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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:

4mCpred-EL: An Ensemble Learning Framework for Identification of DNA N4-Methylcytosine Sites in the Mouse Genome
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Cells (2019) Vol. 8, Iss. 11, pp. 1332-1332
Open Access | Times Cited: 91

Showing 26-50 of 91 citing articles:

NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods
Mingming Jiang, Bowen Zhao, Shenggan Luo, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 35
DHUpredET: A Comparative Computational Approach for Identification of Dihydrouridine Modification Sites in RNA Sequence
Md. Fahim Sultan, Tasmin Karim, Md. Shazzad Hossain Shaon, et al.
Analytical Biochemistry (2025), pp. 115828-115828
Open Access
i6mA-stack: A stacking ensemble-based computational prediction of DNA N6-methyladenine (6mA) sites in the Rosaceae genome
Jhabindra Khanal, Dae Young Lim, Hilal Tayara, et al.
Genomics (2020) Vol. 113, Iss. 1, pp. 582-592
Open Access | Times Cited: 38
DNA4mC-LIP: a linear integration method to identify N4-methylcytosine site in multiple species
Qiang Tang, Juanjuan Kang, Jiaqing Yuan, et al.
Bioinformatics (2020) Vol. 36, Iss. 11, pp. 3327-3335
Open Access | Times Cited: 37
Identifying DNA N4-methylcytosine sites in the rosaceae genome with a deep learning model relying on distributed feature representation
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 1612-1619
Open Access | Times Cited: 28
4mCPred-CNN—Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network
Zeeshan Abbas, Hilal Tayara, Kil To Chong
Genes (2021) Vol. 12, Iss. 2, pp. 296-296
Open Access | Times Cited: 27
Mouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genome
Junru Jin, Yingying Yu, Leyi Wei
Methods (2022) Vol. 204, pp. 258-262
Closed Access | Times Cited: 20
Sequence-Based Intelligent Model for Identification of Tumor T Cell Antigens Using Fusion Features
N. Bibi, Mukhtaj Khan, Salman Khan, et al.
IEEE Access (2024) Vol. 12, pp. 155040-155051
Open Access | Times Cited: 4
In Silico Approaches for the Prediction and Analysis of Antiviral Peptides: A Review
Phasit Charoenkwan, Nuttapat Anuwongcharoen, Chanin Nantasenamat, et al.
Current Pharmaceutical Design (2020) Vol. 27, Iss. 18, pp. 2180-2188
Closed Access | Times Cited: 30
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, et al.
Briefings in Bioinformatics (2020)
Open Access | Times Cited: 30
Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information
Menglu Liu, Wei Su, Jia-Shu Wang, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 1043-1050
Open Access | Times Cited: 28
iMethyl-Deep: N6 Methyladenosine Identification of Yeast Genome with Automatic Feature Extraction Technique by Using Deep Learning Algorithm
Omid Mahmoudi, Abdul Wahab, Kil To Chong
Genes (2020) Vol. 11, Iss. 5, pp. 529-529
Open Access | Times Cited: 27
Prediction of N7-methylguanosine sites in human RNA based on optimal sequence features
Yuhe R. Yang, Chi Ma, Jia-Shu Wang, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4342-4347
Open Access | Times Cited: 27
DNN-m6A: A Cross-Species Method for Identifying RNA N6-methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion
Lu Zhang, Xinyi Qin, Min Liu, et al.
Genes (2021) Vol. 12, Iss. 3, pp. 354-354
Open Access | Times Cited: 23
An ensemble of stacking classifiers for improved prediction of miRNA–mRNA interactions
Priyash Dhakal, Hilal Tayara, Kil To Chong
Computers in Biology and Medicine (2023) Vol. 164, pp. 107242-107242
Closed Access | Times Cited: 10
MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features
Linshu Wang, Yuan Zhou
RNA Biology (2024) Vol. 21, Iss. 1, pp. 1-10
Open Access | Times Cited: 3
Developing a Multi-Layer Deep Learning Based Predictive Model to Identify DNA N4-Methylcytosine Modifications
Rao Zeng, Minghong Liao
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 25
Accurate prediction of DNA N4-methylcytosine sites via boost-learning various types of sequence features
Zhixun Zhao, Xiaocai Zhang, Fang Chen, et al.
BMC Genomics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 24
BERT-m7G: A Transformer Architecture Based on BERT and Stacking Ensemble to Identify RNA N7-Methylguanosine Sites from Sequence Information
Lu Zhang, Xinyi Qin, Min Liu, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 22
Research Progress in Predicting DNA Methylation Modifications and the Relation with Human Diseases
Chunyan Ao, Lin Gao, Liang Yu
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 822-836
Closed Access | Times Cited: 22
Improving language model of human genome for DNA–protein binding prediction based on task-specific pre-training
Hanyu Luo, Wenyu Shan, Cheng Chen, et al.
Interdisciplinary Sciences Computational Life Sciences (2022)
Closed Access | Times Cited: 15
MultiScale-CNN-4mCPred: a multi-scale CNN and adaptive embedding-based method for mouse genome DNA N4-methylcytosine prediction
Peijie Zheng, Guiyang Zhang, Yuewu Liu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation
Shouzhi Chen, Yanhong Liao, Jianping Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3106-3116
Closed Access | Times Cited: 7
i4mC-GRU: Identifying DNA N4-Methylcytosine sites in mouse genomes using bidirectional gated recurrent unit and sequence-embedded features
Thanh‐Hoang Nguyen‐Vo, Quang H. Trinh, Loc Nguyen, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 3045-3053
Open Access | Times Cited: 7
A novel hybrid model to predict concomitant diseases for Hashimoto’s thyroiditis
Pınar Karadayı Ataş
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 7

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