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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:

Automatic Detection and Classification of Dead Nematode-Infested Pine Wood in Stages Based on YOLO v4 and GoogLeNet
Xianhao Zhu, Ruirui Wang, Wei Shi, et al.
Forests (2023) Vol. 14, Iss. 3, pp. 601-601
Open Access | Times Cited: 13

Showing 13 citing articles:

A review of deep learning in dentistry
Chenxi Huang, Jiaji Wang, Shuihua Wang‎, et al.
Neurocomputing (2023) Vol. 554, pp. 126629-126629
Open Access | Times Cited: 42
Spatial, spectral and temporal insights: harnessing high-resolution satellite remote sensing and artificial intelligence for early monitoring of wood boring pests in forests
Deepak Kumar Mahanta, Tanmaya Kumar Bhoi, J. Komal, et al.
Plant Stress (2024) Vol. 11, pp. 100381-100381
Open Access | Times Cited: 7
Integration of Remote Sensing and Machine Learning for Precision Agriculture: A Comprehensive Perspective on Applications
Jun Wang, Yanlong Wang, Guang Li, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 1975-1975
Open Access | Times Cited: 7
Artificial Intelligence for Routine Heritage Monitoring and Sustainable Planning of the Conservation of Historic Districts: A Case Study on Fujian Earthen Houses (Tulou)
Jiayue Fan, Yile Chen, Liang Zheng
Buildings (2024) Vol. 14, Iss. 7, pp. 1915-1915
Open Access | Times Cited: 5
A deep learning‐based method for detecting and identifying surface defects in polyimide foam
Song Xian-hui, Guangzhong Hu, Jing Lu, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Detection of the Infection Stage of Pine Wilt Disease and Spread Distance Using Monthly UAV-Based Imagery and a Deep Learning Approach
Cheng Yong Tan, Qi-nan Lin, Huaqiang Du, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 364-364
Open Access | Times Cited: 2
Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: a review
Shubhika Shubhika, Pradeep Kumar Patel, Rickwinder Singh, et al.
Plant Stress (2024) Vol. 14, pp. 100592-100592
Open Access | Times Cited: 2
Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model
Degao Wang, Z. X. Sun, Xinxia Huang, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Emerging Trends and Technologies Used for the Identification, Detection, and Characterisation of Plant-Parasitic Nematode Infestation in Crops
Top Bahadur Pun, Roniya Thapa Magar, Richard Koech, et al.
Plants (2024) Vol. 13, Iss. 21, pp. 3041-3041
Open Access | Times Cited: 1
Multi-Type Vehicle Detection Algorithm Based On Improved YOLOv5
Wuping Yang
(2023), pp. 599-603
Closed Access | Times Cited: 2
A spatio-temporal multi-scale fusion algorithm for pine wood nematode disease tree detection
Chao Li, Keyi Li, Yu Ji, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Open Access
Revolutionizing wildlife protection: a novel approach combining deep learning and night-time surveillance
Nithya Madhasu, Sagar Dhanraj Pande
Multimedia Tools and Applications (2024)
Closed Access
Intelligent detection of maize pests based on StyleGAN2-ADA and FNW YOLOv8
Liu Liu, Kai Xue, Jingtao Qi
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015421-015421
Closed Access
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