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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.

Requested Article:

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

Showing 1-25 of 42 citing articles:

Prediction of lysine formylation sites using the composition of k-spaced amino acid pairs via Chou's 5-steps rule and general pseudo components
Zhe Ju, Shiyun Wang
Genomics (2019) Vol. 112, Iss. 1, pp. 859-866
Closed Access | Times Cited: 85
iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model
Shahid Akbar, Ashfaq Ahmad, Maqsood Hayat, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104778-104778
Closed Access | Times Cited: 76
Cold adaptation strategies in plants—An emerging role of epigenetics and antifreeze proteins to engineer cold resilient plants
Satyakam, Gaurav Zinta, Rajesh Kumar Singh, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 41
AFP-SPTS: An Accurate Prediction of Antifreeze Proteins Using Sequential and Pseudo-Tri-Slicing Evolutionary Features with an Extremely Randomized Tree
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 826-834
Closed Access | Times Cited: 26
Antifreeze Proteins: Novel Applications and Navigation towards Their Clinical Application in Cryobanking
Marlene Davis Ekpo, Jingxian Xie, Yuying Hu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 5, pp. 2639-2639
Open Access | Times Cited: 37
A deep learning method to more accurately recall known lysine acetylation sites
Meiqi Wu, Yingxi Yang, Hui Wang, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 49
cACP-2LFS: Classification of Anticancer Peptides Using Sequential Discriminative Model of KSAAP and Two-Level Feature Selection Approach
Shahid Akbar, Maqsood Hayat, Muhammad Tahir, et al.
IEEE Access (2020) Vol. 8, pp. 131939-131948
Open Access | Times Cited: 47
Prediction of antifreeze proteins using machine learning
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
Comparative analysis of the existing methods for prediction of antifreeze proteins
Adnan Khan, Jamal Uddin, Farman Ali, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 232, pp. 104729-104729
Closed Access | Times Cited: 22
Deep-Representation-Learning-Based Classification Strategy for Anticancer Peptides
Shujaat Khan
Mathematics (2024) Vol. 12, Iss. 9, pp. 1330-1330
Open Access | Times Cited: 4
A Lightweight Deep Learning Model for Automatic Modulation Classification Using Residual Learning and Squeeze–Excitation Blocks
Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Muhammad Usman, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5145-5145
Open Access | Times Cited: 8
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
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation
Shouzhi Chen, Yanhong Liao, Jianping Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3106-3116
Closed Access | Times Cited: 7
Anticancer Peptides Classification Using Kernel Sparse Representation Classifier
Ehtisham Fazal, Muhammad Sohail Ibrahim, Seongyong Park, et al.
IEEE Access (2023) Vol. 11, pp. 17626-17637
Open Access | Times Cited: 7
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
Multi-Kernel Fusion for RBF Neural Networks
Syed Muhammad Atif, Shujaat Khan, Imran Naseem, et al.
Neural Processing Letters (2022) Vol. 55, Iss. 2, pp. 1045-1069
Open Access | Times Cited: 12
Prediction and analysis of antifreeze proteins
Ryosuke Miyata, Yoshitaka Moriwaki, Tohru Terada, et al.
Heliyon (2021) Vol. 7, Iss. 9, pp. e07953-e07953
Open Access | Times Cited: 13
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
Machine learning algorithms identify demographics, dietary features, and blood biomarkers associated with stroke records
Jundong Liu, Elizabeth L. Chou, Kui Kai Lau, et al.
Journal of the Neurological Sciences (2022) Vol. 440, pp. 120335-120335
Open Access | Times Cited: 8
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
Freeze Tolerance in Sculpins (Pisces; Cottoidea) Inhabiting North Pacific and Arctic Oceans: Antifreeze Activity and Gene Sequences of the Antifreeze Protein
Aya Yamazaki, Yoshiyuki Nishimiya, Sakae Tsuda, et al.
Biomolecules (2019) Vol. 9, Iss. 4, pp. 139-139
Open Access | Times Cited: 10
Genetic Algorithm Approach for the Optimization of Protein Antifreeze Activity Using Molecular Simulations
Daniel Kozuch, Frank H. Stillinger, Pablo G. Debenedetti
Journal of Chemical Theory and Computation (2020) Vol. 16, Iss. 12, pp. 7866-7873
Closed Access | Times Cited: 9
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