Si Liu

13.7k total citations · 4 hit papers
190 papers, 7.2k citations indexed

About

Si Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Si Liu has authored 190 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Computer Vision and Pattern Recognition, 38 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Si Liu's work include Human Pose and Action Recognition (47 papers), Multimodal Machine Learning Applications (44 papers) and Advanced Image and Video Retrieval Techniques (41 papers). Si Liu is often cited by papers focused on Human Pose and Action Recognition (47 papers), Multimodal Machine Learning Applications (44 papers) and Advanced Image and Video Retrieval Techniques (41 papers). Si Liu collaborates with scholars based in China, Singapore and United States. Si Liu's co-authors include Tianzhu Zhang, Xiaochun Cao, Shuicheng Yan, Changqing Zhang, Huazhu Fu, Changsheng Xu, Narendra Ahuja, Bernard Ghanem, Hanqing Lu and Hua Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Si Liu

176 papers receiving 7.1k citations

Hit Papers

Diversity-induced Multi-view Subspace Clustering 2012 2026 2016 2021 2015 2015 2019 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Liu China 43 6.1k 1.8k 610 476 421 190 7.2k
Sicheng Zhao China 40 3.2k 0.5× 2.2k 1.2× 388 0.6× 234 0.5× 290 0.7× 162 5.6k
Zechao Li China 45 5.0k 0.8× 2.4k 1.3× 296 0.5× 888 1.9× 186 0.4× 167 6.7k
Naiyan Wang China 32 4.1k 0.7× 1.7k 0.9× 306 0.5× 345 0.7× 830 2.0× 62 6.1k
Yang Wang China 36 3.4k 0.5× 1.7k 0.9× 242 0.4× 531 1.1× 140 0.3× 193 5.2k
Jinjun Wang China 27 4.2k 0.7× 1.0k 0.6× 353 0.6× 654 1.4× 335 0.8× 117 5.4k
Mario Fritz Germany 39 3.5k 0.6× 2.0k 1.1× 175 0.3× 206 0.4× 314 0.7× 130 5.2k
Qinfeng Shi Australia 35 3.4k 0.6× 1.9k 1.1× 370 0.6× 544 1.1× 259 0.6× 124 5.4k
Mingli Song China 40 3.9k 0.6× 1.5k 0.9× 262 0.4× 540 1.1× 202 0.5× 237 5.5k
Terence Sim Singapore 24 4.2k 0.7× 687 0.4× 526 0.9× 840 1.8× 231 0.5× 101 4.9k
Mingliang Xu China 44 3.4k 0.6× 1.4k 0.8× 153 0.3× 621 1.3× 405 1.0× 316 6.3k

Countries citing papers authored by Si Liu

Since Specialization
Citations

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

Fields of papers citing papers by Si Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Si Liu. A scholar is included among the top collaborators of Si 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 Si Liu. Si 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.
Huang, Zehao, et al.. (2025). MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 609–623. 1 indexed citations
2.
Chen, Jianwen, Xiucai Wang, Wenbo Zhu, et al.. (2024). Tristable TaOx-based memristor by controlling oxygen vacancy transportion based on valence transition mechanism. Ceramics International. 50(23). 52090–52095. 2 indexed citations
3.
Lu, Shichen, et al.. (2024). Collaborative Training of Tiny-Large Vision Language Models. 4928–4937. 1 indexed citations
4.
Fang, Rongyao, Peng Gao, Aojun Zhou, et al.. (2024). FeatAug-DETR: Enriching One-to-Many Matching for DETRs With Feature Augmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6402–6415. 8 indexed citations
5.
Li, Bo, Tianrui Hui, Xiaoming Wei, et al.. (2024). RGB-T Tracking With Template-Bridged Search Interaction and Target-Preserved Template Updating. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(1). 634–649. 5 indexed citations
6.
Huang, Shaofei, et al.. (2024). Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 1660–1673. 1 indexed citations
7.
Gao, Yulu, et al.. (2024). Linker: Learning Long Short-term Associations for Robust Visual Tracking. IEEE Transactions on Multimedia. 26. 6228–6237. 5 indexed citations
8.
Chen, Jianwen, Si Liu, Xiucai Wang, et al.. (2023). High dielectric response of TaOX thin film and its modification by controlling oxygen vacancy concentration. Journal of Materials Science Materials in Electronics. 34(11). 3 indexed citations
9.
Gao, Chen, et al.. (2023). Room-Object Entity Prompting and Reasoning for Embodied Referring Expression. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 994–1010. 11 indexed citations
10.
Huang, Zehao, et al.. (2023). Object as Query: Lifting any 2D Object Detector to 3D Detection. 3768–3777. 22 indexed citations
11.
Wang, Rong, et al.. (2023). Unified Transformer With Isomorphic Branches for Natural Language Tracking. IEEE Transactions on Circuits and Systems for Video Technology. 33(9). 4529–4541. 5 indexed citations
12.
Liu, Si, Wentao Jiang, Chen Gao, et al.. (2021). PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(11). 8538–8551. 27 indexed citations
13.
Sun, Mingjie, Jimin Xiao, Eng Gee Lim, Si Liu, & John Y. Goulermas. (2021). Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(11). 4189–4195. 42 indexed citations
14.
Liao, Yue, Si Liu, Guanbin Li, et al.. (2021). Human-Centric Spatio-Temporal Video Grounding With Visual Transformers. IEEE Transactions on Circuits and Systems for Video Technology. 32(12). 8238–8249. 57 indexed citations
15.
Wei, Zhen, Yao Sun, Jinqiao Wang, Hanjiang Lai, & Si Liu. (2017). Learning Adaptive Receptive Fields for Deep Image Parsing Network. 3947–3955. 45 indexed citations
16.
Wang, Chunping, et al.. (2017). Robust Target Tracking by Online Random Forests and Superpixels. IEEE Transactions on Circuits and Systems for Video Technology. 28(7). 1609–1622. 23 indexed citations
17.
Ling, Hefei, et al.. (2016). Hierarchical deep semantic hashing for fast image retrieval. Multimedia Tools and Applications. 76(20). 21281–21302. 2 indexed citations
18.
Liu, Si, et al.. (2014). A Review of Cognitive Model: Experiments of Scalar Implicature. Lanzhou University Institutional Repository. 8(3). 22–28. 1 indexed citations
19.
Zhang, Tianzhu, Bernard Ghanem, Si Liu, Changsheng Xu, & Narendra Ahuja. (2013). Low-Rank Sparse Coding for Image Classification. National University of Singapore. 281–288. 102 indexed citations
20.
Liu, Si. (2010). Reliability and validity of the Chinese version of the Meaning in Life Questionnaire. Zhongguo xinli weisheng zazhi. 48 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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