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:
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength
Hanyu Luo, Libin Chen, Wenyu Shan, et al.
Lecture notes in computer science (2022), pp. 153-165
Closed Access | Times Cited: 13
Hanyu Luo, Libin Chen, Wenyu Shan, et al.
Lecture notes in computer science (2022), pp. 153-165
Closed Access | Times Cited: 13
Showing 13 citing articles:
ADH-Enhancer: an attention-based deep hybrid framework for enhancer identification and strength prediction
Faiza Mehmood, Shazia Arshad, Muhammad Shoaib
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
Faiza Mehmood, Shazia Arshad, Muhammad Shoaib
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 9
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 8
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 8
Foundation models in bioinformatics
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1
Fei Guo, Renchu Guan, Yaohang Li, et al.
National Science Review (2025)
Open Access | Times Cited: 1
Large language model applications in nucleic acid research
Lei Li, Zhao Cheng
(2025) Vol. 2, Iss. 1
Closed Access
Lei Li, Zhao Cheng
(2025) Vol. 2, Iss. 1
Closed Access
Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine
Sakhaa B. Alsaedi, Xin Gao, Takashi Gojobori
FEBS Open Bio (2025)
Open Access
Sakhaa B. Alsaedi, Xin Gao, Takashi Gojobori
FEBS Open Bio (2025)
Open Access
Utilizing a deep learning model based on BERT for identifying enhancers and their strength
Tong Wang, Mengqi Gao
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320085-e0320085
Open Access
Tong Wang, Mengqi Gao
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320085-e0320085
Open Access
Artificial intelligence-driven plant bio-genomics research: a new era
Yang Lin, Hao Wang, Meiling Zou, et al.
Tropical Plants (2025) Vol. 4, Iss. 1
Closed Access
Yang Lin, Hao Wang, Meiling Zou, et al.
Tropical Plants (2025) Vol. 4, Iss. 1
Closed Access
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information
Hanyu Luo, Ye Li, Liu Huan, et al.
Computational Biology and Chemistry (2023) Vol. 105, pp. 107905-107905
Closed Access | Times Cited: 10
Hanyu Luo, Ye Li, Liu Huan, et al.
Computational Biology and Chemistry (2023) Vol. 105, pp. 107905-107905
Closed Access | Times Cited: 10
CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network
Lantian Yao, Peilin Xie, Jiahui Guan, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5725-5736
Open Access | Times Cited: 3
Lantian Yao, Peilin Xie, Jiahui Guan, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5725-5736
Open Access | Times Cited: 3
Multiple sequence-alignment-based RNA language model and its application to structural inference
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Yikun Zhang, Mei Lang, Jiuhong Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
Counting of alpha particle tracks on imaging plate based on a convolutional neural network
Fengdi Qin, Hanyu Luo, Zhengzhong He, et al.
Nuclear Science and Techniques (2023) Vol. 34, Iss. 3
Closed Access | Times Cited: 6
Fengdi Qin, Hanyu Luo, Zhengzhong He, et al.
Nuclear Science and Techniques (2023) Vol. 34, Iss. 3
Closed Access | Times Cited: 6
A comprehensive revisit of the machine‐learning tools developed for the identification of enhancers in the human genome
Le Thi Phan, Changmin Oh, Tao He, et al.
PROTEOMICS (2023) Vol. 23, Iss. 13-14
Closed Access | Times Cited: 5
Le Thi Phan, Changmin Oh, Tao He, et al.
PROTEOMICS (2023) Vol. 23, Iss. 13-14
Closed Access | Times Cited: 5
A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding
Wenxing Hu, Yelin Li, Wu Yan, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 110030-110030
Open Access
Wenxing Hu, Yelin Li, Wu Yan, et al.
iScience (2024) Vol. 27, Iss. 6, pp. 110030-110030
Open Access
DeepEnhancerPPO: An Interpretable Deep Learning Approach for Enhancer Classification
Xuechen Mu, Qiufen Chen, Bocheng Shi, et al.
Research Square (Research Square) (2024)
Closed Access
Xuechen Mu, Qiufen Chen, Bocheng Shi, et al.
Research Square (Research Square) (2024)
Closed Access
DeepEnhancerPPO: An Interpretable Deep Learning Approach for Enhancer Classification
Xuechen Mu, Zhenyu Huang, Qiufen Chen, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12942-12942
Open Access
Xuechen Mu, Zhenyu Huang, Qiufen Chen, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 12942-12942
Open Access
