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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:

iProtGly‐SS: Identifying protein glycation sites using sequence and structure based features
Md Mofijul Islam, Sanjay Saha, Md Mahmudur Rahman, et al.
Proteins Structure Function and Bioinformatics (2018) Vol. 86, Iss. 7, pp. 777-789
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

PredGly: predicting lysine glycation sites for Homo sapiens based on XGboost feature optimization
Jialin Yu, Shaoping Shi, Fang Zhang, et al.
Bioinformatics (2018) Vol. 35, Iss. 16, pp. 2749-2756
Closed Access | Times Cited: 64
Effective DNA binding protein prediction by using key features via Chou’s general PseAAC
Sheikh Adilina, Dewan Md. Farid, Swakkhar Shatabda
Journal of Theoretical Biology (2018) Vol. 460, pp. 64-78
Closed Access | Times Cited: 54
iRSpot-SF: Prediction of recombination hotspots by incorporating sequence based features into Chou's Pseudo components
M. Maruf, Swakkhar Shatabda
Genomics (2018) Vol. 111, Iss. 4, pp. 966-972
Open Access | Times Cited: 50
Machine Learning Enables Accurate Prediction of Asparagine Deamidation Probability and Rate
Jared A. Delmar, Jihong Wang, Seo Woo Choi, et al.
Molecular Therapy — Methods & Clinical Development (2019) Vol. 15, pp. 264-274
Open Access | Times Cited: 41
iPromoter-FSEn: Identification of bacterial σ70 promoter sequences using feature subspace based ensemble classifier
Md Siddiqur Rahman, Usma Aktar, Rafsanjani Muhammod, et al.
Genomics (2018) Vol. 111, Iss. 5, pp. 1160-1166
Open Access | Times Cited: 40
GlyStruct: glycation prediction using structural properties of amino acid residues
Hamendra Manhar Reddy, Alok Sharma, Abdollah Dehzangi, et al.
BMC Bioinformatics (2019) Vol. 19, Iss. S13
Open Access | Times Cited: 39
BERT-Kgly: A Bidirectional Encoder Representations From Transformers (BERT)-Based Model for Predicting Lysine Glycation Site for Homo sapiens
Yinbo Liu, Yufeng Liu, Gang-Ao Wang, et al.
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 15
Mal-Light: Enhancing Lysine Malonylation Sites Prediction Problem Using Evolutionary-based Features
Md. Wakil Ahmad, Md. Easin Arafat, Ghazaleh Taherzadeh, et al.
IEEE Access (2020) Vol. 8, pp. 77888-77902
Open Access | Times Cited: 19
SEMal: Accurate protein malonylation site predictor using structural and evolutionary information
Shubhashis Roy Dipta, Ghazaleh Taherzadeh, Md. Wakil Ahmad, et al.
Computers in Biology and Medicine (2020) Vol. 125, pp. 104022-104022
Closed Access | Times Cited: 17
Prediction and analysis of multiple protein lysine modified sites based on conditional wasserstein generative adversarial networks
Yingxi Yang, Hui Wang, Wen Li, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 14
PTG-PLM: Predicting Post-Translational Glycosylation and Glycation Sites Using Protein Language Models and Deep Learning
Alhasan Alkuhlani, Walaa Gad, Mohamed Roushdy, et al.
Axioms (2022) Vol. 11, Iss. 9, pp. 469-469
Open Access | Times Cited: 9
New boosting approaches for improving cluster-based undersampling in problems with imbalanced data
Abdullah All Tanvir, Iftakhar Ali Khandokar, Swakkhar Shatabda
Decision Analytics Journal (2023) Vol. 8, pp. 100316-100316
Open Access | Times Cited: 5
SumSec: Accurate Prediction of Sumoylation Sites Using Predicted Secondary Structure
Abdollah Dehzangi, Yosvany López, Ghazaleh Taherzadeh, et al.
Molecules (2018) Vol. 23, Iss. 12, pp. 3260-3260
Open Access | Times Cited: 16
EPAI-NC: Enhanced prediction of adenosine to inosine RNA editing sites using nucleotide compositions
Ahsan Ahmad, Swakkhar Shatabda
Analytical Biochemistry (2019) Vol. 569, pp. 16-21
Closed Access | Times Cited: 11
Accurate prediction of species-specific 2-hydroxyisobutyrylation sites based on machine learning frameworks
You‐Gan Wang, Shuyun Huang, Lina Wang, et al.
Analytical Biochemistry (2020) Vol. 602, pp. 113793-113793
Closed Access | Times Cited: 11
Convolutional neural networks with image representation of amino acid sequences for protein function prediction
Samia Tasnim Sara, Md Mehedi Hasan, Ahsan Ahmad, et al.
Computational Biology and Chemistry (2021) Vol. 92, pp. 107494-107494
Closed Access | Times Cited: 10
RNAI-FRID: novel feature representation method with information enhancement and dimension reduction for RNA–RNA interaction
Qiang Kang, Jun Meng, Yushi Luan
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 7
Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments Via Chou’s 5 Step Rule
Shaheena Khanum, Muhammad Adeel Ashraf, Asim Karim, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 2, pp. 2165-2181
Open Access | Times Cited: 10
A systematic review of recent trends in research on therapeutically significant l-asparaginase and acute lymphoblastic leukemia
Susan Aishwarya Suresh, Selvarajan Ethiraj, Rajnish Narayanan
Molecular Biology Reports (2022) Vol. 49, Iss. 12, pp. 11281-11287
Closed Access | Times Cited: 6
DeepGly: A Deep Learning Framework With Recurrent and Convolutional Neural Networks to Identify Protein Glycation Sites From Imbalanced Data
Jingui Chen, Runtao Yang, Chengjin Zhang, et al.
IEEE Access (2019) Vol. 7, pp. 142368-142378
Open Access | Times Cited: 9
Accurately predicting microbial phosphorylation sites using evolutionary and structural features
Faisal Ahmed, Abdollah Dehzangi, Md Mehedi Hasan, et al.
Gene (2022) Vol. 851, pp. 146993-146993
Closed Access | Times Cited: 5
SubFeat: Feature subspacing ensemble classifier for function prediction of DNA, RNA and protein sequences
H. M. Fazlul Haque, Rafsanjani Muhammod, Fariha Arifin, et al.
Computational Biology and Chemistry (2021) Vol. 92, pp. 107489-107489
Open Access | Times Cited: 6
MethEvo: an accurate evolutionary information-based methylation site predictor
Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, et al.
Neural Computing and Applications (2022) Vol. 36, Iss. 1, pp. 201-212
Closed Access | Times Cited: 4
iPromoter-BnCNN: a novel branched CNN based predictor for identifying and classifying sigma promoters
Ruhul Amin, Chowdhury Rafeed Rahman, Md. Habibur Rahman Sifat, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 4
iProtGly-SS: A Tool to Accurately Predict Protein Glycation Site Using Structural-Based Features
Abdollah Dehzangi, Alok Sharma, Swakkhar Shatabda
Methods in molecular biology (2022), pp. 125-134
Closed Access | Times Cited: 3
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