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:
Machine Learning Models for Identification and Prediction of Toxic Organic Compounds Using Daphnia magna Transcriptomic Profiles
Tae-June Choi, Hyung-Eun An, Chang-Bae Kim
Life (2022) Vol. 12, Iss. 9, pp. 1443-1443
Open Access | Times Cited: 6
Tae-June Choi, Hyung-Eun An, Chang-Bae Kim
Life (2022) Vol. 12, Iss. 9, pp. 1443-1443
Open Access | Times Cited: 6
Showing 6 citing articles:
Systematic approaches to machine learning models for predicting pesticide toxicity
Ganesan Anandhi, M. Iyapparaja
Heliyon (2024) Vol. 10, Iss. 7, pp. e28752-e28752
Open Access | Times Cited: 7
Ganesan Anandhi, M. Iyapparaja
Heliyon (2024) Vol. 10, Iss. 7, pp. e28752-e28752
Open Access | Times Cited: 7
Decoding the molecular concerto: Toxicotranscriptomic evaluation of microplastic and nanoplastic impacts on aquatic organisms
Syed Shabi Ul Hassan Kazmi, Muhammad Tayyab, Paolo Pastorino, et al.
Journal of Hazardous Materials (2024) Vol. 472, pp. 134574-134574
Closed Access | Times Cited: 5
Syed Shabi Ul Hassan Kazmi, Muhammad Tayyab, Paolo Pastorino, et al.
Journal of Hazardous Materials (2024) Vol. 472, pp. 134574-134574
Closed Access | Times Cited: 5
The first report on the assessment of maximum acceptable daily intake (MADI) of pesticides for humans using intelligent consensus predictions
Ankur Kumar, Probir Kumar Ojha, Kunal Roy
Environmental Science Processes & Impacts (2024) Vol. 26, Iss. 5, pp. 870-881
Closed Access | Times Cited: 3
Ankur Kumar, Probir Kumar Ojha, Kunal Roy
Environmental Science Processes & Impacts (2024) Vol. 26, Iss. 5, pp. 870-881
Closed Access | Times Cited: 3
Deep learning-based efficient drone-borne sensing of cyanobacterial blooms using a clique-based feature extraction approach
Jihoon Shin, Gunhyeong Lee, TaeHo Kim, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169540-169540
Closed Access | Times Cited: 10
Jihoon Shin, Gunhyeong Lee, TaeHo Kim, et al.
The Science of The Total Environment (2023) Vol. 912, pp. 169540-169540
Closed Access | Times Cited: 10
A comprehensive prediction system for silkworm acute toxicity assessment of environmental and in-silico pesticides
Yutong Liu, Yue Yu, Bing Wu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 282, pp. 116759-116759
Open Access | Times Cited: 2
Yutong Liu, Yue Yu, Bing Wu, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 282, pp. 116759-116759
Open Access | Times Cited: 2
Characterization and Expression of the Cytochrome P450 Genes in Daphnia magna Exposed to Cerium Oxide Nanoparticles
Xinyi Kang, Yan Zhou, Qi Liu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 19, pp. 10812-10812
Open Access | Times Cited: 2
Xinyi Kang, Yan Zhou, Qi Liu, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 19, pp. 10812-10812
Open Access | Times Cited: 2
