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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Detection and Counting of Maize Leaves Based on Two-Stage Deep Learning with UAV-Based RGB Image
Xingmei Xu, Lu Wang, Meiyan Shu, et al.
Remote Sensing (2022) Vol. 14, Iss. 21, pp. 5388-5388
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Object detection and tracking in Precision Farming: a systematic review
Mar Ariza-Sentís, Sergio Vélez, Raquel Martínez‐Peña, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108757-108757
Open Access | Times Cited: 42
Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review
Hao-Ran Qu, Wen‐Hao Su
Agronomy (2024) Vol. 14, Iss. 2, pp. 363-363
Open Access | Times Cited: 22
A Survey of Object Detection for UAVs Based on Deep Learning
Guangyi Tang, Jianjun Ni, Yonghao Zhao, et al.
Remote Sensing (2023) Vol. 16, Iss. 1, pp. 149-149
Open Access | Times Cited: 34
Progress in the Application of CNN-Based Image Classification and Recognition in Whole Crop Growth Cycles
Feng Yu, Qian Zhang, Jun Xiao, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2988-2988
Open Access | Times Cited: 25
Performance evaluation of newly released cameras for fruit detection and localization in complex kiwifruit orchard environments
Xiaojuan Liu, Xudong Jing, Hanhui Jiang, et al.
Journal of Field Robotics (2024) Vol. 41, Iss. 4, pp. 881-894
Closed Access | Times Cited: 10
A survey of deep learning-based object detection methods in crop counting
Yuning Huang, Yurong Qian, Hongyang Wei, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108425-108425
Closed Access | Times Cited: 19
Unmanned Aerial Vehicle-Scale Weed Segmentation Method Based on Image Analysis Technology for Enhanced Accuracy of Maize Seedling Counting
Tianle Yang, Shaolong Zhu, Weijun Zhang, et al.
Agriculture (2024) Vol. 14, Iss. 2, pp. 175-175
Open Access | Times Cited: 6
Maize emergence rate and leaf emergence speed estimation via image detection under field rail-based phenotyping platform
Lvhan Zhuang, Chuanyu Wang, Haoyuan Hao, et al.
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108838-108838
Closed Access | Times Cited: 6
Rice Counting and Localization in Unmanned Aerial Vehicle Imagery Using Enhanced Feature Fusion
Mingwei Yao, Wei Li, Li Chen, et al.
Agronomy (2024) Vol. 14, Iss. 4, pp. 868-868
Open Access | Times Cited: 5
Maize Seedling Leave Counting Based on Semi-Supervised Learning and UAV RGB Images
Xingmei Xu, Lu Wang, Xuewen Liang, et al.
Sustainability (2023) Vol. 15, Iss. 12, pp. 9583-9583
Open Access | Times Cited: 11
Lightweight Corn Leaf Detection and Counting Using Improved YOLOv8
Shaotong Ning, Tan Feng, Xuebo Chen, et al.
Sensors (2024) Vol. 24, Iss. 16, pp. 5279-5279
Open Access | Times Cited: 4
Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models
Emmanuel C. Nnadozie, Ogechukwu N. Iloanusi, Ozoemena Anthony Ani, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2322-2322
Open Access | Times Cited: 10
Assessing the advancement of artificial intelligence and drones’ integration in agriculture through a bibliometric study
Hicham Slimani, Jamal El Mhamdi, Abdelilah Jilbab
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 14, Iss. 1, pp. 878-878
Open Access | Times Cited: 10
A Method for Quantifying Mung Bean Field Planting Layouts Using UAV Images and an Improved YOLOv8-obb Model
Kun Yang, Xiaohua Sun, Ruofan Li, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 151-151
Open Access
Optimization of Sassafras tzumu leaves color quantification with UAV RGB imaging and Sassafras-net
Qingwei Meng, Wei Yan, Cong Xu, et al.
Information Processing in Agriculture (2025)
Open Access
Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
Boyi Tang, Jingping Zhou, Chunjiang Zhao, et al.
Artificial Intelligence in Agriculture (2025)
Open Access
A Novel Attention-Based Early Fusion Multi-Modal CNN Approach to Identify Soil Erosion Based on Unmanned Aerial Vehicle
Sheng Miao, Yufeng Liu, Zitong Liu, et al.
IEEE Access (2024) Vol. 12, pp. 95152-95164
Open Access | Times Cited: 3
Cost-Effective Aerial Inventory of Spruce Seedlings Using Consumer Drones and Deep Learning Techniques with Two-Stage UAV Flight Patterns
Eugene Lopatin, Pasi Poikonen
Forests (2023) Vol. 14, Iss. 5, pp. 973-973
Open Access | Times Cited: 7
Recognition of maize seedling under weed disturbance using improved YOLOv5 algorithm
Boyi Tang, Jingping Zhou, Yuchun Pan, et al.
Measurement (2024) Vol. 242, pp. 115938-115938
Closed Access | Times Cited: 2
YOLO-SDW: A method for detecting infection in corn leaves
Hua Yang, Shenyang Sheng, Feng Jiang, et al.
Energy Reports (2024) Vol. 12, pp. 6102-6111
Open Access | Times Cited: 2
Recognition and Localization of Maize Leaf and Stalk Trajectories in RGB Images Based on Point-Line Net
Bingwen Liu, Jianye Chang, Dengfeng Hou, et al.
Plant Phenomics (2024) Vol. 6
Open Access | Times Cited: 1
Vision foundation model for agricultural applications with efficient layer aggregation network
Jianxiong Ye, Zhenghong Yu, Jiewu Lin, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 124972-124972
Closed Access | Times Cited: 1
Litchi Fruit Instance Segmentation from UAV Sensed Images Using Spatial Attention-Based Deep Learning Model
Debarun Chakraborty, Bhabesh Deka
Lecture notes in computer science (2023), pp. 862-870
Closed Access | Times Cited: 2
Multi-food detection using a modified swin-transfomer with recursive feature pyramid network
Chao-Yang Lee, Abida Khanum, Pinninti Praneeth Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 57731-57757
Closed Access | Times Cited: 1
Recognition of Maize Seedling under Weed Disturbance using Deep Learning Algorithms
boyi Tang, Jingping Zhou, Yuchun Pan, et al.
Research Square (Research Square) (2024)
Open Access
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