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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.

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Showing 19 citing articles:

AFP-LSE: Antifreeze Proteins Prediction Using Latent Space Encoding of Composition of k-Spaced Amino Acid Pairs
Muhammad Usman, Shujaat Khan, Jeong–A Lee
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 42
Molecular simulation -based research on antifreeze peptides: advances and perspectives
Wenting Jiang, Fujia Yang, Xu Chen, et al.
Journal of Future Foods (2022) Vol. 2, Iss. 3, pp. 203-212
Open Access | Times Cited: 16
Molecular evidence of intertidal habitats selecting for repeated ice-binding protein evolution in invertebrates
Isaiah C. H. Box, Benjamin J. Matthews, Katie E. Marshall
Journal of Experimental Biology (2022) Vol. 225, Iss. Suppl_1
Open Access | Times Cited: 13
Prediction of anti-freezing proteins from their evolutionary profile
Nishant Kumar, Shubham Choudhury, Nisha Bajiya, et al.
(2024)
Closed Access | Times Cited: 2
PMTPred: machine-learning-based prediction of protein methyltransferases using the composition of k-spaced amino acid pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
Molecular Diversity (2024) Vol. 28, Iss. 4, pp. 2301-2315
Closed Access | Times Cited: 2
AoP-LSE: Antioxidant Proteins Classification Using Deep Latent Space Encoding of Sequence Features
Muhammad Usman, Shujaat Khan, Seongyong Park, et al.
Current Issues in Molecular Biology (2021) Vol. 43, Iss. 3, pp. 1489-1501
Open Access | Times Cited: 13
AFP-SRC: identification of antifreeze proteins using sparse representation classifier
Muhammad Usman, Shujaat Khan, Seongyong Park, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 3, pp. 2275-2285
Closed Access | Times Cited: 12
ECM-LSE: Prediction of Extracellular Matrix Proteins Using Deep Latent Space Encoding of k-Spaced Amino Acid Pairs
Ubaid M. Al‐Saggaf, Muhammad Usman, Imran Naseem, et al.
Frontiers in Bioengineering and Biotechnology (2021) Vol. 9
Open Access | Times Cited: 12
AMC-IoT: Automatic Modulation Classification Using Efficient Convolutional Neural Networks for Low Powered IoT Devices
Muhammad Usman, Jeong–A Lee
2021 International Conference on Information and Communication Technology Convergence (ICTC) (2020), pp. 288-293
Closed Access | Times Cited: 11
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites
Yan Zheng, Hao Wang, Yijie Ding, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 18, Iss. 6, pp. 2768-2774
Open Access | Times Cited: 8
PMTPred: Machine Learning Based Prediction of Protein Methyltransferases using the Composition of k-spaced Amino Acid Pairs
Arvind Kumar Yadav, P. K. Gupta, Tiratha Raj Singh
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
A Study on Heart Segmentation Using Deep Learning Algorithm for MRI Scans
Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman, et al.
2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (2019) Vol. pp, pp. 1-5
Closed Access | Times Cited: 5
AOPM: Application of Antioxidant Protein Classification Model in Predicting the Composition of Antioxidant Drugs
Yixiao Zhai, Jingyu Zhang, Tianjiao Zhang, et al.
Frontiers in Pharmacology (2022) Vol. 12
Open Access | Times Cited: 3
Prediction of Anti‐Freezing Proteins From Their Evolutionary Profile
Nishant Kumar, Shubham Choudhury, Nisha Bajiya, et al.
PROTEOMICS (2024)
Closed Access
BERT-DomainAFP: Antifreeze Protein Recognition and Classification Model Based on BERT and Structural Domain Annotation
Shengzhen Chen, Ping Zheng, Lele Zheng, et al.
(2024)
Closed Access
q-RBFNN:A Quantum Calculus-based RBF Neural Network
Syed Saiq Hussain, Muhammad Usman, Taha Hasan Masood Siddique, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Fractional Stochastic Gradient Descent Based Learning Algorithm For Multi-layer Perceptron Neural Networks
Alishba Sadiq, Norashikin Yahya
(2021), pp. 1-4
Closed Access | Times Cited: 2
A Predictive Study of Feature Encoding and Selection Methods on PTM Lysine Glutarylation Site Allocation
MD. Salahuddin Fahad, Md. Nazrul Islam Mondal, Anika Tabassum Era
(2022), pp. 1-4
Closed Access
Molecular evidence of intertidal habitats selecting for repeated ice-binding protein evolution in invertebrates
Isaiah C. H. Box, Benjamin J. Matthews, Katie E. Marshall
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access
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