Chenglin Wang

1.5k total citations · 1 hit paper
32 papers, 1.2k citations indexed

About

Chenglin Wang is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chenglin Wang has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 6 papers in Analytical Chemistry and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chenglin Wang's work include Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (6 papers) and Date Palm Research Studies (5 papers). Chenglin Wang is often cited by papers focused on Smart Agriculture and AI (22 papers), Spectroscopy and Chemometric Analyses (6 papers) and Date Palm Research Studies (5 papers). Chenglin Wang collaborates with scholars based in China, United States and United Kingdom. Chenglin Wang's co-authors include Xiangjun Zou, Yunchao Tang, Mingyou Chen, Lufeng Luo, Guoping Lian, Jinhui Li, Kuang Yu Huang, Wenxian Feng, Guichao Lin and Lijuan Li and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Plant Science.

In The Last Decade

Chenglin Wang

30 papers receiving 1.1k citations

Hit Papers

Recognition and Localization Methods for Vision-Based Fru... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chenglin Wang China 14 750 208 195 125 123 32 1.2k
Jinhui Li China 12 754 1.0× 179 0.9× 167 0.9× 126 1.0× 134 1.1× 29 1.1k
Guichao Lin China 12 794 1.1× 159 0.8× 188 1.0× 125 1.0× 126 1.0× 22 1.0k
Yunong Tian China 11 809 1.1× 306 1.5× 282 1.4× 171 1.4× 115 0.9× 34 1.4k
Fuzeng Yang China 17 606 0.8× 191 0.9× 237 1.2× 111 0.9× 203 1.7× 50 1.1k
Lufeng Luo China 18 1.1k 1.5× 269 1.3× 261 1.3× 234 1.9× 236 1.9× 63 1.6k
Yongjie Cui China 20 1.0k 1.4× 127 0.6× 232 1.2× 105 0.8× 306 2.5× 79 1.6k
Wei Ji China 22 986 1.3× 238 1.1× 300 1.5× 139 1.1× 282 2.3× 69 1.9k
Fangfang Gao China 15 911 1.2× 106 0.5× 260 1.3× 126 1.0× 84 0.7× 33 1.4k
Filipe Neves dos Santos Portugal 20 815 1.1× 358 1.7× 172 0.9× 74 0.6× 128 1.0× 102 1.4k

Countries citing papers authored by Chenglin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chenglin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenglin Wang

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

All Works

20 of 20 papers shown
1.
Wang, Chenglin, et al.. (2025). Litchi bunch detection and ripeness assessment using deep learning and clustering with image processing techniques. Biosystems Engineering. 255. 104173–104173. 2 indexed citations
2.
Wang, Chenglin, et al.. (2024). Litchi picking points localization in natural environment based on the Litchi-YOSO model and branch morphology reconstruction algorithm. Computers and Electronics in Agriculture. 226. 109473–109473. 3 indexed citations
3.
Zheng, Zhenhui, Ling Chen, Chenglin Wang, et al.. (2024). A robust and efficient citrus counting approach for large-scale unstructured orchards. Agricultural Systems. 215. 103867–103867. 8 indexed citations
4.
Wang, Chenglin, et al.. (2024). YOLO-BLBE: A Novel Model for Identifying Blueberry Fruits with Different Maturities Using the I-MSRCR Method. Agronomy. 14(4). 658–658. 28 indexed citations
5.
Li, Jianian, et al.. (2024). Spectrophotometric-Based Sensor for the Detection of Multiple Fertilizer Solutions. Agriculture. 14(8). 1291–1291. 1 indexed citations
6.
Wang, Chenglin, et al.. (2024). A Review of Perception Technologies for Berry Fruit-Picking Robots: Advantages, Disadvantages, Challenges, and Prospects. Agriculture. 14(8). 1346–1346. 10 indexed citations
7.
Wang, Chenglin, et al.. (2024). Strawberry Detection and Ripeness Classification Using YOLOv8+ Model and Image Processing Method. Agriculture. 14(5). 751–751. 20 indexed citations
8.
Wang, Chenglin, et al.. (2024). Assisting the Planning of Harvesting Plans for Large Strawberry Fields through Image-Processing Method Based on Deep Learning. Agriculture. 14(4). 560–560. 9 indexed citations
9.
10.
Wang, Chenglin, et al.. (2024). Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model. Frontiers in Plant Science. 15. 1397816–1397816. 8 indexed citations
11.
12.
Su, Wei, et al.. (2023). Navigation path extraction for inter-row robots in Panax notoginseng shade house based on Im-YOLOv5s. Frontiers in Plant Science. 14. 1246717–1246717. 2 indexed citations
13.
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
14.
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
15.
Liu, Wentao, et al.. (2022). Estimation of Characteristic Parameters of Grape Clusters Based on Point Cloud Data. Frontiers in Plant Science. 13. 885167–885167. 6 indexed citations
16.
Jin, Xin, et al.. (2021). Potential analysis of an automatic transplanting method for healthy potted seedlings using computer vision. International journal of agricultural and biological engineering. 14(6). 162–168. 7 indexed citations
17.
Luo, Tianhong, et al.. (2021). A Framework in Calibration Process for Line Structured Light System Using Image Analysis. Processes. 9(6). 917–917. 1 indexed citations
18.
Tang, Yunchao, Mingyou Chen, Chenglin Wang, et al.. (2020). Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review. Frontiers in Plant Science. 11. 510–510. 409 indexed citations breakdown →
19.
Wang, Chenglin, et al.. (2019). Window Zooming–Based Localization Algorithm of Fruit and Vegetable for Harvesting Robot. IEEE Access. 7. 103639–103649. 39 indexed citations
20.
Li, Xinyuan, et al.. (2018). A case of a novel CACNA1G mutation from a Chinese family with SCA42. Medicine. 97(36). e12148–e12148. 17 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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