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:

iPredCNC: Computational prediction model for cancerlectins and non-cancerlectins using novel cascade features subset selection
Zaheer Ullah Khan, Farman Ali, Irfan Ahmad, et al.
Chemometrics and Intelligent Laboratory Systems (2019) Vol. 195, pp. 103876-103876
Closed Access | Times Cited: 38

Showing 26-50 of 38 citing articles:

Deep-GHBP: Improving prediction of Growth Hormone-binding proteins using deep learning model
Farman Ali, Harish Kumar, Shruti Patil, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103856-103856
Closed Access | Times Cited: 21

iDBP-PBMD: A machine learning model for detection of DNA-binding proteins by extending compression techniques into evolutionary profile
Ameen Banjar, Farman Ali, Omar Alghushairy, et al.
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104697-104697
Closed Access | Times Cited: 21

Deep-PCL: A deep learning model for prediction of cancerlectins and non cancerlectins using optimized integrated features
Adnan, Farman Ali, Ali Ghulam, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 221, pp. 104484-104484
Closed Access | Times Cited: 25

An omics-driven computational model for angiogenic protein prediction: Advancing therapeutic strategies with Ens-deep-AGP
Naif Almusallam, Farman Ali, Atef Masmoudi, et al.
International Journal of Biological Macromolecules (2024), pp. 136475-136475
Closed Access | Times Cited: 3

A bi-layer model for identification of piwiRNA using deep neural learning
Adnan Adnan, Hongya Wang, Farman Ali, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 11, pp. 5725-5733
Closed Access | Times Cited: 8

Multi-headed Ensemble Residual CNN: A Powerful Tool for Fibroblast Growth Factor Prediction
Naif Almusallam, Farman Ali, Harish Kumar, et al.
Results in Engineering (2024) Vol. 24, pp. 103348-103348
Open Access | Times Cited: 2

Identification of cancerlectin proteins using hyperparameter optimization in deep learning and DDE profiles
Rahu Sikander, Ali Ghulam, Jawad Hassan, et al.
Mehran University Research Journal of Engineering and Technology (2023) Vol. 42, Iss. 4, pp. 28-28
Open Access | Times Cited: 4

NLP-BCH-Ens: NLP-based intelligent computational model for discrimination of malaria parasite
Maqsood Hayat, Muhammad Tahir, Fawaz Khaled Alarfaj, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105962-105962
Closed Access | Times Cited: 7

DeepSSPred: A Deep Learning Based Sulfenylation Site Predictor Via a Novel nSegmented Optimize Federated Feature Encoder
Zaheer Ullah Khan, Dechang Pi
Protein and Peptide Letters (2020) Vol. 28, Iss. 6, pp. 708-721
Closed Access | Times Cited: 5

The accurate prediction and characterization of cancerlectin by a combined machine learning and GO analysis
Furong Tang, Lichao Zhang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 4

Exploring Machine Learning Algorithms and Their Applications in Materials Science
Chinua Obasi, Oluyemi Oranu
Journal of Computational Intelligence in Materials Science (2024), pp. 023-035
Closed Access

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