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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:

i6mA-Fuse: improved and robust prediction of DNA 6 mA sites in the Rosaceae genome by fusing multiple feature representation
Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Plant Molecular Biology (2020) Vol. 103, Iss. 1-2, pp. 225-234
Closed Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Bioinformatics (2021) Vol. 37, Iss. 17, pp. 2556-2562
Closed Access | Times Cited: 136
Anticancer peptides prediction with deep representation learning features
Zhibin Lv, Feifei Cui, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 113
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 109
iUmami-SCM: A Novel Sequence-Based Predictor for Prediction and Analysis of Umami Peptides Using a Scoring Card Method with Propensity Scores of Dipeptides
Phasit Charoenkwan, Janchai Yana, Chanin Nantasenamat, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 12, pp. 6666-6678
Closed Access | Times Cited: 118
Meta-i6mA: an interspecies predictor for identifying DNAN6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework
Md Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 112
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework
Leyi Wei, Wenjia He, Adeel Malik, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 110
iBitter-SCM: Identification and characterization of bitter peptides using a scoring card method with propensity scores of dipeptides
Phasit Charoenkwan, Janchai Yana, Nalini Schaduangrat, et al.
Genomics (2020) Vol. 112, Iss. 4, pp. 2813-2822
Closed Access | Times Cited: 102
iDPPIV-SCM: A Sequence-Based Predictor for Identifying and Analyzing Dipeptidyl Peptidase IV (DPP-IV) Inhibitory Peptides Using a Scoring Card Method
Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, et al.
Journal of Proteome Research (2020) Vol. 19, Iss. 10, pp. 4125-4136
Closed Access | Times Cited: 81
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Closed Access | Times Cited: 76
Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy
Md Mehedi Hasan, Sho Tsukiyama, Jae Youl Cho, et al.
Molecular Therapy (2022) Vol. 30, Iss. 8, pp. 2856-2867
Open Access | Times Cited: 65
BERT6mA: prediction of DNA N6-methyladenine site using deep learning-based approaches
Sho Tsukiyama, Md Mehedi Hasan, Hong‐Wen Deng, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 39
i4mC-Mouse: Improved identification of DNA N4-methylcytosine sites in the mouse genome using multiple encoding schemes
Md Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 906-912
Open Access | Times Cited: 65
A hybrid Grey Wolf Optimization and Particle Swarm Optimization with C4.5 approach for prediction of Rheumatoid Arthritis
Shanmugam Sundaramurthy, Preethi Jayavel
Applied Soft Computing (2020) Vol. 94, pp. 106500-106500
Closed Access | Times Cited: 57
iTTCA-Hybrid: Improved and robust identification of tumor T cell antigens by utilizing hybrid feature representation
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Analytical Biochemistry (2020) Vol. 599, pp. 113747-113747
Closed Access | Times Cited: 52
Deep6mA: A deep learning framework for exploring similar patterns in DNA N6-methyladenine sites across different species
Zutan Li, Hangjin Jiang, Lingpeng Kong, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 2, pp. e1008767-e1008767
Open Access | Times Cited: 45
Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species
Xingyu Tang, Peijie Zheng, Xueyong Li, et al.
Methods (2022) Vol. 204, pp. 142-150
Closed Access | Times Cited: 29
Identifying Antioxidant Proteins by Using Amino Acid Composition and Protein-Protein Interactions
Yixiao Zhai, Yu Chen, Zhixia Teng, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 49
im6A-TS-CNN: Identifying the N6-Methyladenine Site in Multiple Tissues by Using the Convolutional Neural Network
Kewei Liu, Lei Cao, Pu-Feng Du, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 21, pp. 1044-1049
Open Access | Times Cited: 47
Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools
Balachandran Manavalan, Md Mehedi Hasan, Shaherin Basith, et al.
Molecular Therapy — Nucleic Acids (2020) Vol. 22, pp. 406-420
Open Access | Times Cited: 44
N6-methyladenine identification using deep learning and discriminative feature integration
Salman Khan, Islam Uddin, Sumaiya Noor, et al.
BMC Medical Genomics (2025) Vol. 18, Iss. 1
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
iAMY-SCM: Improved prediction and analysis of amyloid proteins using a scoring card method with propensity scores of dipeptides
Phasit Charoenkwan, Sakawrat Kanthawong, Chanin Nantasenamat, et al.
Genomics (2020) Vol. 113, Iss. 1, pp. 689-698
Open Access | Times Cited: 38
Critical evaluation of web-based DNA N6-methyladenine site prediction tools
Md Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata, et al.
Briefings in Functional Genomics (2020) Vol. 20, Iss. 4, pp. 258-272
Closed Access | Times Cited: 37
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
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
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