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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 of Soybean Insect Pest and a Forecasting Platform Using Deep Learning with Unmanned Ground Vehicles
Yu-Hyeon Park, Sung Hoon Choi, Yeon-Ju Kwon, et al.
Agronomy (2023) Vol. 13, Iss. 2, pp. 477-477
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

An Effective Pyramid Neural Network Based on Graph-Related Attentions Structure for Fine-Grained Disease and Pest Identification in Intelligent Agriculture
Sen Lin, Yucheng Xiu, Jianlei Kong, et al.
Agriculture (2023) Vol. 13, Iss. 3, pp. 567-567
Open Access | Times Cited: 29
YOLO performance analysis for real-time detection of soybean pests
Everton Castel�ão Tetila, Fábio Amaral Godoy da Silveira, Anderson Bessa da Costa, et al.
Smart Agricultural Technology (2024) Vol. 7, pp. 100405-100405
Open Access | Times Cited: 9
An intelligent system for high-density small target pest identification and infestation level determination based on an improved YOLOv5 model
Li Sun, Zhenghua Cai, Kaibo Liang, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122190-122190
Closed Access | Times Cited: 17
Identification of Insect Pests on Soybean Leaves Based on SP-YOLO
Kebei Qin, Jie Zhang, Yue Hu
Agronomy (2024) Vol. 14, Iss. 7, pp. 1586-1586
Open Access | Times Cited: 4
Grain Crop Yield Prediction Using Machine Learning Based on UAV Remote Sensing: A Systematic Literature Review
Jianghao Yuan, Yangliang Zhang, Zuojun Zheng, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 559-559
Open Access | Times Cited: 4
Novel Automation, AI, and Biomimetic Engineering Advancements for Insect Studies and Management
Donato Romano
Current Opinion in Insect Science (2025), pp. 101337-101337
Closed Access
Optimizing Crop Health with Artificial Intelligence and Machine Learning Technologies
Ghanwa Maryam, Naima Khan, Shafaque Sehar, et al.
Sustainable development and biodiversity (2025), pp. 487-509
Closed Access
Remote sensing and artificial intelligence: revolutionizing pest management in agriculture
Danishta Aziz, Summira Rafiq, Pawan Saini, et al.
Frontiers in Sustainable Food Systems (2025) Vol. 9
Open Access
Sticky Trap-Embedded Machine Vision for Tea Pest Monitoring: A Cross-Domain Transfer Learning Framework Addressing Few-Shot Small Target Detection
Kunhong Li, Yi Li, Xuan Wen, et al.
Agronomy (2025) Vol. 15, Iss. 3, pp. 693-693
Open Access
An Indian UAV and Leaf Image Dataset for Integrated Crop Health Assessment of Soyabean Crop
S. K. Shinde, Vahida Attar
Data in Brief (2025), pp. 111517-111517
Open Access
Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology
Maurizio Agelli, Nicola Corona, Fabio Maggio, et al.
Machines (2024) Vol. 12, Iss. 11, pp. 750-750
Open Access | Times Cited: 3
Physiological and Nutraceutical Properties of Soybean (Glycine max. L)
Summra Siddique, Sana-e-Mustafa Saggo, Ali Aslam Saggo, et al.
IntechOpen eBooks (2024)
Open Access | Times Cited: 2
Performance Analysis of YOLO and Detectron2 Models for Detecting Corn and Soybean Pests Employing Customized Dataset
Guilherme Pires Silva de Almeida, Leonardo Nazário Silva dos Santos, Leandro Rodrigues da Silva Souza, et al.
Agronomy (2024) Vol. 14, Iss. 10, pp. 2194-2194
Open Access | Times Cited: 2
A push–pull strategy for controlling Riptortus pedestris (Hemiptera: Alydidae) using host plant semiochemicals
Junyong Song, Yu-Hyeon Park, Taein Kim, et al.
Animal Cells and Systems (2023) Vol. 27, Iss. 1, pp. 287-296
Open Access | Times Cited: 4
Seismic Event Detection in the Copahue Volcano Based on Machine Learning: Towards an On-the-Edge Implementation
Yair Mauad Sosa, Romina Molina, Silvana Spagnotto, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 622-622
Open Access | Times Cited: 1
Towards an Intelligent Tomorrow
Kassim Kalinaki, Silviu Florin Acaru, Julius Kugonza, et al.
Advances in computational intelligence and robotics book series (2024), pp. 66-89
Closed Access | Times Cited: 1
Leveraging Machine Learning for Early Detection of Soybean Crop Pests
Bong-Hyun Kim, Atif Alamri, Salman A. AlQahtani
Legume Research - An International Journal (2024), Iss. Of
Open Access | Times Cited: 1
Innovative Insect Detection and Classification for the Agricultural Sector Using Gannet Optimization Algorithm With Deep Learning
Eman A. Al-Shahari, Ghadah Aldehim, Nabil Sharaf Almalki, et al.
IEEE Access (2024) Vol. 12, pp. 108041-108051
Open Access | Times Cited: 1
Exploring multiple optimization algorithms in transfer learning with EfficientNet models for agricultural insect classification
Hoang-Tu Vo, Nhon Nguyen Thien, Kheo Chau Mui, et al.
CTU Journal of Innovation and Sustainable Development (2024) Vol. 16, Iss. Special issue: ISDS, pp. 35-41
Open Access | Times Cited: 1
Detection and Classification of Agave angustifolia Haw Using Deep Learning Models
Idarh Claudio Matadamas-Ortiz, Erik Zamora, Teodulfo Aquino-Bolaños
Agriculture (2024) Vol. 14, Iss. 12, pp. 2199-2199
Open Access | Times Cited: 1
Multi-sensor based strategy learning with deep reinforcement learning for unmanned ground vehicle
Mingyu Luo
International Journal of Intelligent Networks (2023) Vol. 4, pp. 325-336
Open Access | Times Cited: 3
A Smart Innovative Pre-Trained Model-Based QDM for Weed Detection in Soybean Fields
B. Gunapriya, Arunadevi Thirumalraj, V. S. Anusuya, et al.
Advances in IT personnel and project management (2024), pp. 262-285
Closed Access
Artificial intelligence-driven prediction system for efficient management of Parlatoria Blanchardi in date palms
Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, et al.
Multimedia Tools and Applications (2024)
Closed Access
Rationality of soybean farmers: the findings from rainfed field agroecosystems
Dedi Djuliansah, Trisna Insan Noor, Zulfikar Noormansyah, et al.
Agricultural and Resource Economics International Scientific E-Journal (2024) Vol. 10, Iss. 3
Open Access
Early Detection and Prediction of Pests in Field Crops Using Transfer Learning
Zeeshan Ali Haider, Fida Muhammad Khan, Inam Ullah Khan, et al.
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 3, pp. 98-113
Open Access
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