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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:

Deep learning-based classification models for beehive monitoring
Selcan Kaplan Berkaya, Efnan Şora Günal, Serkan Günal
Ecological Informatics (2021) Vol. 64, pp. 101353-101353
Closed Access | Times Cited: 23

Showing 23 citing articles:

Cows' legs tracking and lameness detection in dairy cattle using video analysis and Siamese neural networks
Zhiyang Zheng, Xiaoqian Zhang, Lifeng Qin, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107618-107618
Closed Access | Times Cited: 33
Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices
Dimple Dimple, Pradeep Kumar Singh, Jitendra Rajput, et al.
Ecological Informatics (2023) Vol. 75, pp. 102093-102093
Closed Access | Times Cited: 33
Digital twin challenges in biodiversity modelling
Athanasios Trantas, Ruduan Plug, Paolo Pileggi, et al.
Ecological Informatics (2023) Vol. 78, pp. 102357-102357
Open Access | Times Cited: 19
AI in apiculture: A novel framework for recognition of invasive insects under unconstrained flying conditions for smart beehives
Abdul Nasir, Muhammad Obaid Ullah, Muhammad Haroon Yousaf
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105784-105784
Closed Access | Times Cited: 14
Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey
Šimon Bilík, Tomáš Zemčík, Lukáš Kratochvíla, et al.
Computers and Electronics in Agriculture (2023) Vol. 217, pp. 108560-108560
Open Access | Times Cited: 13
Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques
Dinh-Tu Nguyen, Thi-Nhung Le, Thi-Huong Phung, et al.
Ecological Informatics (2024) Vol. 82, pp. 102744-102744
Open Access | Times Cited: 4
An expert system for honeybee species identification and information retrieval
Swati Shilaskar, Shripad Bhatlawande, Shafaque Sheikh, et al.
Biological Diversity and Conservation (2025) Vol. 18, Iss. 1, pp. 1-12
Open Access
Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production
Johanna Ramírez-Díaz, Arianna Manunza, Tiago Almeida de Oliveira, et al.
Insects (2025) Vol. 16, Iss. 3, pp. 278-278
Open Access
A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet
Hüseyin Gündüz, Serkan Günal
PeerJ Computer Science (2024) Vol. 10, pp. e1970-e1970
Open Access | Times Cited: 2
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: 6
Segmentation of diatoms using edge detection and deep learning
Hüseyin Gündüz, CÜNEYD NADİR SOLAK, Serkan Günal
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2022) Vol. 30, Iss. 6, pp. 2268-2285
Open Access | Times Cited: 9
BeeNet: An End-To-End Deep Network For Bee Surveillance
John Yoo, Rumali Siddiqua, Xuehan Liu, et al.
Procedia Computer Science (2023) Vol. 222, pp. 415-424
Open Access | Times Cited: 4
Using honey bee flight activity data and a deep learning model as a toxicovigilance tool
Ulises Olivares‐Pinto, Cédric Alaux, Yves Le Conte, et al.
Ecological Informatics (2024) Vol. 81, pp. 102653-102653
Open Access | Times Cited: 1
Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It
Putri Kusuma Astuti, Bettina Hegedűs, Andrzej Oleksa, et al.
Insects (2024) Vol. 15, Iss. 6, pp. 418-418
Open Access | Times Cited: 1
Bal Arı Hastalıklarının Sınıflandırılması için ConvMixer, VGG16 ve ResNet101 Tabanlı Topluluk Öğrenme Yaklaşımı
Hüseyin Üzen, Mustafa Altın, İpek BALIKÇI ÇİÇEK
Fırat Üniversitesi Mühendislik Bilimleri Dergisi (2024) Vol. 36, Iss. 1, pp. 133-145
Open Access
A Comprehensive Review of Beekeeping Datasets for Precision Apiculture Research
Seloua Haddaoui, Nawrès Khlifa, Salim Chıkhı, et al.
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2024) Vol. 13, pp. 2043-2048
Closed Access
Application of Machine Learning and Deep Learning Models in the Supervision of Apiculture
C. G. Raghavendra, H. H. Adithya, H. J. Lekhashree, et al.
Journal of Mines Metals and Fuels (2024), pp. 407-417
Closed Access
A Novel Convolutional Neural Network Architecture for Pollen-Bearing Honeybee Recognition
Thi-Nhung Le, Thi-Minh-Thuy Le, Thi-Thu-Hong Phan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 1
Enhanced rendering-based approach for improved quality of instance segmentation in detecting green gram (Vigna Rediata) pods
Nagaraj V. Dharwadkar, RajinderKumar M. Math
Smart Agricultural Technology (2023) Vol. 7, pp. 100386-100386
Open Access | Times Cited: 1
DY-RetinaNet Based Identification of Common Species at Beehive Nest Gates
Xianming Hu, Chao Liu, Shouying Lin
Symmetry (2022) Vol. 14, Iss. 6, pp. 1157-1157
Open Access | Times Cited: 2
Enhanced Rendering-Based Approach for Improved Quality of Instance Segmentation in Detecting Green Gram (Vigna Rediata) Pods
Nagaraj V. Dharwadkar, RajinderKumar M. Math
(2023)
Closed Access
SEGBEE: Mobile Application for Honey Segmentation in Apiary Boards
Daniel W. S. Rocha, Eduardo Cardoso Melo, Bruno Alberto Soares Oliveira
Revista de Informática Teórica e Aplicada (2022) Vol. 29, Iss. 3, pp. 54-64
Open Access
Perbandingan Algoritma Xception dan VGG16 Untuk Pengenalan Lebah Pollen-Bearing
Handrie Noprisson, Ida Nurhaida, Mariana Purba
JSAI (Journal Scientific and Applied Informatics) (2022) Vol. 5, Iss. 3, pp. 223-227
Open Access
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