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:
Analysis of super-enhancer using machine learning and its application to medical biology
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 7
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 7
Showing 7 citing articles:
Sequence-Only Prediction of Super-Enhancers in Human Cell Lines Using Transformer Models
Ekaterina V. Kravchuk, German A. Ashniev, Marina G. Gladkova, et al.
Biology (2025) Vol. 14, Iss. 2, pp. 172-172
Open Access
Ekaterina V. Kravchuk, German A. Ashniev, Marina G. Gladkova, et al.
Biology (2025) Vol. 14, Iss. 2, pp. 172-172
Open Access
Effects of super-enhancers in cancer metastasis: mechanisms and therapeutic targets
Shenglan Liu, Wei Dai, Bei Jin, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Shenglan Liu, Wei Dai, Bei Jin, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Mechanism of ERBB2 gene overexpression by the formation of super-enhancer with genomic structural abnormalities in lung adenocarcinoma without clinically actionable genetic alterations
Syuzo Kaneko, Ken Takasawa, Ken Asada, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Syuzo Kaneko, Ken Takasawa, Ken Asada, et al.
Molecular Cancer (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 3
AI-Assisted Rational Design and Activity Prediction of Biological Elements for Optimizing Transcription-Factor-Based Biosensors
Nana Ding, Zenan Yuan, Zheng Ma, et al.
Molecules (2024) Vol. 29, Iss. 15, pp. 3512-3512
Open Access | Times Cited: 3
Nana Ding, Zenan Yuan, Zheng Ma, et al.
Molecules (2024) Vol. 29, Iss. 15, pp. 3512-3512
Open Access | Times Cited: 3
Analysis of Emerging Variants of Turkey Reovirus using Machine Learning
Maryam KafiKang, Chamudi Abeysiriwardana, Vikash Singh, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
Maryam KafiKang, Chamudi Abeysiriwardana, Vikash Singh, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 1
An in-depth analysis and exploreation with focus on the biofilm inStaphylococcus aureus
Zhiyuan Zhang, Guozhong Chen, Yuanyuan Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Zhiyuan Zhang, Guozhong Chen, Yuanyuan Pan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Machine learning and network analysis with focus on the biofilm in Staphylococcus aureus
Zhiyuan Zhang, Guozhong Chen, Wajid Hussain, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4148-4160
Open Access
Zhiyuan Zhang, Guozhong Chen, Wajid Hussain, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 4148-4160
Open Access
