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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:

Fruit yield prediction and estimation in orchards: A state-of-the-art comprehensive review for both direct and indirect methods
Leilei He, Wentai Fang, Guanao Zhao, et al.
Computers and Electronics in Agriculture (2022) Vol. 195, pp. 106812-106812
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture
Jinya Su, Xiaoyong Zhu, Shihua Li, et al.
Neurocomputing (2022) Vol. 518, pp. 242-270
Open Access | Times Cited: 120
A novel apple fruit detection and counting methodology based on deep learning and trunk tracking in modern orchard
Fangfang Gao, Wentai Fang, Xiaoming Sun, et al.
Computers and Electronics in Agriculture (2022) Vol. 197, pp. 107000-107000
Closed Access | Times Cited: 98
Application of Smart Techniques, Internet of Things and Data Mining for Resource Use Efficient and Sustainable Crop Production
Awais Ali, Tajamul Hussain, Noramon Tantashutikun, et al.
Agriculture (2023) Vol. 13, Iss. 2, pp. 397-397
Open Access | Times Cited: 78
An improved YOLO algorithm for detecting flowers and fruits on strawberry seedlings
Yifan Bai, Junzhen Yu, Shuqin Yang, et al.
Biosystems Engineering (2023) Vol. 237, pp. 1-12
Closed Access | Times Cited: 49
In-field blueberry fruit phenotyping with a MARS-PhenoBot and customized BerryNet
Zhengkun Li, Rui Xu, Changying Li, et al.
Computers and Electronics in Agriculture (2025) Vol. 232, pp. 110057-110057
Closed Access | Times Cited: 2
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
Riqiang Chen, Chengjian Zhang, Bo Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107275-107275
Closed Access | Times Cited: 55
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
Mohammad Momeny, Ahmad Jahanbakhshi, Ali Asghar Neshat, et al.
Ecological Informatics (2022) Vol. 71, pp. 101829-101829
Closed Access | Times Cited: 52
Apple orchard production estimation using deep learning strategies: A comparison of tracking-by-detection algorithms
Juan Villacrés, Michelle Viscaíno, José Delpiano, et al.
Computers and Electronics in Agriculture (2022) Vol. 204, pp. 107513-107513
Closed Access | Times Cited: 45
Multi-Stage Corn Yield Prediction Using High-Resolution UAV Multispectral Data and Machine Learning Models
Chandan Kumar, Partson Mubvumba, Yanbo Huang, et al.
Agronomy (2023) Vol. 13, Iss. 5, pp. 1277-1277
Open Access | Times Cited: 39
Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding
Andrew W. Herr, Alper Adak, Matthew E. Carroll, et al.
Crop Science (2023) Vol. 63, Iss. 4, pp. 1722-1749
Open Access | Times Cited: 39
Deep-learning-based counting methods, datasets, and applications in agriculture: a review
Guy Farjon, Liu Hui-jun, Yael Edan
Precision Agriculture (2023) Vol. 24, Iss. 5, pp. 1683-1711
Closed Access | Times Cited: 36
Fruit sizing using AI: A review of methods and challenges
Juan Carlos Miranda, Jordi Gené-Mola, Manuela Zude-Sasse, et al.
Postharvest Biology and Technology (2023) Vol. 206, pp. 112587-112587
Open Access | Times Cited: 34
Machine learning technology for early prediction of grain yield at the field scale: A systematic review
Joerg Leukel, Tobias Zimpel, Christoph Stumpe
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107721-107721
Closed Access | Times Cited: 30
Advancements in Utilizing Image-Analysis Technology for Crop-Yield Estimation
Yu Feng, Ming Wang, Jun Xiao, et al.
Remote Sensing (2024) Vol. 16, Iss. 6, pp. 1003-1003
Open Access | Times Cited: 8
AppleYOLO: Apple yield estimation method using improved YOLOv8 based on Deep OC-SORT
Shiting Tan, Zhufang Kuang, Boyu Jin
Expert Systems with Applications (2025), pp. 126764-126764
Closed Access | Times Cited: 1
Biogas generation potential of discarded food waste residue from ultra-processing activities at food manufacturing and packaging industry
Deval Singh, Mamta Tembhare, Nitesh Machhirake, et al.
Energy (2022) Vol. 263, pp. 126138-126138
Closed Access | Times Cited: 36
Optimization of multi-dimensional indices for kiwifruit orchard soil moisture content estimation using UAV and ground multi-sensors
Shidan Zhu, Ningbo Cui, Huaan Jin, et al.
Agricultural Water Management (2024) Vol. 294, pp. 108705-108705
Open Access | Times Cited: 7
NDMFCS: An automatic fruit counting system in modern apple orchard using abatement of abnormal fruit detection
Zhenchao Wu, Xiaoming Sun, Hanhui Jiang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108036-108036
Closed Access | Times Cited: 15
Prediction of Pea (Pisum sativum L.) Seeds Yield Using Artificial Neural Networks
Patryk Hara, Magdalena Piekutowska, Gniewko Niedbała
Agriculture (2023) Vol. 13, Iss. 3, pp. 661-661
Open Access | Times Cited: 14
Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach
Benjamin Adjah Torgbor, M. M. Rahman, James Brinkhoff, et al.
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 3075-3075
Open Access | Times Cited: 14
Improved YOLOv5 Network for Detection of Peach Blossom Quantity
Sun Li, Jingfa Yao, Hongbo Cao, et al.
Agriculture (2024) Vol. 14, Iss. 1, pp. 126-126
Open Access | Times Cited: 5
A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning
Yonasi Safari, Joyce Nakatumba‐Nabende, Rose Nakasi, et al.
IEEE Access (2024) Vol. 12, pp. 21358-21381
Open Access | Times Cited: 5
A passion fruit counting method based on the lightweight YOLOv5s and improved DeepSORT
Shuqin Tu, Yufei Huang, Yun Liang, et al.
Precision Agriculture (2024) Vol. 25, Iss. 3, pp. 1731-1750
Closed Access | Times Cited: 5
Lightweight Apple Detection in Complex Orchards Using YOLOV5-PRE
Lijuan Sun, Guangrui Hu, Chao Chen, et al.
Horticulturae (2022) Vol. 8, Iss. 12, pp. 1169-1169
Open Access | Times Cited: 22
Digital Mapping of Root-Zone Soil Moisture Using UAV-Based Multispectral Data in a Kiwifruit Orchard of Northwest China
Shidan Zhu, Ningbo Cui, Ji Zhou, et al.
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 646-646
Open Access | Times Cited: 12
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