Guichao Lin

1.3k total citations
22 papers, 1.0k citations indexed

About

Guichao Lin is a scholar working on Plant Science, Analytical Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Guichao Lin has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 8 papers in Analytical Chemistry and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Guichao Lin's work include Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (8 papers) and Date Palm Research Studies (6 papers). Guichao Lin is often cited by papers focused on Smart Agriculture and AI (20 papers), Spectroscopy and Chemometric Analyses (8 papers) and Date Palm Research Studies (6 papers). Guichao Lin collaborates with scholars based in China. Guichao Lin's co-authors include Xiangjun Zou, Yunchao Tang, Juntao Xiong, Jinhui Li, Hongjun Wang, Lixue Zhu, Chenglin Wang, Lufeng Luo, Jieli Duan and Zhou Yang and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Plant Science.

In The Last Decade

Guichao Lin

21 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guichao Lin China	12	794	188	159	126	125	22	1.0k
Chenglin Wang China	14	750 0.9×	195 1.0×	208 1.3×	123 1.0×	125 1.0×	32	1.2k
Fuzeng Yang China	17	606 0.8×	237 1.3×	191 1.2×	203 1.6×	111 0.9×	50	1.1k
Yunong Tian China	11	809 1.0×	282 1.5×	306 1.9×	115 0.9×	171 1.4×	34	1.4k
Jidong Lv China	14	515 0.6×	155 0.8×	126 0.8×	125 1.0×	50 0.4×	48	803
R. Barth Netherlands	11	751 0.9×	82 0.4×	125 0.8×	221 1.8×	59 0.5×	18	975
Cheryl McCarthy Australia	12	979 1.2×	255 1.4×	124 0.8×	81 0.6×	86 0.7×	31	1.2k
Juntao Xiong China	21	1.2k 1.5×	410 2.2×	215 1.4×	139 1.1×	225 1.8×	49	1.6k
Hongjun Wang China	13	445 0.6×	111 0.6×	114 0.7×	78 0.6×	83 0.7×	45	692
Huanyu Jiang China	19	1.1k 1.3×	360 1.9×	122 0.8×	121 1.0×	64 0.5×	85	1.5k
Amy Tabb United States	15	565 0.7×	148 0.8×	151 0.9×	61 0.5×	39 0.3×	31	865

Countries citing papers authored by Guichao Lin

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Guichao Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Guichao Lin. A scholar is included among the top collaborators of Guichao Lin 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 Guichao Lin. Guichao Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lin, Guichao, et al.. (2023). Efficient detection and picking sequence planning of tea buds in a high-density canopy. Computers and Electronics in Agriculture. 213. 108213–108213. 10 indexed citations

Li, Xiaomin, et al.. (2023). Research and Explainable Analysis of a Real-Time Passion Fruit Detection Model Based on FSOne-YOLOv7. Agronomy. 13(8). 1993–1993. 9 indexed citations

Chen, Jianneng, et al.. (2023). IMVTS: A Detection Model for Multi-Varieties of Famous Tea Sprouts Based on Deep Learning. Horticulturae. 9(7). 819–819. 6 indexed citations

Zhu, Lixue, et al.. (2023). Detection and Localization of Tea Bud Based on Improved YOLOv5s and 3D Point Cloud Processing. Agronomy. 13(9). 2412–2412. 6 indexed citations

Wang, Chenglin, Juntao Xiong, Zhaoguo Zhang, et al.. (2022). Application of Convolutional Neural Network-Based Detection Methods in Fresh Fruit Production: A Comprehensive Review. Frontiers in Plant Science. 13. 868745–868745. 45 indexed citations

Lin, Guichao, et al.. (2022). Real-time guava tree-part segmentation using fully convolutional network with channel and spatial attention. Frontiers in Plant Science. 13. 991487–991487. 5 indexed citations

Lin, Guichao, et al.. (2022). A Fast and Accurate Obstacle Segmentation Network for Guava-Harvesting Robot via Exploiting Multi-Level Features. Sustainability. 14(19). 12899–12899.

Wang, Chenglin, et al.. (2022). Study on Pear Flowers Detection Performance of YOLO-PEFL Model Trained With Synthetic Target Images. Frontiers in Plant Science. 13. 911473–911473. 25 indexed citations

Lin, Guichao, et al.. (2022). An Inverse Kinematics Solution for a Series-Parallel Hybrid Banana-Harvesting Robot Based on Deep Reinforcement Learning. Agronomy. 12(9). 2157–2157. 12 indexed citations

10.

Lin, Guichao, Lixue Zhu, Jinhui Li, Xiangjun Zou, & Yunchao Tang. (2021). Collision-free path planning for a guava-harvesting robot based on recurrent deep reinforcement learning. Computers and Electronics in Agriculture. 188. 106350–106350. 112 indexed citations

11.

Wang, Hongjun, et al.. (2021). YOLOv3-Litchi Detection Method of Densely Distributed Litchi in Large Vision Scenes. Mathematical Problems in Engineering. 2021. 1–11. 33 indexed citations

12.

Li, Jinhui, Yunchao Tang, Xiangjun Zou, Guichao Lin, & Hongjun Wang. (2020). Detection of Fruit-Bearing Branches and Localization of Litchi Clusters for Vision-Based Harvesting Robots. IEEE Access. 8. 117746–117758. 116 indexed citations

13.

Lin, Guichao, et al.. (2019). Fruit detection in natural environment using partial shape matching and probabilistic Hough transform. Precision Agriculture. 21(1). 160–177. 122 indexed citations

14.

Lin, Guichao, et al.. (2019). Color-, depth-, and shape-based 3D fruit detection. Precision Agriculture. 21(1). 1–17. 139 indexed citations

15.

Fu, Lanhui, et al.. (2019). Banana detection based on color and texture features in the natural environment. Computers and Electronics in Agriculture. 167. 105057–105057. 60 indexed citations

16.

Lin, Guichao, Yunchao Tang, Xiangjun Zou, Jinhui Li, & Juntao Xiong. (2019). In-field citrus detection and localisation based on RGB-D image analysis. Biosystems Engineering. 186. 34–44. 88 indexed citations

17.

Lin, Guichao, Yunchao Tang, Xiangjun Zou, Juntao Xiong, & Jinhui Li. (2019). Guava Detection and Pose Estimation Using a Low-Cost RGB-D Sensor in the Field. Sensors. 19(2). 428–428. 118 indexed citations

18.

Lin, Guichao & Xiangjun Zou. (2018). Citrus Segmentation for Automatic Harvester Combined with AdaBoost Classifier and Leung-Malik Filter Bank. IFAC-PapersOnLine. 51(17). 379–383. 10 indexed citations

19.

Zou, Xiangjun, Guichao Lin, Yunchao Tang, et al.. (2016). Sub-Pixel object-Image Registration Using Improved Iterative Closest Point Method. Journal of Computer-Aided Design & Computer Graphics. 28(8). 1249. 1 indexed citations

20.

Xiong, Juntao, et al.. (2013). Recognition of ripe litchi in different illumination conditions based on Retinex image enhancement. Nongye gongcheng xuebao. 2013(12). 8 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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