Juanping Zhao

1.6k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Juanping Zhao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, Juanping Zhao has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Aerospace Engineering and 6 papers in Media Technology. Recurrent topics in Juanping Zhao's work include Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers). Juanping Zhao is often cited by papers focused on Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Synthetic Aperture Radar (SAR) Applications and Techniques (8 papers). Juanping Zhao collaborates with scholars based in China, Germany and Romania. Juanping Zhao's co-authors include Zhipeng Deng, Shilin Zhou, Hao Sun, Huanxin Zou, Lin Lei, Zenghui Zhang, Wenxian Yu, Weiwei Guo, Mihai Datcu and Trieu‐Kien Truong and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Juanping Zhao

19 papers receiving 1.1k 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.

Multi-scale object detection in remote sensing imagery with convolutional neural networks

2018 396 citations Zhipeng Deng, Hao Sun et al. ISPRS Journal of Photogrammetry and Remote Sensing profile →

Peers

Juanping Zhao

CVPR

Fangling Pu China

Baojun Zhao China

Changren Zhu China

Boli Xiong China

Danpei Zhao China

Fukun Bi China

Lubin Weng China

Yong Xue China

Bin Zou China

Fangling Pu China

Juanping Zhao

312 ×0.5

CVPR

276 ×0.6

319 ×0.9

100 ×0.7

104 ×0.8

Citations per year, relative to Juanping Zhao Juanping Zhao (= 1×) peers Fangling Pu

Countries citing papers authored by Juanping Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Juanping Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juanping Zhao

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

All Works

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20 of 20 papers shown

Zhang, Dongyuan, et al.. (2024). Efficient Architecture Search for Real-Time Instance Segmentation. 3310–3314.

Datcu, Mihai, Zhongling Huang, Andrei Anghel, Juanping Zhao, & Remus Cacoveanu. (2023). Explainable, Physics-Aware, Trustworthy Artificial Intelligence: A paradigm shift for synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine. 11(1). 8–25. 47 indexed citations

Datcu, Mihai, et al.. (2021). Analyzing the Separability of SAR Classification Dataset in Open Set Conditions. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 7895–7910. 12 indexed citations

Zhao, Juanping, Zenghui Zhang, Wei Yao, et al.. (2020). OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 187–203. 53 indexed citations

Zhao, Juanping, et al.. (2020). Iron ORE Region Segmentation Using High-Resolution Remote Sensing Images Based on Res-U-Net. 2563–2566. 13 indexed citations

Zhao, Juanping. (2020). Research on SAR Image Object/Land Fine Interpretation Methods. elib (German Aerospace Center). 1 indexed citations

Zhao, Juanping, Mihai Datcu, Zenghui Zhang, Huilin Xiong, & Wenxian Yu. (2019). Contrastive-Regulated CNN in the Complex Domain: A Method to Learn Physical Scattering Signatures From Flexible PolSAR Images. IEEE Transactions on Geoscience and Remote Sensing. 57(12). 10116–10135. 36 indexed citations

Zhao, Juanping, Mihai Datcu, Zenghui Zhang, Huilin Xiong, & Wenxian Yu. (2019). Learning Physical Scattering Patterns from PolSAR Images by Using Complex-Valued CNN. elib (German Aerospace Center). 9. 10019–10022. 3 indexed citations

Deng, Zhipeng, Hao Sun, Shilin Zhou, & Juanping Zhao. (2019). Learning Deep Ship Detector in SAR Images From Scratch. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 4021–4039. 107 indexed citations

10.

Deng, Zhipeng, Hao Sun, Shilin Zhou, et al.. (2018). Multi-scale object detection in remote sensing imagery with convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing. 145. 3–22. 396 indexed citations breakdown →

11.

Zhao, Juanping, Zenghui Zhang, Wenxian Yu, & Trieu‐Kien Truong. (2018). A Cascade Coupled Convolutional Neural Network Guided Visual Attention Method for Ship Detection From SAR Images. IEEE Access. 6. 50693–50708. 79 indexed citations

12.

Zhao, Juanping, Weiwei Guo, Zenghui Zhang, & Wenxian Yu. (2018). A coupled convolutional neural network for small and densely clustered ship detection in SAR images. Science China Information Sciences. 62(4). 81 indexed citations

13.

Zhao, Juanping, et al.. (2017). Convolutional Neural Network-based SAR Image Classification with Noisy Labels. SHILAP Revista de lepidopterología. 6(5). 514–523. 3 indexed citations

14.

Zhao, Juanping, Weiwei Guo, Bin Liu, et al.. (2017). Preliminary exploration of SAR image land cover classification with noisy labels. 3274–3277. 8 indexed citations

15.

Deng, Zhipeng, Hao Sun, Shilin Zhou, et al.. (2017). Fast multiclass object detection in optical remote sensing images using region based convolutional neural networks. 858–861. 6 indexed citations

16.

Deng, Zhipeng, Lin Lei, Hao Sun, et al.. (2017). An enhanced deep convolutional neural network for densely packed objects detection in remote sensing images. 1–4. 21 indexed citations

17.

Deng, Zhipeng, Hao Sun, Shilin Zhou, Juanping Zhao, & Huanxin Zou. (2017). Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10(8). 3652–3664. 166 indexed citations

18.

Zhao, Juanping, Weiwei Guo, Shiyong Cui, Zenghui Zhang, & Wenxian Yu. (2016). Convolutional Neural Network for SAR image classification at patch level. elib (German Aerospace Center). 945–948. 31 indexed citations

19.

Guo, Weiwei, Zenghui Zhang, Juanping Zhao, & Wenxian Yu. (2016). Fast topology preserving PolSAR image superpixel segmentation. 6894–6897. 1 indexed citations

20.

Chen, Quansheng, Juanping Zhao, & Jiaxin Cai. (2008). Identification of Tea Varieties Using Computer Vision. Transactions of the ASABE. 51(2). 623–628. 32 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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