Zhilan Hu

2.4k citations
14 papers · 1.4k indexed · 2 hit papers · h-index 9
Topics
Video Surveillance and Tracking Methods (9 papers)Human Pose and Action Recognition (7 papers)Anomaly Detection Techniques and Applications (5 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Zhilan Hu

13 papers receiving 1.4k citations

Hit Papers

Filter Pruning via Geometric Median for Deep Convolutiona...201920262021202320192019200400600

Peers

Zhilan Hu
Comparison fields: 5 of 90
  • Computer Vision and Pattern Recognition 1.3k
  • Artificial Intelligence 573
  • Biomedical Engineering 206
  • Electrical and Electronic Engineering 65
  • Signal Processing 55
Replace Ali Shahrokni with:
Ali Shahrokni Sweden
Weixin Li United States
Jingyong Su China
Jian-Hao Luo China
Mingbao Lin China
Byeongho Heo South Korea
Xing Sun China
Mikel Rodríguez United States
Haroon Idrees United States
Zan Gao China
Zhilan Hu relative to Ali Shahrokni Sweden Ali Shahrokni's profile →
Citations per field
00.5×5.3×
Ali Shahrokni · 1×
Citations per year

Countries citing papers authored by Zhilan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhilan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhilan Hu

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 40
2 37
3 12
4 1
5
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Accelerationbreakdown →
705
6
Improving person re-identification by attribute and identity learningbreakdown →
540
7
Open Set Adversarial Examples
14
8 3
9 6
10 11
11 23
12 39
13
Document image retrieval based on multi-density features
0
14 8

About Zhilan Hu

Zhilan Hu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (9 papers), Human Pose and Action Recognition (7 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computational Mathematics (15 citations) and Artificial Intelligence (573 citations). Zhilan Hu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Yi Yang, Yang He, Ping Liu, Ziwei Wang, Liang Zheng, Zhedong Zheng, Chenggang Yan, Yutian Lin, Yu Wu and Xinggang Lin. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and Pattern Recognition Letters.

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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