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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:

iGluK-Deep: computational identification of lysine glutarylation sites using deep neural networks with general pseudo amino acid compositions
Sheraz Naseer, Rao Faizan Ali, Yaser Daanial Khan, et al.
Journal of Biomolecular Structure and Dynamics (2021) Vol. 40, Iss. 22, pp. 11691-11704
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The applications of deep learning algorithms on in silico druggable proteins identification
Lezheng Yu, Xue Li, Fengjuan Liu, et al.
Journal of Advanced Research (2022) Vol. 41, pp. 219-231
Open Access | Times Cited: 31
Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites
Xiao Wang, Zhaoyuan Ding, Rong Wang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18
Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis
Zhenchang Gao, Jinxian Huang, Jiashun Chen, et al.
Aquaculture International (2024) Vol. 32, Iss. 4, pp. 5171-5198
Closed Access | Times Cited: 6
The Sustainable Rural Industrial Development under Entrepreneurship and Deep Learning from Digital Empowerment
Suwei Gao, Xiaobei Yang, Huizhen Long, et al.
Sustainability (2023) Vol. 15, Iss. 9, pp. 7062-7062
Open Access | Times Cited: 10
From G1 to M: a comparative study of methods for identifying cell cycle phases
Xinyu Guo, Liang Chen
Briefings in Bioinformatics (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 10
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
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: 9
Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model
Jinsong Ke, Jianmei Zhao, Hongfei Li, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108330-108330
Closed Access | Times Cited: 3
DeepDN_iGlu: prediction of lysine glutarylation sites based on attention residual learning method and DenseNet
Jianhua Jia, Mingwei Sun, Genqiang Wu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2815-2830
Open Access | Times Cited: 13
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
The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes
Dong Gao, Liping Ren, Yu-Duo Hao, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 7
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
PseU-Pred: An ensemble model for accurate identification of pseudouridine sites
Muhammad Taseer Suleman, Yaser Daanial Khan
Analytical Biochemistry (2023) Vol. 676, pp. 115247-115247
Closed Access | Times Cited: 6
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
Internet of Things (IoT) Security Challenges and Solutions: A Systematic Literature Review
Rao Faizan Ali, Amgad Muneer, P.D.D. Dominic, et al.
Communications in computer and information science (2021), pp. 128-154
Closed Access | Times Cited: 14
m1A-pred: Prediction of Modified 1-methyladenosine Sites in RNA Sequences through Artificial Intelligence
Muhammad Taseer Suleman, Yaser Daanial Khan
Combinatorial Chemistry & High Throughput Screening (2022) Vol. 25, Iss. 14, pp. 2473-2484
Closed 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
iTAGPred: A Two-Level Prediction Model for Identification of Angiogenesis and Tumor Angiogenesis Biomarkers
Khalid Allehaibi, Yaser Daanial Khan, Sher Afzal Khan
Applied Bionics and Biomechanics (2021) Vol. 2021, pp. 1-15
Open Access | Times Cited: 11
A comprehensive tool for accurate identification of methyl-Glutamine sites
Sharaf J. Malebary, Ebraheem Alzahrani, Yaser Daanial Khan
Journal of Molecular Graphics and Modelling (2021) Vol. 110, pp. 108074-108074
Closed Access | Times Cited: 11
ECAmyloid: An amyloid predictor based on ensemble learning and comprehensive sequence-derived features
Runtao Yang, Jiaming Liu, Lina Zhang
Computational Biology and Chemistry (2023) Vol. 104, pp. 107853-107853
Closed Access | Times Cited: 4
m5c-iDeep: 5-Methylcytosine sites identification through deep learning
Sharaf J. Malebary, Nashwan Alromema, Muhammad Taseer Suleman, et al.
Methods (2024) Vol. 230, pp. 80-90
Closed Access | Times Cited: 1
Gluconeogenesis unraveled: A proteomic Odyssey with machine learning
Seher Ansar Khawaja, Fahad Alturise, Tamim Alkhalifah, et al.
Methods (2024)
Closed Access | Times Cited: 1
LLM4THP: a computing tool to identify tumor homing peptides by molecular and sequence representation of large language model based on two-layer ensemble model strategy
Sen Yang, Piao Xu
Amino Acids (2024) Vol. 56, Iss. 1
Open Access | Times Cited: 1
Computational identification of promoters in Klebsiella aerogenes by using support vector machine
Yan Lin, Meili Sun, Junjie Zhang, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 3
FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites
Ning Qiao, Zedong Qi, Yue Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 5
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