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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:

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

Showing 24 citing articles:

LBCEPred: a machine learning model to predict linear B-cell epitopes
Wajdi Alghamdi, Muhammad Attique, Ebraheem Alzahrani, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 23
TNFR‐LSTM: A Deep Intelligent Model for Identification of Tumour Necroses Factor Receptor (TNFR) Activity
Faisal Binzagr, Ansar Naseem, Muhammad Umer Farooq, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
ORI-Deep: improving the accuracy for predicting origin of replication sites by using a blend of features and long short-term memory network
Mahwish Shahid, M. Ilyas, Waqar Hussain, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Closed Access | Times Cited: 16
iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models
Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2023) Vol. 9, pp. 205520762311659-205520762311659
Open Access | Times Cited: 8
DNA-MP: a generalized DNA modifications predictor for multiple species based on powerful sequence encoding method
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Ahtisham Fazeel, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 13
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
Identification of 6-methyladenosine sites using novel feature encoding methods and ensemble models
Nashwan Alromema, Muhammad Taseer Suleman, Sharaf J. Malebary, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
An intelligent model for prediction of abiotic stress-responsive microRNAs in plants using statistical moments based features and ensemble approaches
Ansar Naseem, Yaser Daanial Khan
Methods (2024) Vol. 228, pp. 65-79
Closed Access | Times Cited: 2
Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning
Lezheng Yu, Yonglin Zhang, Xue Li, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 12
A machine learning technique for identifying DNA enhancer regions utilizing CIS-regulatory element patterns
Ahmad Hassan Butt, Tamim Alkhalifah, Fahad Alturise, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 12
Evaluation of deep learning techniques for identification of sarcoma-causing carcinogenic mutations
Asghar Ali Shah, Fahad Alturise, Tamim Alkhalifah, et al.
Digital Health (2022) Vol. 8, pp. 205520762211337-205520762211337
Open Access | Times Cited: 11
RCCC_Pred: A Novel Method for Sequence-Based Identification of Renal Clear Cell Carcinoma Genes through DNA Mutations and a Blend of Features
Arfa Hassan, Tamim Alkhalifah, Fahad Alturise, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3036-3036
Open Access | Times Cited: 9
DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes
Muhammad Attique, Tamim Alkhalifah, Fahad Alturise, et al.
Computational Biology and Chemistry (2023) Vol. 104, pp. 107874-107874
Open Access | Times Cited: 5
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed Access | Times Cited: 1
iDLB-Pred: identification of disordered lipid binding residues in protein sequences using convolutional neural network
Sharaf J. Malebary, Nashwan Alromema
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree
Shengli Zhang, Yingying Yao, Jie-Sheng Wang, et al.
Analytical Biochemistry (2022) Vol. 652, pp. 114746-114746
Closed Access | Times Cited: 4
DNA methylation in T cell leukaemia
Maike Bensberg
Linköping University medical dissertations (2024)
Open Access
Cloud application importance and challenges: A Systematic Review
Muhammad Zunnurain Hussain, Muhammad Zulkifl Hasan, Nadeem Sarwar, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access | Times Cited: 4
m1A-Ensem: accurate identification of 1-methyladenosine sites through ensemble models
Muhammad Taseer Suleman, Fahad Alturise, Tamim Alkhalifah, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access
ESM-BBB-Pred: a fine-tuned ESM 2.0 and deep neural networks for the identification of blood–brain barrier peptides
Ansar Naseem, Fahad Alturise, Tamim Alkhalifah, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access
Time series-based hybrid ensemble learning model with multivariate multidimensional feature coding for DNA methylation prediction
Wu Yan, Li Tan, Mengshan Li, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access
Role of Statistical Moments and Various Sequence-based Features in Predicting Protein Functions
Muhammad Taseer Suleman
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access
Predicting PTMs through Statistical Moments and Various Sequence-based Features
Muhammad Taseer Suleman
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access
Comprehensive analysis of machine learning based predictors for identifying DNase I hypersensitive sites
Muhammad Rashid Rasheed, Mehwish Gill, Muhammad Asif Subhani, et al.
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-6
Closed Access
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