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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:

Prediction of S-Sulfenylation Sites Using Statistical Moments Based Features via CHOU’S 5-Step Rule
Ahmad Hassan Butt, Yaser Daanial Khan
International Journal of Peptide Research and Therapeutics (2019) Vol. 26, Iss. 3, pp. 1291-1301
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

Evaluating machine learning methodologies for identification of cancer driver genes
Sharaf J. Malebary, Yaser Daanial Khan
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 66
CanLect-Pred: A Cancer Therapeutics Tool for Prediction of Target Cancerlectins Using Experiential Annotated Proteomic Sequences
Ahmad Hassan Butt, Yaser Daanial Khan
IEEE Access (2019) Vol. 8, pp. 9520-9531
Open Access | Times Cited: 56
iSUMOK-PseAAC: prediction of lysine sumoylation sites using statistical moments and Chou’s PseAAC
Yaser Daanial Khan, Nabeel Sabir Khan, Sheraz Naseer, et al.
PeerJ (2021) Vol. 9, pp. e11581-e11581
Open Access | Times Cited: 46
iHyd-LysSite (EPSV): Identifying Hydroxylysine Sites in Protein Using Statistical Formulation by Extracting Enhanced Position and Sequence Variant Feature Technique
Muhammad Khalid Mahmood, Asma Ehsan, Yaser Daanial Khan, et al.
Current Genomics (2020) Vol. 21, Iss. 7, pp. 536-545
Open Access | Times Cited: 44
Identification of Antimicrobial Peptides Using Chou’s 5 Step Rule
Sharaf J. Malebary, Yaser Daanial Khan
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 3, pp. 2863-2881
Open Access | Times Cited: 35
A comprehensive review of the imbalance classification of protein post-translational modifications
Lijun Dou, Fenglong Yang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 35
Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule
Abdul Wahid, Dost Muhammad Khan, Nadeem Iqbal, et al.
Chemometrics and Intelligent Laboratory Systems (2020) Vol. 199, pp. 103958-103958
Closed Access | Times Cited: 30
4mC-RF: Improving the prediction of 4mC sites using composition and position relative features and statistical moment
Wajdi Alghamdi, Ebraheem Alzahrani, Malik Zaka Ullah, et al.
Analytical Biochemistry (2021) Vol. 633, pp. 114385-114385
Closed Access | Times Cited: 24
Use Chou’s 5-Steps Rule to Predict Remote Homology Proteins by Merging Grey Incidence Analysis and Domain Similarity Analysis
Wei‐Zhong Lin, Xuan Xiao, Wang‐Ren Qiu, et al.
Natural Science (2020) Vol. 12, Iss. 03, pp. 181-198
Open Access | Times Cited: 25
Ensemble Learning for Hormone Binding Protein Prediction: A Promising Approach for Early Diagnosis of Thyroid Hormone Disorders in Serum
Ahmad Hassan Butt, Tamim Alkhalifah, Fahad Alturise, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1940-1940
Open Access | Times Cited: 8
BBB-PEP-prediction: improved computational model for identification of blood–brain barrier peptides using blending position relative composition specific features and ensemble modeling
Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 7
m5c-iEnsem: 5-Methylcytosine Sites Identification through Ensemble Models
Anas Bilal, Fawaz Khaled Alarfaj, R.A. Khan, et al.
Bioinformatics (2024)
Open Access | Times Cited: 2
Proposing 5-Steps Rule Is a Notable Milestone for Studying Molecular Biology
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 03, pp. 74-79
Open Access | Times Cited: 19
Characterization of the relationship between FLI1 and immune infiltrate level in tumour immune microenvironment for breast cancer
Shiyuan Wang, Yakun Wang, Chunlu Yu, et al.
Journal of Cellular and Molecular Medicine (2020) Vol. 24, Iss. 10, pp. 5501-5514
Open Access | Times Cited: 19
Incorporating hybrid models into lysine malonylation sites prediction on mammalian and plant proteins
Chia‐Ru Chung, Yaping Chang, Yu-Lin Hsu, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 16
Identification of stress response proteins through fusion of machine learning models and statistical paradigms
Ebraheem Alzahrani, Wajdi Alghamdi, Malik Zaka Ullah, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
Using Similarity Software to Evaluate Scientific Paper Quality Is a Big Mistake
Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 03, pp. 42-58
Open Access | Times Cited: 15
PLP_FS: prediction of lysine phosphoglycerylation sites in protein using support vector machine and fusion of multiple F_Score feature selection
Md. Sohrawordi, Md. Ali Hossain, Md. Al Mehedi Hasan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 9
pLoc_Deep-mHum: Predict Subcellular Localization of Human Proteins by Deep Learning
Yutao Shao, Xinxin Liu, Zhe Lü, et al.
Natural Science (2020) Vol. 12, Iss. 07, pp. 526-551
Open Access | Times Cited: 14
Some illuminating remarks on molecular genetics and genomics as well as drug development
Kuo‐Chen Chou
Molecular Genetics and Genomics (2020) Vol. 295, Iss. 2, pp. 261-274
Closed Access | Times Cited: 13
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed Access | Times Cited: 1
Showcase to Illustrate How the Webserver ploc_Bal-Meuk Is Working
Kuo‐Chen Chou
Biomedical Journal of Scientific & Technical Research (2020) Vol. 24, Iss. 2
Open Access | Times Cited: 12
The pLoc_bal-mGneg Predictor is a Powerful Web-Server for Identifying the Subcellular Localization of Gram-Negative Bacterial Proteins based on their Sequences Information Alone
Kuo‐Chen Chou
International Journal of Sciences (2020) Vol. 9, Iss. 01, pp. 27-34
Open Access | Times Cited: 11
Promising Compounds for Treatment of Covid-19
Yasir Daanial Khan, Muhammad Sohaib Roomi
VAWKUM Transactions on Computer Sciences (2020) Vol. 8, Iss. 1, pp. 1-8
Closed Access | Times Cited: 11
pLoc_Deep-mEuk: Predict Subcellular Localization of Eukaryotic Proteins by Deep Learning
Yutao Shao, Kuo‐Chen Chou
Natural Science (2020) Vol. 12, Iss. 06, pp. 400-428
Open Access | Times Cited: 10
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