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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:

Weed mapping in multispectral drone imagery using lightweight vision transformers
Giovanna Castellano, Pasquale De Marinis, Gennaro Vessio
Neurocomputing (2023) Vol. 562, pp. 126914-126914
Open Access | Times Cited: 12

Showing 12 citing articles:

A survey of unmanned aerial vehicles and deep learning in precision agriculture
Dashuai Wang, Minghu Zhao, Zhuolin Li, et al.
European Journal of Agronomy (2024) Vol. 164, pp. 127477-127477
Closed Access | Times Cited: 5
Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques
A. Narmilan, K.S. Powell, Juan Sandino, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104413-104413
Open Access
Systematic review on machine learning and computer vision in precision agriculture: Applications, trends, and emerging techniques
Yean‐Der Kuan, K. M. Goh, Lee‐Ling Lim
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110401-110401
Closed Access
Remote sensing for precision weed management
Yanbo Huang, Xin Sun, Nitin Rai, et al.
Pest Management Science (2025)
Closed Access
Enhancing long-term person re-identification using global, local body part, and head streams
Duy Tran Thanh, Yeejin Lee, Byeongkeun Kang
Neurocomputing (2024) Vol. 580, pp. 127480-127480
Open Access | Times Cited: 2
Use of Participatory sUAS in Resilient Socioecological Systems (SES) Research: A Review and Case Study from the Southern Great Plains, USA
Todd Fagin, Jacqueline M. Vadjunec, Austin L. Boardman, et al.
Drones (2024) Vol. 8, Iss. 6, pp. 223-223
Open Access | Times Cited: 2
Exploring the Integration of Industry 4.0 Technologies in Agriculture: A Comprehensive Bibliometric Review
Benedetta Fasciolo, Luigi Panza, Franco Lombardi
Sustainability (2024) Vol. 16, Iss. 20, pp. 8948-8948
Open Access | Times Cited: 2
Morning Glory Flower Detection in Aerial Images Using Semi-Supervised Segmentation with Gaussian Mixture Models
Sruthi Keerthi Valicharla, Jinge Wang, Xin Li, et al.
AgriEngineering (2024) Vol. 6, Iss. 1, pp. 555-573
Open Access | Times Cited: 1
ResNet50 Integrated Vision Transformer for Enhanced Plant Disease Classification
D Mohnish Kumaar, Saravanan Palani
(2024), pp. 1-6
Closed Access
Addressing Constraint Coupling and Autonomous Decision-Making Challenges: An Analysis of Large-Scale UAV Trajectory-Planning Techniques
Gang Huang, Min Hu, Xueying Yang, et al.
Drones (2024) Vol. 8, Iss. 10, pp. 530-530
Open Access
IF-YOLO: An Efficient and Accurate Detection Algorithm for Insulator Faults in Transmission Lines
Ying Wai Li, Changfei Zhu, Qiang Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 167388-167403
Open Access
A hybrid CNN-transformer network: Accurate and efficient semantic segmentation of crops and weeds on resource-constrained embedded devices
Yifan Wei, Yuncong Feng, Dongcheng Zu, et al.
Crop Protection (2024) Vol. 188, pp. 107018-107018
Closed Access
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