Zhi-Song Liu

1.3k total citations
24 papers, 418 citations indexed

About

Zhi-Song Liu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Zhi-Song Liu has authored 24 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 2 papers in Signal Processing. Recurrent topics in Zhi-Song Liu's work include Advanced Image Processing Techniques (16 papers), Advanced Vision and Imaging (11 papers) and Image Processing Techniques and Applications (10 papers). Zhi-Song Liu is often cited by papers focused on Advanced Image Processing Techniques (16 papers), Advanced Vision and Imaging (11 papers) and Image Processing Techniques and Applications (10 papers). Zhi-Song Liu collaborates with scholars based in Hong Kong, Finland and France. Zhi-Song Liu's co-authors include Wan-Chi Siu, Daniel Pak-Kong Lun, Yui‐Lam Chan, Liwen Wang, Chu-Tak Li, Vicky Kalogeiton, Junjie Huang, Marie‐Paule Cani, J. Gil and Carol Bodian and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and International Journal of Computer Vision.

In The Last Decade

Zhi-Song Liu

23 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi-Song Liu Hong Kong 10 368 170 30 15 15 24 418
Tiantong Guo United States 9 308 0.8× 175 1.0× 36 1.2× 21 1.4× 16 1.1× 13 367
Yuting Tang China 5 390 1.1× 269 1.6× 20 0.7× 10 0.7× 16 1.1× 16 449
Lanqing Guo Singapore 10 261 0.7× 99 0.6× 35 1.2× 18 1.2× 19 1.3× 28 346
Xiaomei Feng China 8 241 0.7× 122 0.7× 17 0.6× 9 0.6× 10 0.7× 14 292
Domonkos Varga Hungary 12 358 1.0× 155 0.9× 27 0.9× 10 0.7× 24 1.6× 37 416
Long Sun China 6 444 1.2× 284 1.7× 38 1.3× 18 1.2× 25 1.7× 17 533
Shaolin Su China 5 446 1.2× 236 1.4× 23 0.8× 16 1.1× 15 1.0× 12 518
Zongsheng Yue China 11 372 1.0× 177 1.0× 39 1.3× 15 1.0× 19 1.3× 16 441
Seo-Won Ji South Korea 6 447 1.2× 221 1.3× 16 0.5× 12 0.8× 21 1.4× 12 502
Cheng Pang China 5 334 0.9× 217 1.3× 39 1.3× 20 1.3× 21 1.4× 13 406

Countries citing papers authored by Zhi-Song Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhi-Song Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi-Song Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi-Song Liu. A scholar is included among the top collaborators of Zhi-Song 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 Zhi-Song Liu. Zhi-Song 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.
Liu, Zhi-Song, Petri Clusius, & Michael Boy. (2025). Neural network emulator for atmospheric chemical ODE. Neural Networks. 184. 107106–107106. 3 indexed citations
2.
Liu, Zhi-Song, et al.. (2024). FunnyNet-W: Multimodal Learning of Funny Moments in Videos in the Wild. International Journal of Computer Vision. 132(8). 2885–2906. 4 indexed citations
3.
Liu, Zhi-Song, et al.. (2023). Soft-IntroVAE for Continuous Latent Space Image Super-Resolution. 30. 1460–1464. 1 indexed citations
4.
Liu, Zhi-Song, Zijia Wang, & Zhen Jia. (2023). Arbitrary Point Cloud Upsampling Via Dual Back-Projection Network. 1470–1474. 2 indexed citations
5.
Liu, Zhi-Song, Liwen Wang, Wan-Chi Siu, & Vicky Kalogeiton. (2023). Name your style: text-guided artistic style transfer. 3530–3534. 5 indexed citations
6.
Wang, Liwen, et al.. (2022). Highly Reliable Vehicle Detection through CNN with Attention Mechanism. 1–2. 2 indexed citations
7.
Liu, Zhi-Song, Wan-Chi Siu, & Yui‐Lam Chan. (2021). Features Guided Face Super-Resolution via Hybrid Model of Deep Learning and Random Forests. IEEE Transactions on Image Processing. 30. 4157–4170. 22 indexed citations
8.
Liu, Zhi-Song, Wan-Chi Siu, & Yui‐Lam Chan. (2021). Efficient Video Super-Resolution via Hierarchical Temporal Residual Networks. IEEE Access. 9. 106049–106064. 3 indexed citations
9.
Liu, Zhi-Song, Vicky Kalogeiton, & Marie‐Paule Cani. (2021). Multiple Style Transfer Via Variational Autoencoder. HAL (Le Centre pour la Communication Scientifique Directe). 2413–2417. 13 indexed citations
10.
Liu, Zhi-Song, Wan-Chi Siu, & Liwen Wang. (2021). Variational AutoEncoder for Reference based Image Super-Resolution. 516–525. 20 indexed citations
11.
Wang, Liwen, Wan-Chi Siu, Zhi-Song Liu, Chu-Tak Li, & Daniel Pak-Kong Lun. (2021). Video Lightening with Dedicated CNN Architecture. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 6447–6454. 1 indexed citations
12.
Wang, Liwen, Zhi-Song Liu, Wan-Chi Siu, & Daniel Pak-Kong Lun. (2020). Deep Lightening Network for Low-Light Image Enhancement. 13. 1–5. 5 indexed citations
13.
Liu, Zhi-Song, Wan-Chi Siu, & Yui‐Lam Chan. (2020). Photo-Realistic Image Super-Resolution via Variational Autoencoders. IEEE Transactions on Circuits and Systems for Video Technology. 31(4). 1351–1365. 49 indexed citations
14.
Siu, Wan-Chi, Zhi-Song Liu, Junjie Huang, & Kwok-Wai Hung. (2018). Learning Approaches for Super-Resolution Imaging. 283–352. 2 indexed citations
15.
Liu, Zhi-Song, Wan-Chi Siu, & Yui‐Lam Chan. (2018). Joint Back Projection and Residual Networks for Efficient Image Super-Resolution. 1054–1060. 3 indexed citations
16.
Zhang, Yuzhu, Wan-Chi Siu, Zhi-Song Liu, & Ngai-Fong Law. (2017). Learning via Decision Trees Approach for Video Super-Resolution. 558–562. 1 indexed citations
17.
Liu, Zhi-Song, Wan-Chi Siu, & Yui‐Lam Chan. (2017). Fast image super-resolution via Randomized Multi-split Forests. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1–4. 10 indexed citations
18.
Jiang, Jian‐Guo, Zhi-Song Liu, Min Yu, & Chao Liu. (2016). A resource management system design for malware behavior detection. 467–474.
19.
Liu, Zhi-Song, Wan-Chi Siu, & Junjie Huang. (2015). Image super-resolution via hybrid NEDI and wavelet-based scheme. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 1. 1131–1136. 6 indexed citations
20.
Einstein, Andrew J., J. Gil, Sylvan Wallenstein, et al.. (1997). Reproducibility and accuracy of interactive segmentation procedures for image analysis in cytology. Journal of Microscopy. 188(2). 136–148. 19 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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