France 39 392 0.2× 1.3k 0.7× 478 0.4× 2.3k 2.9× 1.4k 2.0× 156 6.5k
Pierre‐Louis Bazin Germany 42 429 0.2× 727 0.4× 317 0.3× 307 0.4× 226 0.3× 171 6.1k
G. Edwards United Kingdom 30 572 0.3× 3.6k 2.1× 1.5k 1.3× 50 0.1× 1.7k 2.4× 75 7.6k
Peter R. Mouton United States 36 1.4k 0.7× 143 0.1× 1.3k 1.1× 287 0.4× 1.1k 1.5× 100 5.3k

Countries citing papers authored by Hantao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hantao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hantao Liu. 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 Hantao Liu. The network helps show where Hantao Liu may publish in the future.

Co-authorship network of co-authors of Hantao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hantao Liu. A scholar is included among the top collaborators of Hantao Liu 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 Hantao Liu. Hantao Liu 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
1.
Yan, Jiebin, et al.. (2025). Towards Scalable and Efficient Full-Reference Omnidirectional Image Quality Assessment. IEEE Signal Processing Letters. 32. 2459–2463.
2.
White, Richard, et al.. (2025). Chest X-Ray Visual Saliency Modeling: Eye-Tracking Dataset and Saliency Prediction Model. IEEE Transactions on Neural Networks and Learning Systems. 36(9). 16920–16930. 2 indexed citations
3.
Yang, Xiaoyuan, Guanghui Yue, Qiuping Jiang, et al.. (2025). Perception-Oriented Bidirectional Attention Network for Image Super-Resolution Quality Assessment. IEEE Transactions on Image Processing. 34. 7728–7743.
4.
Stawarz, Katarzyna, et al.. (2025). Applying cross-modal plasticity principles in auditory training applications. International Journal of Human-Computer Studies. 203. 103570–103570. 1 indexed citations
5.
Corcoran, Padraig, et al.. (2024). TranSalNet+: Distortion-aware saliency prediction. Neurocomputing. 600. 128155–128155.
6.
Yan, Jiebin, et al.. (2024). Blind Quality Assessment of Panoramic Images Based on Multiple Viewport Sequences. 1–5. 1 indexed citations
7.
Tan, Hongchen, et al.. (2024). Blind Image Quality Assessment via Adaptive Graph Attention. IEEE Transactions on Circuits and Systems for Video Technology. 34(10). 10299–10309. 23 indexed citations
8.
Tan, Hongchen, et al.. (2023). SSPNet: Predicting Visual Saliency Shifts. IEEE Transactions on Multimedia. 26. 4938–4949. 1 indexed citations
9.
Wu, Yingying, Pengfei Guo, Yipeng Qin, et al.. (2023). CUDAS: Distortion-Aware Saliency Benchmark. IEEE Access. 11. 58025–58036. 1 indexed citations
10.
Xiang, Tao, et al.. (2023). EHNQ: Subjective and Objective Quality Evaluation of Enhanced Night-Time Images. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4645–4659. 11 indexed citations
11.
Wang, Guangcheng, Kui Jiang, Ke Gu, et al.. (2023). Coarse- and Fine-Grained Fusion Hierarchical Network for Hole Filling in View Synthesis. IEEE Transactions on Image Processing. 33. 322–337. 2 indexed citations
12.
Lin, Hanhe, Richard White, Susan C. Shelmerdine, et al.. (2023). Predicting Radiologists' Gaze With Computational Saliency Models in Mammogram Reading. IEEE Transactions on Multimedia. 26. 256–269. 6 indexed citations
13.
Li, Wenzao, et al.. (2023). A hybrid GA-PSO strategy for computing task offloading towards MES scenarios. PeerJ Computer Science. 9. e1273–e1273. 5 indexed citations
14.
Guo, Pengfei, Hantao Liu, Delu Zeng, et al.. (2022). An Underwater Image Quality Assessment Metric. IEEE Transactions on Multimedia. 25. 5093–5106. 23 indexed citations
15.
Jiang, Qiuping, et al.. (2022). A Perception-Aware Decomposition and Fusion Framework for Underwater Image Enhancement. IEEE Transactions on Circuits and Systems for Video Technology. 33(3). 988–1002. 167 indexed citations breakdown →
16.
Yang, Miao, Yixiang Du, Yue Huang, et al.. (2019). Preselection based subjective preference evaluation for the quality of underwater images. ORCA Online Research @Cardiff (Cardiff University). 34–43. 2 indexed citations
17.
Xia, Zhifang, Ke Gu, Shiqi Wang, Hantao Liu, & Sam Kwong. (2019). Toward Accurate Quality Estimation of Screen Content Pictures With Very Sparse Reference Information. IEEE Transactions on Industrial Electronics. 67(3). 2251–2261. 12 indexed citations
18.
Zhang, Jiajun, et al.. (2017). Is Fuzzy Dark Matter in tension with Lyman-alpha forest?. arXiv (Cornell University). 2 indexed citations
19.
Sankar, Raman, Don Shin, Hantao Liu, Hiroshi Katsumori, & Claude G. Wasterlain. (2000). Granule Cell Neurogenesis After Status Epilepticus in the Immature Rat Brain. Epilepsia. 41(s6). S53–6. 81 indexed citations
20.
Mazarati, Andréy, Hantao Liu, Ursel Soomets, et al.. (1998). Galanin Modulation of Seizures and Seizure Modulation of Hippocampal Galanin in Animal Models of Status Epilepticus. Journal of Neuroscience. 18(23). 10070–10077. 149 indexed citations

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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