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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 26-50 of 77 citing articles:

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
i6mA-Vote: Cross-Species Identification of DNA N6-Methyladenine Sites in Plant Genomes Based on Ensemble Learning With Voting
Zhixia Teng, Zhengnan Zhao, Yanjuan Li, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 16
Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods
Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 21, pp. 2253-2261
Open Access | Times Cited: 10
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach
Md. Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107848-107848
Closed Access | Times Cited: 10
MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models
Hiroyuki Kurata, Md. Harun-Or-Roshid, Md Mehedi Hasan, et al.
Methods (2024) Vol. 227, pp. 37-47
Closed Access | Times Cited: 3
Predicting multiple taste sensations with a multiobjective machine learning method
Lampros Androutsos, Lorenzo Pallante, Agorakis Bompotas, et al.
npj Science of Food (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 3
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
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
Toward a general and interpretable umami taste predictor using a multi-objective machine learning approach
Lorenzo Pallante, Aigli Korfiati, Lampros Androutsos, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 14
ZayyuNet – A Unified Deep Learning Model for the Identification of Epigenetic Modifications Using Raw Genomic Sequences
Zeeshan Abbas, Hilal Tayara, Kil To Chong
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 2533-2544
Closed Access | Times Cited: 19
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
Epigenetic modification for horticultural plant improvement comes of age
Sadaruddin Chachar, Muzafaruddin Chachar, Adeel Riaz, et al.
Scientia Horticulturae (2021) Vol. 292, pp. 110633-110633
Closed Access | Times Cited: 18
SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes
Zhaoting Yin, Jianyi Lyu, Guiyang Zhang, et al.
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 3, pp. 3798-3815
Open Access | Times Cited: 2
I-DNAN6mA: Accurate Identification of DNA N6-Methyladenine Sites Using the Base-Pairing Map and Deep Learning
Xueqiang Fan, Bing Lin, Jun Hu, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 1076-1086
Closed Access | Times Cited: 6
Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana
Daishin Ueno, Harunori Kawabe, Shotaro Yamasaki, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open 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
Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning
Zhengtao Luo, Liliang Lou, Wang‐Ren Qiu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 24, pp. 15490-15490
Open Access | Times Cited: 8
SNN6mA: Improved DNA N6-methyladenine site prediction using Siamese network-based feature embedding
Xuan Yu, Jun Hu, Ying Zhang
Computers in Biology and Medicine (2023) Vol. 166, pp. 107533-107533
Closed Access | Times Cited: 4
Recent Development of Machine Learning Methods in Microbial Phosphorylation Sites
Md Mamunur Rashid, Swakkhar Shatabda, Md Mehedi Hasan, et al.
Current Genomics (2020) Vol. 21, Iss. 3, pp. 194-203
Open Access | Times Cited: 10

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