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:
Multiclass Pesticide Residues in Fruits and Vegetables from Brazil: A Systematic Review of Sample Preparation Until Post-Harvest
Jelmir Craveiro de Andrade, Diego Galvan, Luciane Effting, et al.
Critical Reviews in Analytical Chemistry (2021) Vol. 53, Iss. 6, pp. 1174-1196
Closed Access | Times Cited: 7
Jelmir Craveiro de Andrade, Diego Galvan, Luciane Effting, et al.
Critical Reviews in Analytical Chemistry (2021) Vol. 53, Iss. 6, pp. 1174-1196
Closed Access | Times Cited: 7
Showing 7 citing articles:
Consumption of fruits and vegetables contaminated with pesticide residues in Brazil: A systematic review with health risk assessment
Jelmir Craveiro de Andrade, Diego Galvan, Lilian Seiko Kato, et al.
Chemosphere (2023) Vol. 322, pp. 138244-138244
Closed Access | Times Cited: 36
Jelmir Craveiro de Andrade, Diego Galvan, Lilian Seiko Kato, et al.
Chemosphere (2023) Vol. 322, pp. 138244-138244
Closed Access | Times Cited: 36
Recent Advances in Nanomaterial-Based Biosensors for Pesticide Detection in Foods
Ana Carolina de Morais Mirres, Brenno Enrique Pereira de Matos da Silva, Letícia Tessaro, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 572-572
Open Access | Times Cited: 32
Ana Carolina de Morais Mirres, Brenno Enrique Pereira de Matos da Silva, Letícia Tessaro, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 572-572
Open Access | Times Cited: 32
Intelligent Rapid Detection Techniques for Low-Content Components in Fruits and Vegetables: A Comprehensive Review
Sai Xu, Yinghua Guo, Xin Liang, et al.
Foods (2024) Vol. 13, Iss. 7, pp. 1116-1116
Open Access | Times Cited: 2
Sai Xu, Yinghua Guo, Xin Liang, et al.
Foods (2024) Vol. 13, Iss. 7, pp. 1116-1116
Open Access | Times Cited: 2
Deep Learning in Precision Agriculture: Artificially Generated VNIR Images Segmentation for Early Postharvest Decay Prediction in Apples
Nikita Stasenko, Islomjon Shukhratov, Maxim Savinov, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 987-987
Open Access | Times Cited: 6
Nikita Stasenko, Islomjon Shukhratov, Maxim Savinov, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 987-987
Open Access | Times Cited: 6
Emerging perspectives on analytical techniques and machine learning for food metabolomics in the era of industry 4.0: a systematic review
Salman Taheri, Jelmir Craveiro de Andrade, Carlos Adam Conte‐Júnior
Critical Reviews in Food Science and Nutrition (2024), pp. 1-27
Closed Access
Salman Taheri, Jelmir Craveiro de Andrade, Carlos Adam Conte‐Júnior
Critical Reviews in Food Science and Nutrition (2024), pp. 1-27
Closed Access
Risk perception and sensory analyses of fresh tomatoes obtained from an open market in São Paulo, Brazil
Sueli Aparecida Moreira, Bruno Wanderley, Siglea S de F Chaves, et al.
Horticultura Brasileira (2023) Vol. 41
Open Access | Times Cited: 1
Sueli Aparecida Moreira, Bruno Wanderley, Siglea S de F Chaves, et al.
Horticultura Brasileira (2023) Vol. 41
Open Access | Times Cited: 1
Potential Application of Organic Electronics in Electrical Sensing of Insects and Integrated Pest Management towards Developing Ecofriendly Replacements for Chemical Insecticides
Lautaro N. Petrauskas, Katherina Haase, G. Schmidt, et al.
Advanced Science (2023) Vol. 11, Iss. 4
Open Access | Times Cited: 1
Lautaro N. Petrauskas, Katherina Haase, G. Schmidt, et al.
Advanced Science (2023) Vol. 11, Iss. 4
Open Access | Times Cited: 1
