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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 acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data augmentation
Alef Iury Ferreira, Nádia Félix Felipe da Silva, Fernanda Neiva Mesquita, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 13

Showing 13 citing articles:

Application of machine learning in automatic image identification of insects - a review
Yuanyi Gao, Xiaobao Xue, Guo‐Qing Qin, et al.
Ecological Informatics (2024) Vol. 80, pp. 102539-102539
Open Access | Times Cited: 14
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
Artificial neuronal networks are revolutionizing entomological research
Manfred Hartbauer
Journal of Applied Entomology (2024) Vol. 148, Iss. 2, pp. 232-251
Open Access | Times Cited: 7
Extensive data engineering to the rescue: building a multi-species katydid detector from unbalanced, atypical training datasets
Shyam Madhusudhana, Holger Klinck, Laurel B. Symes
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Open Access | Times Cited: 7
Towards acoustic monitoring of bees: wingbeat sounds are related to species and individual traits
Alberto Rodríguez Ballesteros, Camille Desjonquères, Violeta Hevia, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1904
Closed Access | Times Cited: 6
Automatic synthesis of insects bioacoustics using machine learning: a systematic review
Henry Kyalo, Henri E. Z. Tonnang, James P. Egonyu, et al.
International Journal of Tropical Insect Science (2025)
Open Access
Transformer Models improve the acoustic recognition of buzz-pollinating bee species
Alef Iury Ferreira, Nádia Félix Felipe da Silva, Fernanda Neiva Mesquita, et al.
Ecological Informatics (2025), pp. 103010-103010
Open Access
High-Res Acoustic and Environmental Data to Monitor Bombus dahlbomii Amid Invasive Species, Habitat Loss
Patrick Chwalek, Marie Kuronaga, Isamar Zhu, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Multi-Features and Multi-Deep Learning Networks to identify, prevent and control pests in tremendous farm fields combining IoT and pests sound analysis
Md. Akkas Ali, Anupam Kumar Sharma, Rajesh Kumar Dhanaraj
(2024)
Closed Access | Times Cited: 2
A wireless, remotely operable and easily customizable robotic flower system
Kamiel Debeuckelaere, Dirk Janssens, Estefanía Serral, et al.
Methods in Ecology and Evolution (2024) Vol. 15, Iss. 8, pp. 1312-1324
Open Access | Times Cited: 1
Buzzing through Data: Advancing Bee Species Identification with Machine Learning
Ashan Milinda Bandara Ratnayake, Hartini M. Yasin, Abdul Ghani Naim, et al.
Applied System Innovation (2024) Vol. 7, Iss. 4, pp. 62-62
Open Access
Approaches in the conservation of Cannabis species and their chemical products
Andrew G. Mtewa, Jessy Baloyi, Benjamin Shaba, et al.
Elsevier eBooks (2024), pp. 675-697
Closed Access
Non-Parametric Machine Learning for Pollinator Image Classification: A Comparative Study
Nurul Amelina Nasharuddin, Nurul Shuhada Zamri
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 34, Iss. 1, pp. 106-115
Open Access
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