Zhihua Diao

973 total citations · 1 hit paper
33 papers, 645 citations indexed

About

Zhihua Diao is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zhihua Diao has authored 33 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 10 papers in Analytical Chemistry and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zhihua Diao's work include Smart Agriculture and AI (24 papers), Spectroscopy and Chemometric Analyses (10 papers) and Robotic Path Planning Algorithms (5 papers). Zhihua Diao is often cited by papers focused on Smart Agriculture and AI (24 papers), Spectroscopy and Chemometric Analyses (10 papers) and Robotic Path Planning Algorithms (5 papers). Zhihua Diao collaborates with scholars based in China and United States. Zhihua Diao's co-authors include Jiayou Shi, Jun Zhou, Baohua Zhang, Yuhao Bai, Baohua Zhang, Suna Zhao, Dongyan Zhang, Chunjiang Zhao, Jingcheng Zhang and Gangshan Wu and has published in prestigious journals such as Computers and Electronics in Agriculture, Postharvest Biology and Technology and Applied Sciences.

In The Last Decade

Zhihua Diao

29 papers receiving 619 citations

Hit Papers

Vision-based navigation a... 2022 2026 2023 2024 2022 50 100 150
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. Vision-based navigation and guidance for agricultural autonomous vehicles and robots: A review
    2022 182 citations Yuhao Bai, Jun Zhou et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhihua Diao China 12 428 160 104 92 68 33 645
Jidong Lv China 14 515 1.2× 155 1.0× 77 0.7× 126 1.4× 32 0.5× 48 803
Yuhao Bai China 11 334 0.8× 160 1.0× 68 0.7× 82 0.9× 41 0.6× 18 599
Hongjun Wang China 13 445 1.0× 111 0.7× 63 0.6× 114 1.2× 65 1.0× 45 692
Baoxing Gu China 12 440 1.0× 173 1.1× 57 0.5× 69 0.8× 59 0.9× 22 734
Guangzhao Tian China 11 403 0.9× 152 0.9× 53 0.5× 71 0.8× 60 0.9× 22 669
Jiqing Chen China 14 420 1.0× 93 0.6× 59 0.6× 114 1.2× 32 0.5× 34 598
Guichao Lin China 12 794 1.9× 188 1.2× 103 1.0× 159 1.7× 91 1.3× 22 1.0k
Duke M. Bulanon United States 12 537 1.3× 238 1.5× 157 1.5× 140 1.5× 91 1.3× 27 822
Fuzeng Yang China 17 606 1.4× 237 1.5× 103 1.0× 191 2.1× 52 0.8× 50 1.1k
Amy Tabb United States 15 565 1.3× 148 0.9× 133 1.3× 151 1.6× 60 0.9× 31 865

Countries citing papers authored by Zhihua Diao

Since Specialization
Citations

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

Fields of papers citing papers by Zhihua Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhihua Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Zhihua Diao. A scholar is included among the top collaborators of Zhihua Diao 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 Zhihua Diao. Zhihua Diao 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.
Wei, Hua, et al.. (2025). A Deep Learning-Based Algorithm for Ceramic Product Defect Detection. Applied Sciences. 15(12). 6641–6641.
2.
3.
Luo, Wei, Qicheng Li, Hailiang Zhang, et al.. (2025). Detection of early decay in dekopon fruit based on structured-illumination reflectance imaging combined with a comparison between traditional machine learning and deep learning models. Postharvest Biology and Technology. 233. 114044–114044. 1 indexed citations
4.
5.
Zhang, Baohua, et al.. (2025). Environmental mapping and path planning for robots in orchard based on traversability analysis, improved LeGO-LOAM and RRT* algorithms. Computers and Electronics in Agriculture. 230. 109889–109889. 6 indexed citations
6.
7.
Diao, Zhihua, et al.. (2025). Localization technologies for smart agriculture and precision farming: A review. Computers and Electronics in Agriculture. 236. 110464–110464. 2 indexed citations
8.
Diao, Zhihua, et al.. (2024). Algorithm for Corn Crop Row Recognition during Different Growth Stages Based on ST-YOLOv8s Network. Agronomy. 14(7). 1466–1466. 10 indexed citations
9.
Diao, Zhihua, et al.. (2024). Detection of early decayed oranges by using hyperspectral transmittance imaging and visual coding techniques coupled with an improved deep learning model. Postharvest Biology and Technology. 217. 113095–113095. 6 indexed citations
10.
Zhao, Suna, Guangxin Zhao, Zhihua Diao, et al.. (2024). Biomimetic Adaptive Pure Pursuit Control for Robot Path Tracking Inspired by Natural Motion Constraints. Biomimetics. 9(1). 41–41. 5 indexed citations
11.
Zhang, Dongyan, Tao Cheng, Weifeng Li, et al.. (2023). Enhancing wheat Fusarium head blight detection using rotation Yolo wheat detection network and simple spatial attention network. Computers and Electronics in Agriculture. 211. 107968–107968. 36 indexed citations
12.
Diao, Zhihua, Baohua Zhang, Dongyan Zhang, et al.. (2023). Navigation line extraction algorithm for corn spraying robot based on improved YOLOv8s network. Computers and Electronics in Agriculture. 212. 108049–108049. 47 indexed citations
13.
14.
Diao, Zhihua, et al.. (2023). Maize crop row recognition algorithm based on improved UNet network. Computers and Electronics in Agriculture. 210. 107940–107940. 41 indexed citations
15.
Diao, Zhihua, et al.. (2022). Corn seedling recognition algorithm based on hyperspectral image and lightweight-3D-CNN. Computers and Electronics in Agriculture. 201. 107343–107343. 34 indexed citations
16.
Diao, Zhihua, et al.. (2013). Segmentation method for cotton mite disease image under complex background. Nongye gongcheng xuebao. 2013(5). 7 indexed citations
17.
Wu, Yuanyuan, Zhihua Diao, & Yuqiang Wu. (2012). Output feedback stabilization of nonholonomic systems with unknown time delays. Chinese Control Conference. 625–630.
18.
Diao, Zhihua, et al.. (2012). Image feature extraction of crop disease. 448–451. 17 indexed citations
19.
Wu, Yuanyuan, Zhihua Diao, & Yuqiang Wu. (2011). Robust stabilization of nonholonomic systems with unknown time delays. Chinese Control Conference. 1166–1171. 3 indexed citations
20.
Diao, Zhihua & Chunjiang Zhao. (2011). A new SVM multi-class classification algorithm based on balance decision tree. Kongzhi yu juece. 2 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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