Guichao Lin
- Plant Science top 5%
- Smart Agriculture and AI 20
- Date Palm Research Studies 6
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses 8
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- Industrial Vision Systems and Defect Detection 6
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- Image and Object Detection Techniques 2
- Environmental Engineering top 10%
- Remote Sensing and LiDAR Applications 2
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- Advanced Chemical Sensor Technologies 3
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- Tree Root and Stability Studies 3
- Co-authors
- Xiangjun ZouYunchao TangJuntao XiongJinhui LiHongjun WangLixue ZhuChenglin WangLufeng Luo
- Journals
- Computers and Electronics in Agriculture (4 papers)Agronomy (3 papers)Frontiers in Plant Science (3 papers)
- Partner nations
- China
In The Last Decade
Guichao Lin
21 papers receiving 986 citations
Peers
Comparison fields: 5 of 80
- Plant Science 794
- Analytical Chemistry 188
- Industrial and Manufacturing Engineering 125
- Computer Vision and Pattern Recognition 159
- Environmental Engineering 91
Countries citing papers authored by Guichao Lin
This map shows the geographic impact of Guichao Lin'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 Guichao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guichao Lin more than expected).
Fields of papers citing papers by Guichao Lin
This network shows the impact of papers produced by Guichao Lin. 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 Guichao Lin. The network helps show where Guichao Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guichao Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 10 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 45 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 0 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 112 | |
| 11 | 2021 | 33 | |
| 12 | 2020 | 116 | |
| 13 | 2019 | 122 | |
| 14 | 2019 | 139 | |
| 15 | 2019 | 60 | |
| 16 | 2019 | 88 | |
| 17 | 2019 | 118 | |
| 18 | 2018 | 10 | |
| 19 | Sub-Pixel object-Image Registration Using Improved Iterative Closest Point Method | 2016 | 1 |
| 20 | 2013 | 8 |
About Guichao Lin
Guichao Lin is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Plant Science, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (8 papers), Date Palm Research Studies (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Advanced Chemical Sensor Technologies (3 papers), Tree Root and Stability Studies (3 papers), Remote Sensing and LiDAR Applications (2 papers) and Image and Object Detection Techniques (2 papers). The work is most often cited by research in Plant Science (794 citations), Analytical Chemistry (188 citations) and Industrial and Manufacturing Engineering (125 citations). Guichao Lin has collaborated with scholars based in China. Frequent co-authors include Xiangjun Zou, Yunchao Tang, Juntao Xiong, Jinhui Li, Hongjun Wang, Lixue Zhu, Chenglin Wang, Lufeng Luo, Jieli Duan and Zhou Yang. Their work appears in journals such as Computers and Electronics in Agriculture, Agronomy, Frontiers in Plant Science, Precision Agriculture and Horticulturae.
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.