Xin Liu

4.1k citations
172 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Xin Liu

148 papers receiving 2.4k citations

Peers

Xin Liu
Comparison fields: 5 of 148
  • Computer Vision and Pattern Recognition 1.1k
  • Human-Computer Interaction 213
  • Computational Mathematics 16
  • Media Technology 223
  • Experimental and Cognitive Psychology 213
Replace David Marshall with:
David Marshall United Kingdom
Wen-Huang Cheng Taiwan
Liming Chen France
Rui Yan China
Fadi Dornaika Spain
Ming Shao United States
Nikolaos Papanikolopoulos United States
Son Lam Phung Australia
Yun Fu United States
Xin Liu relative to David Marshall United Kingdom David Marshall's profile →
Citations per field
00.5×10×16×
David Marshall · 1×
Citations per year

Countries citing papers authored by Xin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xin Liu Line = papers co-authored together Xin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202511
4 20251
5 202414
6 202383
7 202342
8 202214
9 202185
10 202180
11 202019
12
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
20202
13
Laplacian pyramid-based complex neural network learning for fast MR imaging
20206
14 20201
15 20207
16 20194
17 201812
18
Bidirectional Long Short-Term Memory Variational Autoencoder.
20185
19 2017147
20 201734

About Xin Liu

Xin Liu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Media Technology, Acoustics and Ultrasonics and Artificial Intelligence, having authored 172 papers that have together received 2.5k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (23 papers), Advanced Memory and Neural Computing (16 papers), Non-Invasive Vital Sign Monitoring (15 papers), Hand Gesture Recognition Systems (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Video Surveillance and Tracking Methods (9 papers) and Image and Signal Denoising Methods (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (213 citations), Computational Mathematics (16 citations), Media Technology (223 citations) and Experimental and Cognitive Psychology (213 citations). Xin Liu has collaborated with scholars based in China, Finland and United States. Frequent co-authors include Guoying Zhao, Chun Qi, Jiawen Yao, Haoyu Chen, Daniel McDuff, Xiaohua Huang, Shwetak Patel, Qiong Wang, Lan Tang and Zhiyuan Zha. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology and Journal of X-Ray Science and Technology.

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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