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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:

Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services
Hugo Hadjur, Doreid Ammar, Laurent Lefèvre
Computers and Electronics in Agriculture (2021) Vol. 192, pp. 106604-106604
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

The Role of Beekeeping in the Generation of Goods and Services: The Interrelation between Environmental, Socioeconomic, and Sociocultural Utilities
Olatz Etxegarai-Legarreta, Valeriano Sanchez‐Famoso
Agriculture (2022) Vol. 12, Iss. 4, pp. 551-551
Open Access | Times Cited: 52
Recent developments on precision beekeeping: A systematic literature review
Maria Alleri, Salvatore Amoroso, Pietro Catania, et al.
Journal of Agriculture and Food Research (2023) Vol. 14, pp. 100726-100726
Open Access | Times Cited: 23
A deep learning-based approach for bee sound identification
Trương Thu Hương, Huu Du Nguyen, Thi Quynh Anh, et al.
Ecological Informatics (2023) Vol. 78, pp. 102274-102274
Closed Access | Times Cited: 17
Systematic Review on Internet of Things in Smart Livestock Management Systems
Sebastian Terence, Jude Immaculate, M. M. Anishin Raj, et al.
Sustainability (2024) Vol. 16, Iss. 10, pp. 4073-4073
Open Access | Times Cited: 8
Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing the Beekeeping Sector
Pier Paolo Danieli, Nicola Francesco Addeo, Filippo Lazzari, et al.
Animals (2023) Vol. 14, Iss. 1, pp. 70-70
Open Access | Times Cited: 15
BHiveSense: An integrated information system architecture for sustainable remote monitoring and management of apiaries based on IoT and microservices
Duarte Cota, José Martins, Henrique São Mamede, et al.
Journal of Open Innovation Technology Market and Complexity (2023) Vol. 9, Iss. 3, pp. 100110-100110
Open Access | Times Cited: 13
Modeling bee hive dynamics: Assessing colony health using hive weight and environmental parameters
Jürgen Degenfellner, Matthias Templ
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108742-108742
Open Access | Times Cited: 4
Advanced sensors for noninvasive bee colony inspection
Mihajlo Milovanović, Jelena Pejić, Petar Pejić
Computers and Electronics in Agriculture (2025) Vol. 231, pp. 109945-109945
Closed Access
IoT and Machine Learning Techniques for Precision Beekeeping: A Review
Agatha Turyagyenda, Andrew Katumba, Roseline Akol, et al.
AI (2025) Vol. 6, Iss. 2, pp. 26-26
Open Access
Visual recognition of honeybee behavior patterns at the hive entrance
Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318401-e0318401
Open Access
Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon
Igor Kurdin, Aleksandra Kurdina
Inventions (2025) Vol. 10, Iss. 2, pp. 23-23
Open Access
4D Bioforming with Bees: An Industry-Compatible Prototyping Method for Polymorphic Honeycomb Creation
Y. L. Wang, Huajie Suen, Shengfeng Duan, et al.
(2025), pp. 1-17
Closed Access
A Low-Cost, Low-Power, Multisensory Device and Multivariable Time Series Prediction for Beehive Health Monitoring
Iraklis Rigakis, Ilyas Potamitis, Nicolas‐Alexander Tatlas, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1407-1407
Open Access | Times Cited: 10
Monitoring System Enhancing the Potential of Urban Beekeeping
Andrzej Szczurek, Monika Maciejewska, Piotr Batog
Applied Sciences (2023) Vol. 13, Iss. 1, pp. 597-597
Open Access | Times Cited: 8
Automated, non-invasive Varroa mite detection by vibrational measurements of gait combined with machine learning
Harriet Hall, Martin Bencsik, Michael I. Newton
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Predicting internal conditions of beehives using precision beekeeping
M. Carmen Robustillo, Carlos J. Pérez, M. Isabel Parra
Biosystems Engineering (2022) Vol. 221, pp. 19-29
Open Access | Times Cited: 12
The Importance of Context Awareness in Acoustics-Based Automated Beehive Monitoring
Mahsa Abdollahi, Evan Henry, Pierre Giovenazzo, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 195-195
Open Access | Times Cited: 11
Energy-efficient Internet of Things using LoRa Network and modular universal programmable controller in bee apiary management
Vladimir Vatskel, Аndrii Biloshchytskyi, Alexandr Neftissov, et al.
Procedia Computer Science (2024) Vol. 231, pp. 715-720
Open Access | Times Cited: 2
System Mapping of the Production and Value Chain to Explore Beekeeping Potential in Southwest Ethiopia
Mulubrihan Bayissa, Ludwig Lauwers, Fikadu Mitiku, et al.
Insects (2024) Vol. 15, Iss. 2, pp. 106-106
Open Access | Times Cited: 2
BeeOpen—An Open Data Sharing Ecosystem for Apiculture
Shreyas Mysore Guruprasad, Benjamin Leiding
Agriculture (2024) Vol. 14, Iss. 3, pp. 470-470
Open Access | Times Cited: 2
Unveiling beekeepers’ use and preference of precision apiculture systems
Philippos Vardakas, Giulia Mainardi, Étienne Minaud, et al.
Journal of Apicultural Research (2024), pp. 1-10
Closed Access | Times Cited: 2
European beekeepers’ interest in digital monitoring technology adoption for improved beehive management
Wim Verbeke, Mariam Amadou Diallo, Coby van Dooremalen, et al.
Computers and Electronics in Agriculture (2024) Vol. 227, pp. 109556-109556
Open Access | Times Cited: 2
Toward Bee Behavioral Pattern Recognition on Hive Entrance using YOLOv8
Tomyslav Sledevič, Darius Plonis
(2023), pp. 1-4
Closed Access | Times Cited: 5
Apis-Prime: A deep learning model to optimize beehive monitoring system for the task of daily weight estimation
Omar Anwar, Adrian Keating, Rachel Cardell‐Oliver, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110546-110546
Open Access | Times Cited: 5
Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model
Mohamed Torky, Aida A. Nasr, Aboul Ella Hassanien
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 5
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