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.

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Showing 1-25 of 49 citing articles:

Attention-Based Graph Neural Network for Molecular Solubility Prediction
Waqar Ahmad, Hilal Tayara, Kil To Chong
ACS Omega (2023) Vol. 8, Iss. 3, pp. 3236-3244
Open Access | Times Cited: 31

Unveiling dominant recombination loss in perovskite solar cells with a XGBoost-based machine learning approach
Basir Akbar, Hilal Tayara, Kil To Chong
iScience (2024) Vol. 27, Iss. 3, pp. 109200-109200
Open Access | Times Cited: 11

ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning
Nhat Truong Pham, Annie Terrina Terrance, Young-Jun Jeon, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 2, pp. 102192-102192
Open Access | Times Cited: 11

Recent advances in the potential role of RNA N4-acetylcytidine in cancer progression
Shujun Zhang, Yafeng Liu, Xiao Ma, et al.
Cell Communication and Signaling (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 8

Caps-ac4C: an effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning
Lantian Yao, Peilin Xie, Danhong Dong, et al.
Journal of Molecular Biology (2025), pp. 168961-168961
Closed Access | Times Cited: 1

ERNIE-ac4C: A novel deep learning model for effectively predicting N4-acetylcytidine sites
Ronglin Lu, Jianbo Qiao, Kaixiang Li, et al.
Journal of Molecular Biology (2025), pp. 168978-168978
Closed Access | Times Cited: 1

iRNA-ac4C: A novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA
Wei Su, Xue-Qin Xie, Xiaowei Liu, et al.
International Journal of Biological Macromolecules (2022) Vol. 227, pp. 1174-1181
Closed Access | Times Cited: 35

Transcriptome and metabolome analyses revealing the potential mechanism of seed germination in Polygonatum cyrtonema
Rong Liu, Jing Lü, Jiayi Xing, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 36

A machine learning model for screening thermodynamic stable lead-free halide double perovskites
Gui-Qin Liang, Jian Zhang
Computational Materials Science (2022) Vol. 204, pp. 111172-111172
Closed Access | Times Cited: 26

Recognition of mRNA N4 Acetylcytidine (ac4C) by Using Non-Deep vs. Deep Learning
Muhammad Shahid Iqbal, Rashid Abbasi, Md Belal Bin Heyat, et al.
Applied Sciences (2022) Vol. 12, Iss. 3, pp. 1344-1344
Open Access | Times Cited: 22

Prediction of organic material band gaps using graph attention network
Asad Khan, Hilal Tayara, Kil To Chong
Computational Materials Science (2023) Vol. 220, pp. 112063-112063
Closed Access | Times Cited: 13

LSA-ac4C: A hybrid neural network incorporating double-layer LSTM and self-attention mechanism for the prediction of N4-acetylcytidine sites in human mRNA
Fei-Liao Lai, Feng Gao
International Journal of Biological Macromolecules (2023) Vol. 253, pp. 126837-126837
Closed Access | Times Cited: 13

Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets
Keerthana Jaganathan, Hilal Tayara, Kil To Chong
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 15, pp. 8073-8073
Open Access | Times Cited: 32

Machine learning applications in RNA modification sites prediction
Achraf El Allali, Zahra Elhamraoui, Rachid Daoud
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5510-5524
Open Access | Times Cited: 31

DeepCap-Kcr: accurate identification and investigation of protein lysine crotonylation sites based on capsule network
Jhabindra Khanal, Hilal Tayara, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 30

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data
Daiyun Huang, Bowen Song, Jingjue Wei, et al.
Bioinformatics (2021) Vol. 37, Iss. Supplement_1, pp. i222-i230
Open Access | Times Cited: 28

Staem5: A novel computational approach for accurate prediction of m5C site
Di Chai, Cangzhi Jia, Jia Zheng, et al.
Molecular Therapy — Nucleic Acids (2021) Vol. 26, pp. 1027-1034
Open Access | Times Cited: 23

DPNN-ac4C: A Dual-Path Neural Network with self-attention mechanism for identification of N4‑acetylcytidine (ac4C) in mRNA
Jiahao Yuan, Ziyi Wang, Zhuoyu Pan, et al.
Bioinformatics (2024) Vol. 40, Iss. 11
Open Access | Times Cited: 3

iProm-Zea: A two-layer model to identify plant promoters and their types using convolutional neural network
Jeehong Kim, Muhammad Shujaat, Hilal Tayara
Genomics (2022) Vol. 114, Iss. 3, pp. 110384-110384
Open Access | Times Cited: 13

Long extrachromosomal circular DNA identification by fusing sequence-derived features of physicochemical properties and nucleotide distribution patterns
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Sheraz Ahmed, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

RNA ac4C modification in cancer: Unraveling multifaceted roles and promising therapeutic horizons
Wenhao Ouyang, Zhenjun Huang, Keyu Wan, et al.
Cancer Letters (2024) Vol. 601, pp. 217159-217159
Closed Access | Times Cited: 2

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