Peicheng Zhou

4.8k total citations · 3 hit papers
24 papers, 3.9k citations indexed

About

Peicheng Zhou is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Peicheng Zhou has authored 24 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Media Technology and 8 papers in Aerospace Engineering. Recurrent topics in Peicheng Zhou's work include Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Infrared Target Detection Methodologies (7 papers). Peicheng Zhou is often cited by papers focused on Remote-Sensing Image Classification (18 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Infrared Target Detection Methodologies (7 papers). Peicheng Zhou collaborates with scholars based in China and Australia. Peicheng Zhou's co-authors include Gong Cheng, Junwei Han, Lei Guo, Dong Xu, Baochang Zhang, Xiwen Yao, Xintao Hu, Shuhui Bu, Zhenbao Liu and Xun Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Remote Sensing.

In The Last Decade

Peicheng Zhou

23 papers receiving 3.7k citations

Hit Papers

Learning Rotation-Invariant Convolutional Neural Networks... 2014 2026 2018 2022 2016 2014 2018 400 800 1.2k

Peers

Peicheng Zhou
Hao Sun China
Xu Tang China
Xiwen Yao China
Peng Ren China
Biao Hou China
Wen Yang China
Gang Wan China
Feng Gao China
Peicheng Zhou
Citations per year, relative to Peicheng Zhou Peicheng Zhou (= 1×) peers Wenhui Diao

Countries citing papers authored by Peicheng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Peicheng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peicheng Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Peicheng Zhou. A scholar is included among the top collaborators of Peicheng Zhou 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 Peicheng Zhou. Peicheng Zhou 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
2.
Wang, Keyan, et al.. (2024). AFE-Net: Attention-Guided Feature Enhancement Network for Infrared Small Target Detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 4208–4221. 16 indexed citations
3.
Wang, Zhi, et al.. (2024). Intelligent target recognition method for infrared/laser composite fuze. Journal of Physics Conference Series. 2891(15). 152009–152009.
4.
Cheng, Gong, et al.. (2023). Instance-Aware Distillation for Efficient Object Detection in Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 65 indexed citations
5.
Wang, Guangxing, Gong Cheng, Peicheng Zhou, & Junwei Han. (2023). Cross-Level Attentive Feature Aggregation for Change Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 6051–6062. 22 indexed citations
6.
Yao, Yanqing, Gong Cheng, Guangxing Wang, et al.. (2022). On Improving Bounding Box Representations for Oriented Object Detection. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–11. 94 indexed citations
7.
Zhou, Peicheng, Gong Cheng, Xiwen Yao, & Junwei Han. (2021). Machine learning paradigms in high-resolution remote sensing image interpretation. National Remote Sensing Bulletin. 25(1). 182–197. 17 indexed citations
8.
Cheng, Gong, Junwei Han, Peicheng Zhou, & Dong Xu. (2018). Learning Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection. IEEE Transactions on Image Processing. 28(1). 265–278. 343 indexed citations breakdown →
9.
Yang, Xun, Peicheng Zhou, & Meng Wang. (2018). Person Reidentification via Structural Deep Metric Learning. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 2987–2998. 102 indexed citations
10.
Cheng, Gong, Peicheng Zhou, & Junwei Han. (2017). Duplex Metric Learning for Image Set Classification. IEEE Transactions on Image Processing. 27(1). 281–292. 111 indexed citations
11.
12.
Cheng, Gong, Peicheng Zhou, & Junwei Han. (2016). RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection. 2884–2893. 120 indexed citations
13.
Cheng, Gong, Peicheng Zhou, & Junwei Han. (2016). Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 54(12). 7405–7415. 1406 indexed citations breakdown →
14.
15.
Cheng, Gong, Peicheng Zhou, Junwei Han, Lei Guo, & Jungong Han. (2015). Auto‐encoder‐based shared mid‐level visual dictionary learning for scene classification using very high resolution remote sensing images. IET Computer Vision. 9(5). 639–647. 58 indexed citations
16.
Zhou, Peicheng, Dingwen Zhang, Gong Cheng, & Junwei Han. (2015). Negative Bootstrapping for Weakly Supervised Target Detection in Remote Sensing Images. 10 indexed citations
17.
Zhou, Peicheng, Gong Cheng, Zhenbao Liu, Shuhui Bu, & Xintao Hu. (2015). Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping. Multidimensional Systems and Signal Processing. 27(4). 925–944. 80 indexed citations
18.
Han, Junwei, Peicheng Zhou, Dingwen Zhang, et al.. (2014). Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding. ISPRS Journal of Photogrammetry and Remote Sensing. 89. 37–48. 169 indexed citations
19.
Cheng, Gong, Junwei Han, Peicheng Zhou, et al.. (2014). Sparse coding based airport detection from medium resolution Landsat-7 satellite remote sensing images. 32. 226–230. 2 indexed citations
20.
Cheng, Gong, Junwei Han, Lei Guo, et al.. (2013). Object detection in remote sensing imagery using a discriminatively trained mixture model. ISPRS Journal of Photogrammetry and Remote Sensing. 85. 32–43. 146 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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