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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:

DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences
Jiawei Li, Yuqian Pu, Jijun Tang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

The evolution, evolvability and engineering of gene regulatory DNA
Eeshit Dhaval Vaishnav, Carl G. de Boer, Jennifer Molinet, et al.
Nature (2022) Vol. 603, Iss. 7901, pp. 455-463
Open Access | Times Cited: 198
Biological Sequence Classification: A Review on Data and General Methods
Chunyan Ao, Shihu Jiao, Yansu Wang, et al.
Research (2022) Vol. 2022
Open Access | Times Cited: 73
An efficient lightweight convolutional neural network for industrial surface defect detection
Dehua Zhang, Xinyuan Hao, Dechen Wang, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10651-10677
Closed Access | Times Cited: 68
Evaluating deep learning for predicting epigenomic profiles
Shushan Toneyan, Ziqi Tang, Peter K. Koo
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1088-1100
Open Access | Times Cited: 43
Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50
NmRF: identification of multispecies RNA 2’-O-methylation modification sites from RNA sequences
Chunyan Ao, Quan Zou, Liang Yu
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 46
Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models
Tianwei Yue, Yuanxin Wang, Longxiang Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15858-15858
Open Access | Times Cited: 23
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 41
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model
Yuqian Pu, Jiawei Li, Jijun Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 5, pp. 2760-2769
Closed Access | Times Cited: 39
PHIAF: prediction of phage-host interactions with GAN-based data augmentation and sequence-based feature fusion
Menglu Li, Wen Zhang
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 37
DeepAc4C: a convolutional neural network model with hybrid features composed of physicochemical patterns and distributed representation information for identification of N4-acetylcytidine in mRNA
Chao Wang, Ying Ju, Quan Zou, et al.
Bioinformatics (2021) Vol. 38, Iss. 1, pp. 52-57
Closed Access | Times Cited: 35
Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences
Il‐Youp Kwak, Byeongchan Kim, Juhyun Lee, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
iEnhancer-RF: Identifying enhancers and their strength by enhanced feature representation using random forest
Dae Yeong Lim, Jhabindra Khanal, Hilal Tayara, et al.
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 212, pp. 104284-104284
Closed Access | Times Cited: 31
Early detection of hepatocellular carcinoma via no end-repair enzymatic methylation sequencing of cell-free DNA and pre-trained neural network
Zhenzhong Deng, Yongkun Ji, Bing Han, et al.
Genome Medicine (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 11
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
Yao Zhou, Wenjing Zhang, Peng Song, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 11
Short human eccDNAs are predictable from sequences
Kai-Li Chang, Jiahong Chen, Tzu‐Chieh Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 10
Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion
Zepeng Li, Yuni Zeng, Mingfeng Jiang, et al.
ACS Omega (2025) Vol. 10, Iss. 2, pp. 2020-2032
Open Access
Enhancer reprogramming: critical roles in cancer and promising therapeutic strategies
Jinshou Yang, Feihan Zhou, Xiyuan Luo, et al.
Cell Death Discovery (2025) Vol. 11, Iss. 1
Open Access
DRBPPred-GAT: Accurate prediction of DNA-binding proteins and RNA-binding proteins based on graph multi-head attention network
Xinyu Zhang, Yifei Wang, Qinqin Wei, et al.
Knowledge-Based Systems (2023) Vol. 285, pp. 111354-111354
Closed Access | Times Cited: 9
KK-DBP: A Multi-Feature Fusion Method for DNA-Binding Protein Identification Based on Random Forest
Yuran Jia, Shan Huang, Tianjiao Zhang
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 19
Evaluating deep learning for predicting epigenomic profiles
Shushan Toneyan, Ziqi Tang, Peter K. Koo
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 14
iPro-GAN: A novel model based on generative adversarial learning for identifying promoters and their strength
Huijuan Qiao, Shengli Zhang, Tian Xue, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106625-106625
Closed Access | Times Cited: 13
ORI-Explorer: a unified cell-specific tool for origin of replication sites prediction by feature fusion
Zeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 8
Predictive analyses of regulatory sequences with EUGENe
Adam Klie, David Laub, James V. Talwar, et al.
Nature Computational Science (2023) Vol. 3, Iss. 11, pp. 946-956
Open Access | Times Cited: 8
iAIPs: Identifying Anti-Inflammatory Peptides Using Random Forest
Dongxu Zhao, Zhixia Teng, Yanjuan Li, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 17
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