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:

Artificial Intelligence for Classification and Detection of Major Insect Pests of Brinjal
Niranjan Saikumar, N Emmanuel, Kalpesh Krishna, et al.
Indian Journal of Entomology (2023), pp. 563-566
Open Access | Times Cited: 14

Showing 14 citing articles:

Remote sensing and artificial intelligence: revolutionizing pest management in agriculture
Danishta Aziz, Summira Rafiq, Pawan Saini, et al.
Frontiers in Sustainable Food Systems (2025) Vol. 9
Open Access

Avian predators in Cocoon market on the Uzi fly Exorista bombycis Louis.
Ravi Kumara R, J Harishkumar
Insect Environment (2024) Vol. 27, Iss. 2
Open Access

Pink Bollworm management in cotton: Challenges, innovations, and sustainable solutions
Pooja Dalal, Mandeep Redhu, Arvind Mor
Insect Environment (2024) Vol. 27, Iss. 2
Open Access

The role of citizen science in monitoring forest pests: A collaborative approach
Vidya Madhuri E, Rupali J. S, S. Rajna, et al.
Insect Environment (2024) Vol. 27, Iss. 2
Open Access

Pink bollworm threat: Its management in the Indian cotton industry
Satyabrata Sarangi, Suman Samilita Dash, P Bhavana, et al.
Insect Environment (2024) Vol. 27, Iss. 2
Open Access

Pterochloroides persicae (Cholodkovosky): A threat to peach economy of Himachal Pradesh?
Chander Singh, Verma Sc, Sharma PL, et al.
Insect Environment (2024) Vol. 27, Iss. 2
Open Access

Leveraging Machine Learning and Deep Learning Techniques for Accurate Classification of Stored Grain Pests
Muthukrishnan Sakthivel Santhanambika, G. Uma Maheswari, N. Valliammal, et al.
Indian Journal of Entomology (2024), pp. 1-5
Closed Access

Deep Learning-Based Accurate Detection of Insects and Damage in Cruciferous Crops Using YOLOv5
Sourav Chakrabarty, P. R. Shashank, Chandan Kumar Deb, et al.
Smart Agricultural Technology (2024), pp. 100663-100663
Open Access

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