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:
ASLncR: a novel computational tool for prediction of abiotic stress-responsive long non-coding RNAs in plants
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Functional & Integrative Genomics (2023) Vol. 23, Iss. 2
Closed Access | Times Cited: 7
Upendra Kumar Pradhan, Prabina Kumar Meher, Sanchita Naha, et al.
Functional & Integrative Genomics (2023) Vol. 23, Iss. 2
Closed Access | Times Cited: 7
Showing 7 citing articles:
A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions
Sneha Murmu, Dipro Sinha, Himanshushekhar Chaurasia, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 18
Sneha Murmu, Dipro Sinha, Himanshushekhar Chaurasia, et al.
Frontiers in Plant Science (2024) Vol. 15
Open Access | Times Cited: 18
Integrative Approaches to Abiotic Stress Management in Crops: Combining Bioinformatics Educational Tools and Artificial Intelligence Applications
Xin Zhang, Zakir Ibrahim, Muhammad Bilawal Khaskheli, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7651-7651
Open Access | Times Cited: 6
Xin Zhang, Zakir Ibrahim, Muhammad Bilawal Khaskheli, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7651-7651
Open Access | Times Cited: 6
GANSamples-ac4C: Enhancing ac4C site prediction via generative adversarial networks and transfer learning
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1
Fei Li, Jiale Zhang, Kewei Li, et al.
Analytical Biochemistry (2024) Vol. 689, pp. 115495-115495
Closed Access | Times Cited: 1
ASPTF: A computational tool to predict abiotic stress-responsive transcription factors in plants by employing machine learning algorithms
Upendra Kumar Pradhan, Anuradha Mahapatra, Sanchita Naha, et al.
Biochimica et Biophysica Acta (BBA) - General Subjects (2024) Vol. 1868, Iss. 6, pp. 130597-130597
Closed Access | Times Cited: 1
Upendra Kumar Pradhan, Anuradha Mahapatra, Sanchita Naha, et al.
Biochimica et Biophysica Acta (BBA) - General Subjects (2024) Vol. 1868, Iss. 6, pp. 130597-130597
Closed Access | Times Cited: 1
Bioinformatics Approaches for Unraveling the Complexities of Plant Stress Physiology
Sneha Murmu, Himanshushekhar Chaurasia, Ipsita Samal, et al.
(2024), pp. 209-231
Closed Access
Sneha Murmu, Himanshushekhar Chaurasia, Ipsita Samal, et al.
(2024), pp. 209-231
Closed Access
AScirRNA: A novel computational approach to discover abiotic stress-responsive circular RNAs in plant genomes
Upendra Kumar Pradhan, Prasanjit Behera, Ritwika Das, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108205-108205
Closed Access
Upendra Kumar Pradhan, Prasanjit Behera, Ritwika Das, et al.
Computational Biology and Chemistry (2024) Vol. 113, pp. 108205-108205
Closed Access
Deciphering Plant Transcriptomes: Leveraging Machine Learning for Deeper Insights
Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly
Current Plant Biology (2024), pp. 100432-100432
Open Access
Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly
Current Plant Biology (2024), pp. 100432-100432
Open Access
