Saihui Hou

3.4k total citations · 3 hit papers
36 papers, 1.6k citations indexed

About

Saihui Hou is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Saihui Hou has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 29 papers in Biomedical Engineering and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Saihui Hou's work include Gait Recognition and Analysis (29 papers), Human Pose and Action Recognition (21 papers) and Video Surveillance and Tracking Methods (11 papers). Saihui Hou is often cited by papers focused on Gait Recognition and Analysis (29 papers), Human Pose and Action Recognition (21 papers) and Video Surveillance and Tracking Methods (11 papers). Saihui Hou collaborates with scholars based in China, Hong Kong and United States. Saihui Hou's co-authors include Zilei Wang, Chen Change Loy, Xinyu Pan, Dahua Lin, Yongzhen Huang, Chunshui Cao, Chao Fan, Jiannan Chi, Yunjie Peng and Qing Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Saihui Hou

32 papers receiving 1.6k citations

Hit Papers

Learning a Unified Classifier Incrementally via Rebalancing 2019 2026 2021 2023 2019 2020 2023 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Learning a Unified Classifier Incrementally via Rebalancing
    2019 656 citations Saihui Hou, Zilei Wang et al. profile →
  2. GaitPart: Temporal Part-Based Model for Gait Recognition
    2020 332 citations Chao Fan, Yunjie Peng et al. profile →
  3. OpenGait: Revisiting Gait Recognition Toward Better Practicality
    2023 111 citations Chao Fan, Junhao Liang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saihui Hou China 14 1.1k 711 668 277 168 36 1.6k
Qiuhong Ke Australia 17 1.1k 1.0× 583 0.8× 476 0.7× 220 0.8× 27 0.2× 43 1.4k
Taojiannan Yang United States 10 966 0.9× 314 0.4× 224 0.3× 185 0.7× 60 0.4× 16 1.3k
Fabian Caba Heilbron United States 10 1.8k 1.6× 993 1.4× 176 0.3× 78 0.3× 50 0.3× 25 2.0k
Jianqin Yin China 14 555 0.5× 250 0.4× 216 0.3× 160 0.6× 23 0.1× 84 792
Runwei Ding China 17 787 0.7× 239 0.3× 226 0.3× 114 0.4× 49 0.3× 44 1.1k
Alexander Kläser China 5 3.4k 3.1× 1.7k 2.4× 937 1.4× 554 2.0× 88 0.5× 7 3.6k
Raviteja Vemulapalli United States 9 1.4k 1.3× 684 1.0× 682 1.0× 393 1.4× 27 0.2× 17 1.6k
Christian Schüldt Sweden 7 1.9k 1.8× 973 1.4× 553 0.8× 276 1.0× 24 0.1× 26 2.3k
Yanli Ji China 21 1.1k 1.0× 580 0.8× 226 0.3× 201 0.7× 9 0.1× 58 1.4k

Countries citing papers authored by Saihui Hou

Since Specialization
Citations

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

Fields of papers citing papers by Saihui Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saihui Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Saihui Hou. A scholar is included among the top collaborators of Saihui Hou 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 Saihui Hou. Saihui Hou 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.
Yang, Shaopeng, et al.. (2025). Unsupervised Gait Recognition With Selective Fusion. IEEE Transactions on Biometrics Behavior and Identity Science. 7(4). 527–540. 1 indexed citations
2.
Yang, Shaopeng, Saihui Hou, Xu Liu, et al.. (2025). Bridging Gait Recognition and Large Language Models Sequence Modeling. 3460–3469. 2 indexed citations
3.
Hou, Saihui, et al.. (2025). Multimodal Mutual Learning for Unsupervised Gait Recognition. IEEE Transactions on Information Forensics and Security. 20. 9207–9219.
4.
Hou, Saihui, et al.. (2025). From FastPoseGait to GPGait++: Bridging the Past and Future for Pose-Based Gait Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(9). 8231–8248. 1 indexed citations
5.
Hou, Saihui, et al.. (2025). RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 39(7). 7591–7599.
6.
Hou, Saihui, Man Zhang, Xu Liu, et al.. (2024). QAGait: Revisit Gait Recognition from a Quality Perspective. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 5785–5793. 8 indexed citations
7.
Hou, Saihui, Xuecai Hu, Chunshui Cao, Xu Liu, & Yongzhen Huang. (2024). Adaptive Knowledge Transfer for Weak-Shot Gait Recognition. IEEE Transactions on Information Forensics and Security. 19. 7290–7303.
8.
Hou, Saihui, et al.. (2024). Depression risk recognition based on gait: A benchmark. Neurocomputing. 596. 128045–128045. 5 indexed citations
9.
Hu, Xuecai, et al.. (2024). Disentangled Diffusion-Based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser. Proceedings of the AAAI Conference on Artificial Intelligence. 38(2). 882–890. 6 indexed citations
10.
Hou, Saihui, et al.. (2024). Edge-Oriented Adversarial Attack for Deep Gait Recognition. International Journal of Computer Vision. 133(4). 1549–1563. 1 indexed citations
11.
Hou, Saihui, et al.. (2024). AerialGait: Bridging Aerial and Ground Views for Gait Recognition. 1139–1147.
12.
Ma, Kang, et al.. (2024). Learning Visual Prompt for Gait Recognition. 593–603. 10 indexed citations
13.
Hou, Saihui, Man Zhang, Xu Liu, et al.. (2023). LandmarkGait: Intrinsic Human Parsing for Gait Recognition. 2305–2314. 9 indexed citations
14.
Hou, Saihui, et al.. (2023). GaitParsing: Human Semantic Parsing for Gait Recognition. IEEE Transactions on Multimedia. 26. 4736–4748. 7 indexed citations
15.
Guo, Yu, et al.. (2023). Verifying in the Dark: Verifiable Machine Unlearning by Using Invisible Backdoor Triggers. IEEE Transactions on Information Forensics and Security. 19. 708–721. 17 indexed citations
16.
Fan, Chao, Junhao Liang, Chuanfu Shen, et al.. (2023). OpenGait: Revisiting Gait Recognition Toward Better Practicality. 9707–9716. 111 indexed citations breakdown →
17.
Hou, Saihui, et al.. (2023). GPGait: Generalized Pose-based Gait Recognition. 19538–19547. 30 indexed citations
18.
Fan, Chao, Yunjie Peng, Chunshui Cao, et al.. (2020). GaitPart: Temporal Part-Based Model for Gait Recognition. 14213–14221. 332 indexed citations breakdown →
19.
Hou, Saihui & Zilei Wang. (2019). Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8425–8432. 55 indexed citations
20.
Hou, Saihui, et al.. (2017). VegFru: A Domain-Specific Dataset for Fine-Grained Visual Categorization. 541–549. 89 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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