Tie Liu

721 total citations
8 papers, 386 citations indexed

About

Tie Liu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Tie Liu has authored 8 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 1 paper in Cognitive Neuroscience. Recurrent topics in Tie Liu's work include Advanced Image Processing Techniques (4 papers), Image and Video Quality Assessment (3 papers) and Face recognition and analysis (3 papers). Tie Liu is often cited by papers focused on Advanced Image Processing Techniques (4 papers), Image and Video Quality Assessment (3 papers) and Face recognition and analysis (3 papers). Tie Liu collaborates with scholars based in China, United Kingdom and Portugal. Tie Liu's co-authors include Mai Xu, Zhenyu Guan, Zulin Wang, Ren Yang, Qunliang Xing, Li Yang, Shengxi Li, Xinbo Gao, Liangyu Huo and Xiaofei Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Tie Liu

8 papers receiving 375 citations

Peers

Tie Liu

CVPR

SP

MT

AI

CM

Zhenghui Zhao China

Bailan Feng China

Wenchao Zhang China

Mandi Luo China

Zhongqin Wu China

M. Hamouz United Kingdom

Yi-Ping Hung Taiwan

Lihua Tian China

Ionut Schiopu Belgium

Zhenghui Zhao China

Tie Liu

423 ×1.3

CVPR

182 ×1.7

SP

19 ×0.5

MT

36 ×1.2

AI

16 ×1.2

CM

Citations per year, relative to Tie Liu Tie Liu (= 1×) peers Zhenghui Zhao

Countries citing papers authored by Tie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Liu, Jingyi, et al.. (2025). Attention-Guided Bi-direction Temporal-aware Network for speech-based depression recognition. Digital Signal Processing. 166. 105359–105359. 1 indexed citations

2.

Liu, Tie, Shengxi Li, Mai Xu, Li Yang, & Xiaofei Wang. (2024). Assessing Face Image Quality: A Large-Scale Database and a Transformer Method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 3981–4000. 8 indexed citations

3.

Yang, Yue, et al.. (2024). Remote Sensing Image Change Captioning Using Multi-Attentive Network with Diffusion Model. Remote Sensing. 16(21). 4083–4083. 5 indexed citations

4.

Yang, Li, Mai Xu, Tie Liu, Liangyu Huo, & Xinbo Gao. (2022). TVFormer: Trajectory-guided Visual Quality Assessment on 360° Images with Transformers. Proceedings of the 30th ACM International Conference on Multimedia. 799–808. 16 indexed citations

5.

Shao, Zhuhong, et al.. (2021). Fusing structure and color features for cancelable face recognition. Multimedia Tools and Applications. 80(9). 14477–14494. 11 indexed citations

6.

Liu, Tie, et al.. (2021). MRS-Net+ for Enhancing Face Quality of Compressed Videos. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2881–2894. 5 indexed citations

7.

Guan, Zhenyu, Qunliang Xing, Mai Xu, et al.. (2019). MFQE 2.0: A New Approach for Multi-Frame Quality Enhancement on Compressed Video. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(3). 949–963. 177 indexed citations

8.

Yang, Ren, Mai Xu, Tie Liu, Zulin Wang, & Zhenyu Guan. (2018). Enhancing Quality for HEVC Compressed Videos. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2039–2054. 163 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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