Zhao Zhan

858 total citations · 1 hit paper
10 papers, 638 citations indexed

About

Zhao Zhan is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Management, Monitoring, Policy and Law. According to data from OpenAlex, Zhao Zhan has authored 10 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Media Technology, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in Zhao Zhan's work include Remote-Sensing Image Classification (5 papers), Landslides and related hazards (4 papers) and Remote Sensing and Land Use (3 papers). Zhao Zhan is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Landslides and related hazards (4 papers) and Remote Sensing and Land Use (3 papers). Zhao Zhan collaborates with scholars based in China and Hong Kong. Zhao Zhan's co-authors include Min Zhang, Wenzhong Shi, Shanxiong Chen, Rui Zhang, Xin Fang, Hongfei Ke, Li Yan, Nan Mo, Yanran Wang and Yan Li and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Zhao Zhan

10 papers receiving 617 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.

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

2020 423 citations Wenzhong Shi, Min Zhang et al. Remote Sensing profile →

Peers

Zhao Zhan

MT

AS

ECOLO

GPC

MMPL

Shanxiong Chen China

Rodrigo Caye Daudt Switzerland

Tongfei Liu China

Xianwei Lv China

Anzhi Yue China

Leonardo S. Bins Brazil

Hui Lin China

Osama Yousif Sweden

Guangbo Ren China

Reza Shah–Hosseini Iran

Shanxiong Chen China

Zhao Zhan

460 ×1.2

MT

281 ×1.0

AS

197 ×1.1

ECOLO

114 ×0.9

GPC

161 ×1.5

MMPL

Citations per year, relative to Zhao Zhan Zhao Zhan (= 1×) peers Shanxiong Chen

Countries citing papers authored by Zhao Zhan

Since Specialization

Citations

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

Fields of papers citing papers by Zhao Zhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhao Zhan

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

10 of 10 papers shown

1.

Zhan, Zhao, et al.. (2023). FR-weighted GeoDetector for landslide susceptibility and driving factors analysis. Geomatics Natural Hazards and Risk. 14(1). 11 indexed citations

2.

Zhan, Zhao, et al.. (2022). Landslide Trail Extraction Using Fire Extinguishing Model. Remote Sensing. 14(2). 308–308. 4 indexed citations

3.

Shi, Wenzhong, Min Zhang, Rui Zhang, Shanxiong Chen, & Zhao Zhan. (2020). Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges. Remote Sensing. 12(10). 1688–1688. 423 indexed citations breakdown →

4.

Shi, Wenzhong, Min Zhang, Hongfei Ke, et al.. (2020). Landslide Recognition by Deep Convolutional Neural Network and Change Detection. IEEE Transactions on Geoscience and Remote Sensing. 59(6). 4654–4672. 119 indexed citations

5.

Zhang, Min, Wenzhong Shi, Shanxiong Chen, Zhao Zhan, & Zhi‐Cheng Shi. (2020). Deep Multiple Instance Learning for Landslide Mapping. IEEE Geoscience and Remote Sensing Letters. 18(10). 1711–1715. 18 indexed citations

6.

Mo, Nan, et al.. (2018). Deshadowing of Urban Airborne Imagery Based on Object-Oriented Automatic Shadow Detection and Regional Matching Compensation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 11(2). 585–605. 34 indexed citations

7.

Jiang, Weiwei, et al.. (2018). A Boundary Parallel-Like Index for High-Resolution Remotely Sensed Imagery Classification. International Journal of Pattern Recognition and Artificial Intelligence. 33(4). 1954014–1954014. 2 indexed citations

8.

Li, Yan, Xia Wang, Zhao Zhan, & Yanran Wang. (2018). A Novel Approach to Unsupervised Change Detection Based on Hybrid Spectral Difference. Remote Sensing. 10(6). 841–841. 21 indexed citations

9.

Zhan, Zhao, et al.. (2017). Improving Spatial Resolution of WorldView SWIR Imagery Based on Image Fusion. Bulletin of Surveying and Mapping. 16. 1 indexed citations

10.

Yan, Li, Hong Xie, & Zhao Zhan. (2010). A new method of cylinder reconstruction based on unorganized point cloud. i6. 1–5. 5 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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