Chen Zhao

3.2k total citations · 1 hit paper
72 papers, 1.4k citations indexed

About

Chen Zhao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Chen Zhao has authored 72 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Chen Zhao's work include Image and Signal Denoising Methods (14 papers), Sparse and Compressive Sensing Techniques (13 papers) and Human Pose and Action Recognition (7 papers). Chen Zhao is often cited by papers focused on Image and Signal Denoising Methods (14 papers), Sparse and Compressive Sensing Techniques (13 papers) and Human Pose and Action Recognition (7 papers). Chen Zhao collaborates with scholars based in China, Saudi Arabia and United States. Chen Zhao's co-authors include Jian Zhang, Wen Gao, Siwei Ma, Ruiqin Xiong, Bernard Ghanem, Zhen Wang, Wenbo Du, Oriol Lordan, Yanbo Zhu and Yongbing Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and IEEE Transactions on Image Processing.

In The Last Decade

Chen Zhao

63 papers receiving 1.4k citations

Hit Papers

Analysis of the Chinese Airline Network as multi-layer ne... 2016 2026 2019 2022 2016 50 100 150 200 250
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. Analysis of the Chinese Airline Network as multi-layer networks
    2016 253 citations Chen Zhao 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
Chen Zhao China 15 876 412 233 197 170 72 1.4k
Chun-Guang Li China 18 1.2k 1.3× 160 0.4× 233 1.0× 422 2.1× 235 1.4× 59 1.6k
Miao Zhang China 29 1.5k 1.7× 76 0.2× 62 0.3× 474 2.4× 304 1.8× 160 2.2k
Piotr Koniusz Australia 25 1.6k 1.8× 63 0.2× 136 0.6× 1.2k 6.1× 370 2.2× 67 2.2k
Ali Taylan Cemgil Türkiye 20 601 0.7× 198 0.5× 44 0.2× 524 2.7× 25 0.1× 149 1.9k
Hongyang Chao China 22 2.1k 2.3× 107 0.3× 257 1.1× 519 2.6× 377 2.2× 87 2.6k
Fanhua Shang China 26 1.2k 1.3× 744 1.8× 61 0.3× 741 3.8× 349 2.1× 99 2.1k
Yuanyuan Liu China 22 428 0.5× 497 1.2× 67 0.3× 333 1.7× 107 0.6× 85 1.3k
Dacheng Tao Australia 19 2.1k 2.4× 303 0.7× 316 1.4× 655 3.3× 619 3.6× 26 2.6k

Countries citing papers authored by Chen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Chen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Zhao. A scholar is included among the top collaborators of Chen Zhao 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 Chen Zhao. Chen Zhao 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.
Chen, Bin, Chen Zhao, Jiwen Yu, et al.. (2025). Invertible Diffusion Models for Compressed Sensing. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(5). 3992–4006. 3 indexed citations
2.
Zhao, Chen, et al.. (2025). An Abnormal Monitoring Model forSymbiosis Monitoring Data of EcologicalEnvironment Based on Density Clustering. Polish Journal of Environmental Studies. 34(5). 6483–6498.
3.
Gao, Zhipeng, et al.. (2024). Adaptive Clipping and Distillation Enabled Federated Unlearning. 2. 748–756. 1 indexed citations
4.
Hinojosa, Carlos, et al.. (2024). Co2Wounds-V2: Extended Chronic Wounds Dataset from Leprosy Patients. 69–75.
5.
Zhao, Chen, Shuming Liu, Karttikeya Mangalam, et al.. (2024). Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning. 15835–15844. 2 indexed citations
6.
Liu, Shuming, Chen-Lin Zhang, Chen Zhao, & Bernard Ghanem. (2024). End-to-End Temporal Action Detection with 1B Parameters Across 1000 Frames. 18591–18601. 13 indexed citations
7.
Liu, Steven, Xinwei Xu, Qihua Le, et al.. (2024). Benchmarking four large language models’ performance of addressing Chinese patients' inquiries about dry eye disease: A two-phase study. Heliyon. 10(14). e34391–e34391. 10 indexed citations
8.
Zhao, Chen, et al.. (2024). Can agricultural financial support promote high-quality development in rural areas of China?. Applied Economics Letters. 1–9. 1 indexed citations
9.
Wang, Ningwei, et al.. (2023). Complex-Valued Fully Convolutional Network for PolSAR Image Classification with Noisy Labels. 19. 5962–5965. 2 indexed citations
10.
Jiang, Han, Junfang Wang, Chen Zhao, et al.. (2023). Assessment of identification performance for high emission heavy-duty diesel vehicles by means of remote sensing. The Science of The Total Environment. 912. 168851–168851. 4 indexed citations
11.
Zhao, Chen, et al.. (2020). Manifold-Regularized Regression Network A Novel End-to-End Method for Cell Counting and Localization. 121–124. 3 indexed citations
12.
Zhang, Jian, Chen Zhao, & Wen Gao. (2020). Optimization-Inspired Compact Deep Compressive Sensing. IEEE Journal of Selected Topics in Signal Processing. 14(4). 765–774. 147 indexed citations
13.
Zhao, Chen, Feng Zhou, Bin Yang, et al.. (2020). A Novel General Semisupervised Deep Learning Framework for Classification and Regression with Remote Sensing Images. 1323–1326. 2 indexed citations
14.
Jia, Yang, et al.. (2018). An Approach for Chinese Character Captcha Recognition Using CNN. Journal of Physics Conference Series. 1087. 22015–22015. 3 indexed citations
15.
16.
Ye, Chengxi, Chen Zhao, Yezhou Yang, Cornelia Fermüller, & Yiannis Aloimonos. (2016). LightNet. 1156–1159. 13 indexed citations
17.
Zhao, Chen, Jian Zhang, Siwei Ma, & Wen Gao. (2016). Nonconvex Lp Nuclear Norm based ADMM Framework for Compressed Sensing. 161–170. 26 indexed citations
18.
Zhao, Chen, Siwei Ma, Jian Zhang, Ruiqin Xiong, & Wen Gao. (2016). Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity. IEEE Transactions on Circuits and Systems for Video Technology. 27(6). 1182–1195. 91 indexed citations
19.
Zhao, Chen, Jian Zhang, Siwei Ma, Ruiqin Xiong, & Wen Gao. (2015). A dual structured-sparsity model for compressive-sensed video reconstruction. 13. 1–4. 2 indexed citations
20.
Zhao, Chen, et al.. (2014). Equivalent source reconstruction in inhomogeneous electromagnetic media. Acta Physica Sinica. 63(7). 78702–78702. 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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