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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:

Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, N. Nagasundaram, et al.
Frontiers in Bioengineering and Biotechnology (2019) Vol. 7
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information
Nguyen Quoc Khanh Le, Quang‐Thai Ho, Trinh‐Trung‐Duong Nguyen, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 148
MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation
Run Su, Deyun Zhang, Jinhuai Liu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 121
A Deep Fusion Matching Network Semantic Reasoning Model
Wenfeng Zheng, Yu Rong Zhou, Shan Liu, et al.
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3416-3416
Open Access | Times Cited: 113
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection
Nguyen Quoc Khanh Le, Quang‐Thai Ho, Van‐Nui Nguyen, et al.
Computational Biology and Chemistry (2022) Vol. 99, pp. 107732-107732
Closed Access | Times Cited: 72
Beyond small molecules: advancing MYC-targeted cancer therapies through protein engineering
Rama Edaibis, Raneem Akel, Jumi A. Shin
Transcription (2025), pp. 1-19
Closed Access | Times Cited: 2
Transitioning from wet lab to artificial intelligence: a systematic review of AI predictors in CRISPR
Ahtisham Fazeel Abbasi, Muhammad Nabeel Asim, Andreas Dengel
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 2
Incorporating Machine Learning into Established Bioinformatics Frameworks
Noam Auslander, Ayal B. Gussow, Eugene V. Koonin
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 6, pp. 2903-2903
Open Access | Times Cited: 88
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites
Duyen Thi, Thanh Quynh Trang Le, Nguyen Quoc Khanh Le
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 84
DeepIPs: comprehensive assessment and computational identification of phosphorylation sites of SARS-CoV-2 infection using a deep learning-based approach
Hao Lv, Fanny Dao, Hasan Zulfiqar, et al.
Briefings in Bioinformatics (2021)
Open Access | Times Cited: 78
DNN-DTIs: Improved drug-target interactions prediction using XGBoost feature selection and deep neural network
Cheng Chen, Shi Han, Zhiwen Jiang, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104676-104676
Open Access | Times Cited: 76
Representation learning applications in biological sequence analysis
Hitoshi Iuchi, Taro Matsutani, Keisuke Yamada, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 3198-3208
Open Access | Times Cited: 72
An overview of artificial intelligence in the field of genomics
Khizra Maqsood, Hani Hagras, Nicolae Radu Zabet
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 11
msBERT-Promoter: a multi-scale ensemble predictor based on BERT pre-trained model for the two-stage prediction of DNA promoters and their strengths
Yazi Li, Xiaoman Wei, Qinglin Yang, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 9
Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique
Thi-Xuan Tran, Nguyen Quoc Khanh Le, Van-Nui Nguyen
Computers in Biology and Medicine (2025) Vol. 186, pp. 109664-109664
Closed Access | Times Cited: 1
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification
Nguyen Quoc Khanh Le, Duyen Thi, Truong Nguyen Khanh Hung, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 23, pp. 9070-9070
Open Access | Times Cited: 65
Genes and gene networks underlying spatial cognition in food-caching chickadees
Georgy Semenov, Benjamin R. Sonnenberg, Carrie L. Branch, et al.
Current Biology (2024) Vol. 34, Iss. 9, pp. 1930-1939.e4
Closed Access | Times Cited: 7
pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters
Muhammad Shujaat, Abdul Wahab, Hilal Tayara, et al.
Genes (2020) Vol. 11, Iss. 12, pp. 1529-1529
Open Access | Times Cited: 48
GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network
Zhixian Liu, Qingfeng Chen, Wei Lan, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 35
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 24
iPro-TCN: Prediction of DNA Promoters Recognition and Their Strength Using Temporal Convolutional Network
Ali Raza, Waleed Alam, Shahzad Khan, et al.
IEEE Access (2023) Vol. 11, pp. 66113-66121
Open Access | Times Cited: 14
A Cascade Graph Convolutional Network for Predicting Protein–Ligand Binding Affinity
Huimin Shen, Zhang You-zhi, Chun-Hou Zheng, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 8, pp. 4023-4023
Open Access | Times Cited: 31
Exploring Language Markers of Mental Health in Psychiatric Stories
Marco Spruit, Stephanie Verkleij, Kees de Schepper, et al.
Applied Sciences (2022) Vol. 12, Iss. 4, pp. 2179-2179
Open Access | Times Cited: 20
iPro2L-DG: Hybrid network based on improved densenet and global attention mechanism for identifying promoter sequences
Rufeng Lei, Jianhua Jia, Lulu Qin, et al.
Heliyon (2024) Vol. 10, Iss. 6, pp. e27364-e27364
Open Access | Times Cited: 4
Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction
Meng Zhang, Cangzhi Jia, Fuyi Li, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 26
RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning
Shujun He, Baizhen Gao, Rushant Sabnis, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 17
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