Lin Jiao

1.3k total citations
46 papers, 910 citations indexed

About

Lin Jiao is a scholar working on Plant Science, Computer Vision and Pattern Recognition and Astronomy and Astrophysics. According to data from OpenAlex, Lin Jiao has authored 46 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Astronomy and Astrophysics. Recurrent topics in Lin Jiao's work include Smart Agriculture and AI (23 papers), Date Palm Research Studies (14 papers) and Advanced Neural Network Applications (8 papers). Lin Jiao is often cited by papers focused on Smart Agriculture and AI (23 papers), Date Palm Research Studies (14 papers) and Advanced Neural Network Applications (8 papers). Lin Jiao collaborates with scholars based in China, United Kingdom and United States. Lin Jiao's co-authors include Chengjun Xie, Rujing Wang, Shifeng Dong, Jianming Du, P. Démoulin, T. G. Forbes, Philip A. Isenberg, Rui Li, Hongqiang Wang and Kang Liu and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Expert Systems with Applications.

In The Last Decade

Lin Jiao

42 papers receiving 878 citations

Peers

Lin Jiao
Zhengang Yang China
Martin Weis Germany
Thuy Tuong Nguyen United States
Riccardo La Grassa Italy
Juncheng Ma China
Long He China
V. Sathiesh Kumar India
Fernando Vanegas Australia
Hao Gan United States
Zhengang Yang China
Lin Jiao
Citations per year, relative to Lin Jiao Lin Jiao (= 1×) peers Zhengang Yang

Countries citing papers authored by Lin Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Lin Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Jiao

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Jiao. A scholar is included among the top collaborators of Lin Jiao 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 Lin Jiao. Lin Jiao 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.
Jiao, Lin, et al.. (2025). Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module. Insects. 16(1). 103–103. 2 indexed citations
2.
Liu, Kang, et al.. (2025). Fast Fixed-Time Distributed Neural Formation Control-Based Disturbance Observer for Multiple Quadrotor UAVs Under Unknown Disturbances. IEEE Transactions on Aerospace and Electronic Systems. 61(5). 13137–13155. 1 indexed citations
3.
Jiao, Lin, H. Liu, Zheng Liang, et al.. (2025). An Anchor-Free Refining Feature Pyramid Network for Dense and Multioriented Wheat Spikes Detection Under UAV. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
4.
Jiao, Lin, et al.. (2025). Fast Rice Plant Disease Recognition Based on Dual-Attention-Guided Lightweight Network. Agriculture. 15(16). 1724–1724.
5.
Jiao, Lin, et al.. (2024). Integrating foreground–background feature distillation and contrastive feature learning for ultra-fine-grained visual classification. Pattern Recognition. 150. 110339–110339. 2 indexed citations
6.
Liu, Kang, et al.. (2024). Observer-Based Adaptive Finite-Time Neural Control for Constrained Nonlinear Systems With Actuator Saturation Compensation. IEEE Transactions on Instrumentation and Measurement. 73. 1–16. 10 indexed citations
7.
Liu, H., Hongbo Chen, Jianming Du, et al.. (2024). Auto-adjustment label assignment-based convolutional neural network for oriented wheat diseases detection. Computers and Electronics in Agriculture. 222. 109029–109029. 4 indexed citations
8.
9.
Li, Gaoqiang, Lin Jiao, Peng Chen, et al.. (2023). Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background. Computers and Electronics in Agriculture. 212. 108121–108121. 32 indexed citations
10.
Dong, Shifeng, Yue Teng, Lin Jiao, et al.. (2023). ESA-Net: An efficient scale-aware network for small crop pest detection. Expert Systems with Applications. 236. 121308–121308. 18 indexed citations
11.
Wang, Rujing, Lin Jiao, & Kang Liu. (2023). Deep Learning for Agricultural Visual Perception.
12.
Wang, Rujing, et al.. (2023). OSAF-Net: A one-stage anchor-free detector for small-target crop pest detection. Applied Intelligence. 53(21). 24895–24907. 5 indexed citations
13.
Jiao, Lin, Gaoqiang Li, Peng Chen, et al.. (2022). Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection. Frontiers in Plant Science. 13. 895944–895944. 16 indexed citations
14.
Jiao, Lin, Rujing Wang, Chengjun Xie, et al.. (2022). WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method. Frontiers in Plant Science. 13. 876069–876069. 13 indexed citations
15.
16.
Wang, Rujing, et al.. (2021). S-RPN: Sampling-balanced region proposal network for small crop pest detection. Computers and Electronics in Agriculture. 187. 106290–106290. 79 indexed citations
17.
Dong, Shifeng, et al.. (2020). Automatic Urinary Sediments Visible Component Detection Based on Improved YOLO Algorithm. 485–490. 6 indexed citations
18.
Mei, Zhixing, Rony Keppens, I. I. Roussev, & Lin Jiao. (2017). Magnetic reconnection during eruptive magnetic flux ropes. Astronomy and Astrophysics. 604. L7–L7. 28 indexed citations
19.
Zhang, H., et al.. (2006). Coronal mass ejections and the associated activities on the solar diskobserved on October 26, 2003. Astronomy and Astrophysics. 463(1). 321–331. 3 indexed citations
20.
Jiao, Lin, T. G. Forbes, Philip A. Isenberg, & P. Démoulin. (1998). The Effect of Curvature on Flux‐Rope Models of Coronal Mass Ejections. The Astrophysical Journal. 504(2). 1006–1019. 132 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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