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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:

i4mC-ROSE, a bioinformatics tool for the identification of DNA N4-methylcytosine sites in the Rosaceae genome
Md Mehedi Hasan, Balachandran Manavalan, Mst. Shamima Khatun, et al.
International Journal of Biological Macromolecules (2019) Vol. 157, pp. 752-758
Closed Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations
Mst. Shamima Khatun, Md Mehedi Hasan, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2020) Vol. 34, Iss. 12, pp. 1229-1236
Closed Access | Times Cited: 36
DNC4mC-Deep: Identification and Analysis of DNA N4-Methylcytosine Sites Based on Different Encoding Schemes By Using Deep Learning
Abdul Wahab, Omid Mahmoudi, Jeehong Kim, et al.
Cells (2020) Vol. 9, Iss. 8, pp. 1756-1756
Open Access | Times Cited: 34
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: 29
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via L2,1/2-Matrix Norm
Yijie Ding, Wenying He, Jijun Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 20, Iss. 1, pp. 500-511
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
Recent Progress of Machine Learning in Gene Therapy
Cassandra Hunt, Sandra K. Montgomery, Joshua William Berkenpas, et al.
Current Gene Therapy (2021) Vol. 22, Iss. 2, pp. 132-143
Closed Access | Times Cited: 27
SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information
Adeel Malik, Sathiyamoorthy Subramaniyam, Chang-Bae Kim, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 20, pp. 165-174
Open Access | Times Cited: 27
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
Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction
Mst. Shamima Khatun, Watshara Shoombuatong, Md Mehedi Hasan, et al.
Current Genomics (2020) Vol. 21, Iss. 6, pp. 454-463
Open Access | Times Cited: 32
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
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
Extremely-randomized-tree-based Prediction of N6-methyladenosine Sites inSaccharomyces cerevisiae
Rajiv Gandhi Govindaraj, Sathiyamoorthy Subramaniyam, Balachandran Manavalan
Current Genomics (2020) Vol. 21, Iss. 1, pp. 26-33
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: 25
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
PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features
Andi Nur Nilamyani, Firda Nurul Auliah, Mohammad Ali Moni, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 5, pp. 2704-2704
Open Access | Times Cited: 18
Recent Development of Bioinformatics Tools for microRNA Target Prediction
Mst. Shamima Khatun, Md. Ashad Alam, Watshara Shoombuatong, et al.
Current Medicinal Chemistry (2021) Vol. 29, Iss. 5, pp. 865-880
Closed Access | Times Cited: 18
ApoPred: Identification of Apolipoproteins and Their Subfamilies With Multifarious Features
Ting Liu, Jiamao Chen, Dan Zhang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 8
Open Access | Times Cited: 17
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
iDNA-MT: Identification DNA Modification Sites in Multiple Species by Using Multi-Task Learning Based a Neural Network Tool
Xiao Yang, Xiucai Ye, Xuehong Li, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 15
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches
Trinh‐Trung‐Duong Nguyen, The-Anh Tran, Nguyen Quoc Khanh Le, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 1, pp. 87-94
Closed Access | Times Cited: 15
Prediction of Cyclin Protein Using Two-Step Feature Selection Technique
Jianan Sun, Huayi Yang, Jing Yao, et al.
IEEE Access (2020) Vol. 8, pp. 109535-109542
Open Access | Times Cited: 15
A convolution based computational approach towards DNA N6-methyladenine site identification and motif extraction in rice genome
Chowdhury Rafeed Rahman, Ruhul Amin, Swakkhar Shatabda, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 14
DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era
Xia Yu, Jia Ren, Yani Cui, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
Mul-SNO: A Novel Prediction Tool for S-Nitrosylation Sites Based on Deep Learning Methods
Qian Zhao, Jiaqi Ma, Yu Wang, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 5, pp. 2379-2387
Closed Access | Times Cited: 12

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