Saihui Hou

32 papers receiving 1.6k citations

Hit Papers

Learning a Unified Classifier Incrementally via Rebalancing2019202620212023201920202023200400600

Peers

Saihui Hou
Comparison fields: 5 of 101
  • Computer Vision and Pattern Recognition 1.1k
  • Artificial Intelligence 711
  • Biomedical Engineering 668
  • Human-Computer Interaction 277
  • Endocrinology, Diabetes and Metabolism 168
Replace Taojiannan Yang with:
Taojiannan Yang United States
Fabian Caba Heilbron United States
Raviteja Vemulapalli United States
Tyler Zhu United States
Mikel Rodríguez United States
Qiuhong Ke Australia
Christian Schüldt Sweden
Gül Varol France
Chunyu Wang China
Yuncheng Li United States
Saihui Hou relative to Taojiannan Yang United States Taojiannan Yang's profile →
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Taojiannan Yang · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 2
3 0
4 1
5 0
6 8
7 0
8 5
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10 1
11 0
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13 9
14 7
15 17
16
OpenGait: Revisiting Gait Recognition Toward Better Practicalitybreakdown →
111
17 30
18
GaitPart: Temporal Part-Based Model for Gait Recognitionbreakdown →
332
19 55
20 89

About Saihui Hou

Saihui Hou is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (29 papers), Human Pose and Action Recognition (21 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (277 citations) and Artificial Intelligence (711 citations). Saihui Hou has collaborated with scholars based in China, Hong Kong and United States. Frequent 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. Their work appears in 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.

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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