Min Zhao

1.8k total citations
94 papers, 1.2k citations indexed

About

Min Zhao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Min Zhao has authored 94 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Media Technology, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Biomedical Engineering. Recurrent topics in Min Zhao's work include Remote-Sensing Image Classification (25 papers), Advanced Image Fusion Techniques (23 papers) and Remote Sensing and Land Use (14 papers). Min Zhao is often cited by papers focused on Remote-Sensing Image Classification (25 papers), Advanced Image Fusion Techniques (23 papers) and Remote Sensing and Land Use (14 papers). Min Zhao collaborates with scholars based in China, United States and Canada. Min Zhao's co-authors include Jie Chen, Susanto Rahardja, Mou Wang, Longbin Yan, Eileen Kowler, Brian S. Schnitzer, Barbara Anne Dosher, Timothy M. Gersch, Nicolas Dobigeon and Shu Hui Wu and has published in prestigious journals such as The Science of The Total Environment, Water Research and The Journal of Comparative Neurology.

In The Last Decade

Min Zhao

82 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Min Zhao China	21	560	275	218	171	129	94	1.2k
Grigorios Tsagkatakis Greece	16	294 0.5×	109 0.4×	374 1.7×	77 0.5×	90 0.7×	77	887
Andrea Giorgi Italy	17	290 0.5×	196 0.7×	119 0.5×	209 1.2×	42 0.3×	62	897
Sarp Ertürk Türkiye	13	435 0.8×	232 0.8×	239 1.1×	158 0.9×	60 0.5×	62	833
Xiaobo Liu China	22	797 1.4×	378 1.4×	385 1.8×	172 1.0×	53 0.4×	63	1.5k
Wei Song China	20	308 0.6×	120 0.4×	1.1k 4.9×	107 0.6×	64 0.5×	127	2.0k
Lei Hu China	18	165 0.3×	140 0.5×	258 1.2×	95 0.6×	109 0.8×	87	974
Yao Qin China	22	509 0.9×	154 0.6×	892 4.1×	108 0.6×	59 0.5×	79	1.9k
Wei Tang United States	21	488 0.9×	156 0.6×	357 1.6×	143 0.8×	40 0.3×	85	1.5k
Jing Hu China	15	482 0.9×	106 0.4×	464 2.1×	44 0.3×	35 0.3×	58	848
Bingliang Hu China	17	255 0.5×	73 0.3×	295 1.4×	52 0.3×	52 0.4×	148	1.1k

Countries citing papers authored by Min Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Min Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Zhao. A scholar is included among the top collaborators of Min 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 Min Zhao. Min Zhao 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

Yang, Jian, et al.. (2025). Cost-Effectiveness of Sorafenib, Lenvatinib, and FOLFOX4 for Advanced Hepatocellular Carcinoma in China. Journal of Health Science and Medical Research. 20251153–20251153. 1 indexed citations

Liu, Yanyan, et al.. (2025). The role of different DOMs in the degradation of ciprofloxacin under UV222 and UV222/percarbonate systems. Environmental Technology & Innovation. 39. 104218–104218. 1 indexed citations

Kang, Zhi‐Hui, et al.. (2025). State Recognition Method of Power Equipment in Smart Grid Based on Machine Learning. International Journal of Pattern Recognition and Artificial Intelligence. 39(5).

Zhao, Min, et al.. (2025). Unrolling Plug-and-Play Network for Hyperspectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–13. 1 indexed citations

Luo, Jing, et al.. (2024). Effects of tritium pollution on photosynthesis, respiration and redox of microalgae under rising temperature. The Science of The Total Environment. 958. 177766–177766.

Chen, Jiawei, Lin Du, Jian Liu, et al.. (2024). Far-UVC Radiation Activating Percarbonate to Accelerate the Removal of Methotrexate: Degradation Efficiency, Mechanisms, and Moiety-Dependence Transformation. ACS ES&T Water. 4(7). 3089–3098. 8 indexed citations

Zhao, Min, Jie Chen, & Nicolas Dobigeon. (2024). AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–15. 14 indexed citations

Liu, Hongqiang, et al.. (2023). Synthesis of thiophosphates by visible-light Daual photoredox/nickel catalysis. Tetrahedron. 136. 133338–133338. 7 indexed citations

Chen, Jie, et al.. (2023). Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing: A summary of current methods. IEEE Signal Processing Magazine. 40(2). 61–74. 51 indexed citations

10.

Zhao, Min, et al.. (2023). Design and Implementation of Pipeline Detection Robot with Three-Dimensional Scanning Capability. 1–6. 1 indexed citations

11.

Zhao, Min, et al.. (2023). Preparation and properties of UV cation-initiated self-crosslinking acrylate pressure-sensitive adhesive without reactive diluent. Progress in Organic Coatings. 181. 107572–107572. 12 indexed citations

12.

Zhao, Min, et al.. (2023). A Survey of Target Detection Based on Deep Learning. Proceedings of International Conference on Artificial Life and Robotics. 28. 229–232. 2 indexed citations

13.

Lai, Fuming, Min Zhao, & Shengfu Tong. (2023). Surface energy calculation of brookite TiO2 using Inverse Wulff Construction. Journal of Physics Conference Series. 2553(1). 12043–12043.

14.

Zhao, Min, et al.. (2022). A 3-D-CNN Framework for Hyperspectral Unmixing With Spectral Variability. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–14. 36 indexed citations

15.

Zhao, Min, Weizheng Yan, Rongtao Xu, et al.. (2021). An Attention-Based Hybrid Deep Learning Framework Integrating Temporal Coherence And Dynamics For Discriminating Schizophrenia. 118–121. 6 indexed citations

16.

Yang, Xiaoli, et al.. (2021). Multiscale-Superpixel-Based SparseCEM for Hyperspectral Target Detection. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 13 indexed citations

17.

Zhao, Min, Jie Chen, & Zhe He. (2019). A Laboratory-Created Dataset With Ground Truth for Hyperspectral Unmixing Evaluation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12(7). 2170–2183. 17 indexed citations

18.

Zhao, Min, et al.. (2019). Research on ISAR Far-field Imaging Algorithms. 1–3. 1 indexed citations

19.

Zhao, Min. (2015). A multi-channel multiplexing compressive remote sensing approach based on non-local similarity constraint. JOURNAL OF INFRARED AND MILLIMETER WAVES. 1 indexed citations

20.

Zhao, Min, et al.. (2013). Inferring strategies of maze navigation from the movements of the eye and arm. Journal of Vision. 13(9). 124–124.

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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