Bei Zhao

2.2k total citations · 2 hit papers
22 papers, 1.8k citations indexed

About

Bei Zhao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Bei Zhao has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 13 papers in Computer Vision and Pattern Recognition and 6 papers in Atmospheric Science. Recurrent topics in Bei Zhao's work include Remote-Sensing Image Classification (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Remote Sensing and Land Use (6 papers). Bei Zhao is often cited by papers focused on Remote-Sensing Image Classification (17 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Remote Sensing and Land Use (6 papers). Bei Zhao collaborates with scholars based in China and Hong Kong. Bei Zhao's co-authors include Yanfei Zhong, Liangpei Zhang, Bo Huang, Yimeng Song, Gui-Song Xia, Qiqi Zhu, Liangpei Zhang, Hongzan Jiao, Ailong Ma and Fei Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Bei Zhao

22 papers receiving 1.7k 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.

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

2018 474 citations Bo Huang, Bei Zhao et al. Remote Sensing of Environment profile →
Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery

2016 306 citations Qiqi Zhu, Yanfei Zhong et al. IEEE Geoscience and Remote Sensing Letters profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bei Zhao China	16	1.3k	764	646	366	311	22	1.8k
Dongping Ming China	23	866 0.7×	309 0.4×	533 0.8×	429 1.2×	529 1.7×	101	1.8k
Ruyi Feng China	22	829 0.6×	482 0.6×	391 0.6×	174 0.5×	169 0.5×	68	1.4k
Keiller Nogueira Brazil	13	1000 0.8×	794 1.0×	402 0.6×	371 1.0×	173 0.6×	30	1.7k
Michele Volpi Switzerland	22	1.4k 1.0×	766 1.0×	712 1.1×	606 1.7×	334 1.1×	61	2.4k
Jian Kang China	22	946 0.7×	736 1.0×	392 0.6×	200 0.5×	248 0.8×	91	2.1k
Farhad Samadzadegan Iran	27	776 0.6×	460 0.6×	349 0.5×	329 0.9×	182 0.6×	128	1.9k
Otávio A. B. Penatti Brazil	15	1.1k 0.8×	1.1k 1.5×	409 0.6×	286 0.8×	140 0.5×	42	2.1k
Giovanna Trianni Italy	10	1.4k 1.1×	360 0.5×	946 1.5×	423 1.2×	317 1.0×	24	1.9k
Erzhu Li China	19	752 0.6×	398 0.5×	471 0.7×	310 0.8×	198 0.6×	62	1.3k
Chunping Qiu China	20	658 0.5×	357 0.5×	417 0.6×	322 0.9×	529 1.7×	66	1.6k

Countries citing papers authored by Bei Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Bei Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Zhao

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

Yin, Lei, Bei Zhao, Jie Zhou, et al.. (2024). A Carbon‐Caged Rhodamine Generating Nitrosoperoxycarbonate for Photoimmunotherapy. Angewandte Chemie. 136(26). 3 indexed citations

Shi, Lei, et al.. (2018). THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE. SHILAP Revista de lepidopterología. XLII-3. 2089–2091. 1 indexed citations

Huang, Bo, Bei Zhao, & Yimeng Song. (2018). Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery. Remote Sensing of Environment. 214. 73–86. 474 indexed citations breakdown →

Zhong, Yanfei, Qiong Cao, Ji Zhao, et al.. (2017). Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data. Remote Sensing. 9(8). 868–868. 66 indexed citations

Zhong, Yanfei, Siqi Wu, & Bei Zhao. (2017). Scene Semantic Understanding Based on the Spatial Context Relations of Multiple Objects. Remote Sensing. 9(10). 1030–1030. 21 indexed citations

Zhao, Bei, Bo Huang, & Yanfei Zhong. (2017). Transfer Learning With Fully Pretrained Deep Convolution Networks for Land-Use Classification. IEEE Geoscience and Remote Sensing Letters. 14(9). 1436–1440. 92 indexed citations

Zhao, Bei, Yanfei Zhong, Ailong Ma, & Liangpei Zhang. (2016). A Spatial Gaussian Mixture Model for Optical Remote Sensing Image Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(12). 5748–5759. 25 indexed citations

Zhao, Bei, Yanfei Zhong, Liangpei Zhang, & Bo Huang. (2016). The Fisher Kernel Coding Framework for High Spatial Resolution Scene Classification. Remote Sensing. 8(2). 157–157. 88 indexed citations

Han, Xiaobing, Yanfei Zhong, Bei Zhao, & Liangpei Zhang. (2016). Scene classification based on a hierarchical convolutional sparse auto-encoder for high spatial resolution imagery. International Journal of Remote Sensing. 38(2). 514–536. 39 indexed citations

10.

Zhu, Qiqi, Yanfei Zhong, Bei Zhao, Gui-Song Xia, & Liangpei Zhang. (2016). Bag-of-Visual-Words Scene Classifier With Local and Global Features for High Spatial Resolution Remote Sensing Imagery. IEEE Geoscience and Remote Sensing Letters. 13(6). 747–751. 306 indexed citations breakdown →

11.

Zhao, Bei, Yanfei Zhong, & Liangpei Zhang. (2016). A spectral–structural bag-of-features scene classifier for very high spatial resolution remote sensing imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 116. 73–85. 120 indexed citations

12.

Ma, Ailong, Yanfei Zhong, Bei Zhao, Hongzan Jiao, & Liangpei Zhang. (2016). Semisupervised Subspace-Based DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 54(8). 4402–4418. 20 indexed citations

13.

Han, Xiaobing, Yanfei Zhong, Bei Zhao, & Liangpei Zhang. (2015). Unsupervised hierarchical convolutional sparse auto-encoder for high spatial resolution imagery scene classification. 42–46. 7 indexed citations

14.

Ma, Ailong, Yanfei Zhong, Bei Zhao, Hongzan Jiao, & Liangpei Zhang. (2015). Spectral-spatial DNA encoding discriminative classifier for hyperspectral remote sensing imagery. 1710–1713. 1 indexed citations

15.

Zhao, Bei, Yanfei Zhong, Gui-Song Xia, & Liangpei Zhang. (2015). Dirichlet-Derived Multiple Topic Scene Classification Model for High Spatial Resolution Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing. 54(4). 2108–2123. 280 indexed citations

16.

Zhu, Qiqi, Yanfei Zhong, Bei Zhao, Gui-Song Xia, & Liangpei Zhang. (2015). The bag-of-visual-words scene classifier combining local and global features for high spatial resolution imagery. 717–721. 13 indexed citations

17.

Zhong, Yanfei, Bei Zhao, & Liangpei Zhang. (2013). Multiagent Object-Based Classifier for High Spatial Resolution Imagery. IEEE Transactions on Geoscience and Remote Sensing. 52(2). 841–857. 40 indexed citations

18.

Zhao, Bei, Yanfei Zhong, & Liangpei Zhang. (2013). Scene classification via latent Dirichlet allocation using a hybrid generative/discriminative strategy for high spatial resolution remote sensing imagery. Remote Sensing Letters. 4(12). 1204–1213. 45 indexed citations

19.

Zhao, Bei, Yanfei Zhong, & Liangpei Zhang. (2013). Hybrid generative/discriminative scene classification strategy based on latent dirichlet allocation for high spatial resolution remote sensing imagery. 196–199. 19 indexed citations

20.

Zhao, Bei, et al.. (2010). Freight volume forecasting method based on Gray Neural Network model. 9. 216–219. 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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