Zhengping Hu

496 total citations
62 papers, 339 citations indexed

About

Zhengping Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Urban Studies. According to data from OpenAlex, Zhengping Hu has authored 62 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 10 papers in Urban Studies. Recurrent topics in Zhengping Hu's work include Face and Expression Recognition (23 papers), Human Pose and Action Recognition (16 papers) and Video Surveillance and Tracking Methods (13 papers). Zhengping Hu is often cited by papers focused on Face and Expression Recognition (23 papers), Human Pose and Action Recognition (16 papers) and Video Surveillance and Tracking Methods (13 papers). Zhengping Hu collaborates with scholars based in China and Australia. Zhengping Hu's co-authors include Zhe Sun, Raymond Chiong, Shufang Li, Meng Wang, Meng Wang, Wei He, Le Zhang, Degang Sun, Fan Bai and Zhenbin Zhang and has published in prestigious journals such as IEEE Access, Pattern Recognition and Neurocomputing.

In The Last Decade

Zhengping Hu

53 papers receiving 329 citations

Peers

Zhengping Hu
Yanan Guo China
Xuanyu He China
Xi Jia China
Wei Tong China
Zhengping Hu
Citations per year, relative to Zhengping Hu Zhengping Hu (= 1×) peers R.S. Rajesh

Countries citing papers authored by Zhengping Hu

Since Specialization
Citations

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

Fields of papers citing papers by Zhengping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengping Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengping Hu. A scholar is included among the top collaborators of Zhengping 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 Zhengping Hu. Zhengping Hu 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.
Hu, Zhengping, et al.. (2025). HMSFT: Hierarchical Multi-scale Spatial-Frequency-Temporal collaborative transformer for 3D human pose estimation. Pattern Recognition. 164. 111562–111562. 2 indexed citations
2.
Hu, Zhengping, et al.. (2025). Dual cross transformer based on multi-scale fusion for fine-grained action recognition. Applied Intelligence. 55(12).
4.
Hu, Zhengping, et al.. (2024). Relation-aware interaction spatio-temporal network for 3D human pose estimation. Digital Signal Processing. 155. 104764–104764.
6.
Hu, Zhengping, et al.. (2023). Continuous frame motion sensitive self-supervised collaborative network for video representation learning. Advanced Engineering Informatics. 56. 101941–101941. 6 indexed citations
7.
Hu, Zhengping, et al.. (2023). Self-supervised pretext task collaborative multi-view contrastive learning for video action recognition. Signal Image and Video Processing. 17(7). 3775–3782. 1 indexed citations
8.
Hu, Zhengping, et al.. (2023). 3D network with channel excitation and knowledge distillation for action recognition. Frontiers in Neurorobotics. 17. 1050167–1050167. 1 indexed citations
10.
Li, Shufang, et al.. (2022). Cross-scene crowd counting based on supervised adaptive network parameters. Signal Image and Video Processing. 16(8). 2113–2120. 2 indexed citations
11.
Hu, Zhengping. (2018). Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning. 7(2). 15–15. 2 indexed citations
12.
Wang, Meng, et al.. (2017). Varying face occlusion detection and iterative recovery for face recognition. Journal of Electronic Imaging. 26(3). 33009–33009. 8 indexed citations
13.
Hu, Zhengping, et al.. (2016). Regularized Robust Sparse Representation Face Recognition Algorithm Based on Supervised Low-Rank Subspace Recovery. 32(11). 1307. 1 indexed citations
14.
Hu, Zhengping, et al.. (2013). Sparse representation algorithm for image recognition based on the combination of structured sparse and atom sparse. Journal of Signal Processing. 29(7). 888–895. 1 indexed citations
15.
Hu, Zhengping, Lü Liang, & XU Cheng-qian. (2012). L1 Norm Sparse Distance Metric Learning for One-class Classifier. Dianzi xuebao. 40(1). 134–140.
16.
Hu, Zhengping. (2007). Robust Iris Location Based on Multi-Scale Local-Direction Contour Detection. Dianzi xuebao. 1 indexed citations
17.
Hu, Zhengping. (2006). Parallel region growing for image segmentation based on SVM with rejection. Systems engineering and electronics.
18.
Hu, Zhengping, et al.. (2006). Micro-calcifications Detection Based on Iterative Rank-order Filter Subspace and SVM with Rejection Feature. Dianzi xuebao. 1 indexed citations
19.
Hu, Zhengping. (2005). Automatic segmentation for video objects based on gray projection and Fisher criterion. Jisuanji gongcheng yu sheji. 1 indexed citations
20.
Hu, Zhengping. (2004). Digital Image Encryption via A Truncated Baker Transformation. Jisuanji gongcheng. 1 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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