Gui Cheng

18 papers receiving 276 citations

Peers

Gui Cheng
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 103
  • Global and Planetary Change 103
  • Media Technology 34
  • Ecological Modeling 12
  • Atmospheric Science 45
Replace Stefano D’Aronco with:
Stefano D’Aronco Switzerland
Hongxia Luo China
James V. Aanstoos United States
Urša Kanjir Slovenia
Massimiliano Gargiulo Italy
Jyun-Ping Jhan Taiwan
Dibyajyoti Chutia India
Xiaomin Jin China
Wei-Hao Wu China
Gui Cheng relative to Stefano D’Aronco Switzerland Stefano D’Aronco's profile →
Citations per field
00.5×1.7×
Stefano D’Aronco · 1×
Citations per year

Countries citing papers authored by Gui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Gui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gui Cheng, 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 Gui Cheng Line = papers co-authored together Gui Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021106
2 202183
3 202332
4 202211
5 202311
6 202210
7 20247
8 20226
9 20233
10 20233
11 20232
12 20222
13 20252
14 20242
15
Therapeutic effects of osalmide on chronic viral hepatitis B
19991
16 20251
17 19851
18 20221
19 20250
20 20250

About Gui Cheng

Gui Cheng is a scholar working on Structural Biology, Media Technology, Computer Vision and Pattern Recognition, Ecological Modeling and Ecology, having authored 22 papers that have together received 284 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (7 papers), Advanced Image Fusion Techniques (5 papers), Advanced Neural Network Applications (5 papers), Remote-Sensing Image Classification (4 papers), Video Surveillance and Tracking Methods (3 papers), Plant Water Relations and Carbon Dynamics (3 papers), Robotics and Sensor-Based Localization (2 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (103 citations), Global and Planetary Change (103 citations), Media Technology (34 citations), Ecological Modeling (12 citations) and Atmospheric Science (45 citations). Gui Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenfeng Shao, Xiao Huang, Chaoya Dang, Jiaming Wang, Jiaxin Qian, Zhongyuan Wang, Deren Li, Jiayi Ma, Qing Ding and Yewen Fan. Their work appears in journals such as Photogrammetric Engineering & Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, International Journal of Digital Earth, IEEE Transactions on Intelligent Transportation Systems and IEEE Geoscience and Remote Sensing Letters.

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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