Chenping Hou

3.2k total citations · 1 hit paper
102 papers, 2.4k citations indexed

About

Chenping Hou is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Chenping Hou has authored 102 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Chenping Hou's work include Face and Expression Recognition (53 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Image Retrieval and Classification Techniques (17 papers). Chenping Hou is often cited by papers focused on Face and Expression Recognition (53 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Image Retrieval and Classification Techniques (17 papers). Chenping Hou collaborates with scholars based in China, United States and Australia. Chenping Hou's co-authors include Dongyun Yi, Feiping Nie, Hong Tao, Yi Wu, Xuelong Li, Changshui Zhang, Yi Wu, Yuanyuan Jiao, Jubo Zhu and Tingjin Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Chenping Hou

95 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection

2013 429 citations Chenping Hou, Feiping Nie et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenping Hou China	25	1.7k	1.2k	467	284	174	102	2.4k
Xiaozhao Fang China	25	1.8k 1.0×	968 0.8×	615 1.3×	560 2.0×	117 0.7×	83	2.5k
Quanxue Gao China	32	2.4k 1.4×	1.7k 1.4×	495 1.1×	322 1.1×	341 2.0×	139	3.4k
Kun Zhan China	23	1.7k 1.0×	850 0.7×	751 1.6×	130 0.5×	239 1.4×	77	2.4k
Zhihui Lai China	28	1.8k 1.0×	782 0.7×	499 1.1×	506 1.8×	68 0.4×	103	2.4k
Xijiong Xie China	19	1.1k 0.6×	825 0.7×	250 0.5×	118 0.4×	90 0.5×	50	1.6k
Dacheng Tao United Kingdom	14	2.2k 1.3×	846 0.7×	544 1.2×	228 0.8×	27 0.2×	23	2.8k
Yuxiao Hu United States	19	3.4k 2.0×	852 0.7×	623 1.3×	530 1.9×	98 0.6×	56	4.0k
Chong Peng China	21	1.4k 0.8×	644 0.5×	471 1.0×	303 1.1×	129 0.7×	52	1.8k
Piyush Rai India	19	917 0.5×	1.1k 0.9×	176 0.4×	139 0.5×	82 0.5×	102	2.0k

Countries citing papers authored by Chenping Hou

Since Specialization

Citations

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

Fields of papers citing papers by Chenping Hou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenping Hou

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tao, Hong, et al.. (2025). Confidence-Based PU Learning With Instance-Dependent Label Noise. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14283–14297. 1 indexed citations

Tao, Hong, et al.. (2025). Unaligned multi-view clustering via diversified anchor graph fusion. Pattern Recognition. 170. 111977–111977. 2 indexed citations

Hou, Chenping, et al.. (2024). An adaptive energy-based sequential method for training PINNs to solve gradient flow equations. Applied Mathematics and Computation. 479. 128890–128890. 3 indexed citations

Kuang, Gangyao, Chenping Hou, Yulan Guo, et al.. (2024). Deep Learning for Visual Speech Analysis: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(9). 6001–6022. 21 indexed citations

Hu, Dewen, et al.. (2024). Adaptive Learning for Dynamic Features and Noisy Labels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 1219–1237. 1 indexed citations

Tao, Hong, et al.. (2024). Debiasing weighted multi-view k-means clustering based on causal regularization. Pattern Recognition. 160. 111195–111195. 1 indexed citations

Tao, Hong, et al.. (2024). Compound Weakly Supervised Clustering. IEEE Transactions on Image Processing. 33. 957–971. 2 indexed citations

Peng, Limin, Chenping Hou, Jianpo Su, et al.. (2023). Hippocampus Parcellation via Discriminative Embedded Clustering of fMRI Functional Connectivity. Brain Sciences. 13(5). 757–757.

Hou, Chenping, Ruidong Fan, Ling‐Li Zeng, & Dewen Hu. (2023). Adaptive Feature Selection With Augmented Attributes. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 9306–9324. 12 indexed citations

10.

Zeng, Ling‐Li, Kai Gao, Dewen Hu, et al.. (2023). SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(8). 10427–10442. 21 indexed citations

11.

Fan, Ruidong, et al.. (2023). Feature incremental learning with causality. Pattern Recognition. 146. 110033–110033. 5 indexed citations

12.

Zhang, Jing, et al.. (2023). Constrained clustering with weak label prior. Frontiers of Computer Science. 18(3). 5 indexed citations

13.

Luo, Tingjin, et al.. (2023). Decorrelated spectral regression: An unsupervised dimension reduction method under data selection bias. Neurocomputing. 549. 126406–126406. 4 indexed citations

14.

Tao, Hong, et al.. (2020). Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data. IEEE Transactions on Knowledge and Data Engineering. 34(8). 3826–3840. 16 indexed citations

15.

Luo, Zhiguo, Ling‐Li Zeng, Jian Qin, et al.. (2019). Functional Parcellation of Human Brain Precuneus Using Density-Based Clustering. Cerebral Cortex. 30(1). 269–282. 40 indexed citations

16.

Luo, Zhiguo, Chenping Hou, Lubin Wang, & Dewen Hu. (2019). Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity. Frontiers in Human Neuroscience. 13. 29–29. 15 indexed citations

17.

Hou, Chenping, Ling‐Li Zeng, & Dewen Hu. (2018). Safe Classification with Augmented Features. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(9). 2176–2192. 35 indexed citations

18.

Tao, Hong, Chenping Hou, Jubo Zhu, & Dongyun Yi. (2017). Multi-view Clustering with Adaptively Learned Graph.. Asian Conference on Machine Learning. 113–128. 8 indexed citations

19.

Hou, Chenping, et al.. (2017). Robust auto-weighted multi-view subspace clustering with common subspace representation matrix. PLoS ONE. 12(5). e0176769–e0176769. 20 indexed citations

20.

Hou, Chenping, Feiping Nie, Fei Wang, Changshui Zhang, & Yi Wu. (2011). Semisupervised Learning Using Negative Labels. IEEE Transactions on Neural Networks. 22(3). 420–432. 19 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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