Zhenchao Wu

827 total citations · 1 hit paper
23 papers, 593 citations indexed

About

Zhenchao Wu is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhenchao Wu has authored 23 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 5 papers in Analytical Chemistry and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhenchao Wu's work include Smart Agriculture and AI (15 papers), Leaf Properties and Growth Measurement (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Zhenchao Wu is often cited by papers focused on Smart Agriculture and AI (15 papers), Leaf Properties and Growth Measurement (5 papers) and Spectroscopy and Chemometric Analyses (5 papers). Zhenchao Wu collaborates with scholars based in China, United States and Pakistan. Zhenchao Wu's co-authors include Longsheng Fu, Rui Li, Wentai Fang, Guanao Zhao, Fangfang Gao, Rui Li, Baoxin Wu, Lijun Wang, Yaqoob Majeed and Zhenjun Ding and has published in prestigious journals such as IEEE Transactions on Image Processing, Journal of Food Engineering and Powder Technology.

In The Last Decade

Zhenchao Wu

22 papers receiving 584 citations

Hit Papers

Fruit yield prediction and estimation in orchards: A stat... 2022 2026 2023 2024 2022 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods
    2022 109 citations Wentai Fang, Guanao Zhao et al. Computers and Electronics in Agriculture profile →

Peers

Zhenchao Wu
Frédéric Cointault France
Xu Ma China
Jianneng Chen China
Qiwei Guo China
Hongkun Tian China
Feng Kang China
Nelson Richard Makange China
Shumao Wang China
Changyuan Zhai China
Juan Liao China
Frédéric Cointault France
Zhenchao Wu
Citations per year, relative to Zhenchao Wu Zhenchao Wu (= 1×) peers Frédéric Cointault

Countries citing papers authored by Zhenchao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenchao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenchao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenchao Wu. A scholar is included among the top collaborators of Zhenchao Wu 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 Zhenchao Wu. Zhenchao Wu 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, Xiaole, Fugui Zhang, Zhenchao Wu, et al.. (2025). MSNet: A multispectral-image driven rapeseed canopy instance segmentation network. Artificial Intelligence in Agriculture. 15(4). 642–658. 1 indexed citations
2.
Wang, Weiwei, Longzhe Quan, Yongxin Chen, et al.. (2025). Optimizing seed filling performance of the double-filling air suction maize and soybean seed metering device based on DEM-CFD coupling method. Computers and Electronics in Agriculture. 237. 110586–110586.
3.
Wu, Zhenchao, et al.. (2025). Row-based kiwifruit counting pipeline for smartphone-captured videos using fruit tracking and detection region adaptation guided by support-post. Computers and Electronics in Agriculture. 237. 110476–110476. 1 indexed citations
4.
Lv, Xuan, Xiaole Wang, Yu Wang, et al.. (2025). Dynamic whole-life cycle measurement of individual plant height in oilseed rape through the fusion of point cloud and crop root zone localization. Computers and Electronics in Agriculture. 236. 110505–110505. 1 indexed citations
5.
Jing, Xudong, Zhenchao Wu, Rui Li, et al.. (2024). End-to-end stereo matching network with two-stage partition filtering for full-resolution depth estimation and precise localization of kiwifruit for robotic harvesting. Computers and Electronics in Agriculture. 225. 109333–109333. 5 indexed citations
6.
Liu, Xiaojuan, et al.. (2024). Performance evaluation of newly released cameras for fruit detection and localization in complex kiwifruit orchard environments. Journal of Field Robotics. 41(4). 881–894. 11 indexed citations
7.
Gao, Changqing, Xiaojuan Liu, Haihong Li, et al.. (2024). Improved binocular localization of kiwifruit in orchard based on fruit and calyx detection using YOLOv5x for robotic picking. Computers and Electronics in Agriculture. 217. 108621–108621. 19 indexed citations
8.
Fang, Wentai, et al.. (2023). Fruit detachment force of multiple varieties kiwifruit with different fruit-stem angles for designing universal robotic picking end-effector. Computers and Electronics in Agriculture. 213. 108225–108225. 15 indexed citations
9.
Wu, Zhenchao, Fangfang Gao, Rui Li, et al.. (2023). Twice matched fruit counting system: An automatic fruit counting pipeline in modern apple orchard using mutual and secondary matches. Biosystems Engineering. 234. 140–155. 5 indexed citations
10.
Wu, Zhenchao, et al.. (2023). M2EU: Meta Learning for Cold-start Recommendation via Enhancing User Preference Estimation. 1158–1167. 8 indexed citations
11.
Gao, Changqing, et al.. (2023). A novel pollination robot for kiwifruit flower based on preferential flowers selection and precisely target. Computers and Electronics in Agriculture. 207. 107762–107762. 32 indexed citations
12.
Zhao, Guanao, Xudong Jing, Zhenchao Wu, et al.. (2023). Phenotyping of individual apple tree in modern orchard with novel smartphone-based heterogeneous binocular vision and YOLOv5s. Computers and Electronics in Agriculture. 209. 107814–107814. 14 indexed citations
13.
Wu, Zhenchao, Xiaoming Sun, Rui Li, et al.. (2023). NDMFCS: An automatic fruit counting system in modern apple orchard using abatement of abnormal fruit detection. Computers and Electronics in Agriculture. 211. 108036–108036. 21 indexed citations
14.
Wu, Zhenchao, et al.. (2022). Coefficient of restitution of kiwifruit without external interference. Journal of Food Engineering. 327. 111060–111060. 19 indexed citations
15.
Gao, Fangfang, Wentai Fang, Zhenchao Wu, et al.. (2022). A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard. Computers and Electronics in Agriculture. 197. 107000–107000. 94 indexed citations
16.
Wu, Zhenchao, Wentai Fang, Hongliang Zhang, et al.. (2021). Detection of abnormal hydroponic lettuce leaves based on image processing and machine learning. Information Processing in Agriculture. 10(1). 1–10. 28 indexed citations
17.
Wu, Zhenchao, et al.. (2021). Segmentation of abnormal leaves of hydroponic lettuce based on DeepLabV3+ for robotic sorting. Computers and Electronics in Agriculture. 190. 106443–106443. 51 indexed citations
18.
Wu, Zhenchao, Kun Li, Yu‐Kun Lai, & Jingyu Yang. (2019). Global as-Conformal-as-Possible Non-Rigid Registration of Multi-view Scans. ORCA Online Research @Cardiff (Cardiff University). 27. 308–313. 3 indexed citations
19.
Yang, Jingyu, et al.. (2019). Global 3D Non-Rigid Registration of Deformable Objects Using a Single RGB-D Camera. IEEE Transactions on Image Processing. 28(10). 4746–4761. 13 indexed citations
20.
Wang, Lijun, et al.. (2018). Experimental determination of the coefficient of restitution of particle-particle collision for frozen maize grains. Powder Technology. 338. 263–273. 37 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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