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

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

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20 of 20 papers shown

#	Title	Journal	Authors	Indexed citations
1	Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module	Insects	Lin Jiao, Kang Liu et al.	2
2	Fast Fixed-Time Distributed Neural Formation Control-Based Disturbance Observer for Multiple Quadrotor UAVs Under Unknown Disturbances	IEEE Transactions on Aerospace and Electronic Systems	Kang Liu, Lin Jiao et al.	1
3	An Anchor-Free Refining Feature Pyramid Network for Dense and Multioriented Wheat Spikes Detection Under UAV	IEEE Transactions on Instrumentation and Measurement	Lin Jiao, H. Liu et al.	1
4	Fast Rice Plant Disease Recognition Based on Dual-Attention-Guided Lightweight Network	Agriculture	Lin Jiao, Kang Liu et al.	0
5	Integrating foreground–background feature distillation and contrastive feature learning for ultra-fine-grained visual classification	Pattern Recognition	Lin Jiao, Jianming Du et al.	2
6	Observer-Based Adaptive Finite-Time Neural Control for Constrained Nonlinear Systems With Actuator Saturation Compensation	IEEE Transactions on Instrumentation and Measurement	Kang Liu, Po Yang et al.	10
7	Auto-adjustment label assignment-based convolutional neural network for oriented wheat diseases detection	Computers and Electronics in Agriculture	H. Liu, Hongbo Chen et al.	4
8	WheatNet: Attentional Path Aggregation Feature Pyramid Network for Precise Detection and Counting of Dense and Arbitrary-Oriented Wheat Spikes		Lin Jiao, H. Liu et al.	1
9	Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background	Computers and Electronics in Agriculture	Gaoqiang Li, Lin Jiao et al.	32
10	ESA-Net: An efficient scale-aware network for small crop pest detection	Expert Systems with Applications	Shifeng Dong, Yue Teng et al.	18
11	Deep Learning for Agricultural Visual Perception		Rujing Wang, Lin Jiao et al.	0
12	OSAF-Net: A one-stage anchor-free detector for small-target crop pest detection	Applied Intelligence	Rujing Wang, Shifeng Dong et al.	5
13	Global Context-Aware-Based Deformable Residual Network Module for Precise Pest Recognition and Detection	Frontiers in Plant Science	Lin Jiao, Gaoqiang Li et al.	16
14	WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method	Frontiers in Plant Science	Lin Jiao, Rujing Wang et al.	13
15	Combining Multi-Dimensional Convolutional Neural Network (CNN) With Visualization Method for Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging	Frontiers in Plant Science	Tianying Yan, Wei Xu et al.	50
16	S-RPN: Sampling-balanced region proposal network for small crop pest detection	Computers and Electronics in Agriculture	Rujing Wang, Lin Jiao et al.	79
17	Automatic Urinary Sediments Visible Component Detection Based on Improved YOLO Algorithm		Shifeng Dong, Shengyu Zhang et al.	6
18	Magnetic reconnection during eruptive magnetic flux ropes	Astronomy and Astrophysics	Zhixing Mei, Rony Keppens et al.	28
19	Coronal mass ejections and the associated activities on the solar diskobserved on October 26, 2003	Astronomy and Astrophysics	H. Zhang, Lin Jiao et al.	3
20	The Effect of Curvature on Flux‐Rope Models of Coronal Mass Ejections	The Astrophysical Journal	Lin Jiao, T. G. Forbes et al.	132

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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