Guo Cao

2.1k citations
76 papers · 1.5k · 1 hit paper · h-index 20

Impact in

Papers in

Guo Cao

70 papers receiving 1.5k citations

Hit Papers

Deep Learning-Based Change Detection in Remote Sensing Images: A Review 2022 · 238 citations
2380+1+2Years since publication50100150200

Peers

Guo Cao
Comparison fields: 5 of 115
  • Media Technology 878
  • Atmospheric Science 542
  • Computer Vision and Pattern Recognition 516
  • Ecology 260
  • Artificial Intelligence 310
Replace Yao Ding with:
Yao Ding China
Liangcun Jiang China
Mingyang Zhang China
Zhiqiang Gong China
Ping Zhong China
Guangluan Xu China
Xia Xu China
Yuhui Zheng China
Michael Kampffmeyer Norway
Junjue Wang China
Guo Cao relative to Yao Ding China Yao Ding's profile →
Citations per field
00.5×10×15.4×
Yao Ding · 1×
Citations per year

Countries citing papers authored by Guo Cao

Since Specialization
Citations

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

Fields of papers citing papers by Guo Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guo Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guo Cao Line = papers co-authored together Guo Cao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Hit paper breakdown →
2022238
2 2020123
3 2018104
4 201899
5 201465
6 201561
7 201656
8 201954
9 201647
10 201446
11 201937
12 201733
13 202327
14 202227
15 202125
16 202324
17 200823
18 201122
19 201120
20 202120

About Guo Cao

Guo Cao is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Atmospheric Science, Artificial Intelligence and Ecology, having authored 76 papers that have together received 1.5k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (37 papers), Remote Sensing and Land Use (25 papers), Advanced Image Fusion Techniques (15 papers), Video Surveillance and Tracking Methods (9 papers), Remote Sensing in Agriculture (7 papers), Anomaly Detection Techniques and Applications (7 papers), Image Retrieval and Classification Techniques (7 papers) and Image and Signal Denoising Methods (7 papers). The work is most often cited by research in Media Technology (878 citations), Atmospheric Science (542 citations), Computer Vision and Pattern Recognition (516 citations), Ecology (260 citations) and Artificial Intelligence (310 citations). Guo Cao has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Youqiang Zhang, Bisheng Wang, Peng Fu, Ayesha Shafique, Muhammad Asad, Zia U. Khan, Muhammad Aslam, Quansen Sun, Yanfeng Shang and Yupeng Li. Their work appears in journals such as Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, International Journal of Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing and Journal of Visual Communication and Image Representation.

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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