Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning
Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 6, pp. e1012229-e1012229
Open Access | Times Cited: 21

Showing 21 citing articles:

Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation
Yishu Wang, Mengyao Guo, Xiaomin Chen, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Generation of SARS-CoV-2 dual-target candidate inhibitors through 3D equivariant conditional generative neural networks
Zhong-Xing Zhou, Hong‐Xing Zhang, Qing‐Chuan Zheng
Journal of Pharmaceutical Analysis (2025), pp. 101229-101229
Open Access
Advancing drug discovery and development through GPT models: A review on challenges, innovations and future prospects
Zhinya Kawa Othman, Mohamed Mustaf Ahmed, Olalekan John Okesanya, et al.
Intelligence-Based Medicine (2025) Vol. 11, pp. 100233-100233
Open Access
DeSAO: A new approach for De Novo Drug using Simulated Annealing Optimization
Rosalvo Ferreira de Oliveira Neto, Murilo Boratto, Edilson Beserra de Alencar Filho
Expert Systems with Applications (2025), pp. 127099-127099
Closed Access
UMPPI: Unveiling Multilevel Protein–Peptide Interaction Prediction via Language Models
Shuwen Xiong, Jiajie Cai, Hua Shi, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Prediction of lncRNA-miRNA interaction based on sequence and structural information of potential binding site
Dan-Yang Qi, Chengyan Wu, Zhihong Hao, et al.
International Journal of Biological Macromolecules (2025), pp. 142255-142255
Closed Access
PBertKla: a protein large language model for predicting human lysine lactylation sites
Hongyan Lai, Dan Luo, Mi Yang, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks
Jinjin Li, Shuwen Xiong, Hua Shi, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
DGCLCMI: a deep graph collaboration learning method to predict circRNA-miRNA interactions
Chao Cao, Mengli Li, Chunyu Wang, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Identification of Eight Histone Methylation Modification Regulators Associated With Breast Cancer Prognosis
Yanguang Cao, Xiaohui Li, Xingjie Chen, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
Exploring species taxonomic kingdom using information entropy and nucleotide compositional features of coding sequences based on machine learning methods
Sebu Aboma Temesgen, Basharat Ahmad, Bakanina Kissanga Grace-Mercure, et al.
Methods (2025)
Closed Access
MlyPredCSED: based on extreme point deviation compensated clustering combined with cross-scale convolutional neural networks to predict multiple lysine sites in human
Yuhua Zuo, Xingze Fang, Jiankang Chen, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Improving protein-protein interaction modulator predictions via knowledge-fused language models
Zitong Zhang, Quan Zou, Chunyu Wang, et al.
Information Fusion (2025), pp. 103227-103227
Closed Access
The impact of generative pre-trained transformers on creative writing instruction: Enhancing student engagement and expressive competence
Ru Liu
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
Drug Discovery in the Age of Artificial Intelligence: Transformative Target-Based Approaches
Akshata Y. Patne, Sai Madhav Dhulipala, William F. Lawless, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12233-12233
Open Access | Times Cited: 3
Applications of Transformers in Computational Chemistry: Recent Progress and Prospects
Rui Wang, Yujin Ji, Youyong Li, et al.
The Journal of Physical Chemistry Letters (2024), pp. 421-434
Closed Access | Times Cited: 2
Voting-ac4C:Pre-trained large RNA language model enhances RNA N4-acetylcytidine site prediction
Yulian Jia, Zilong Zhang, Shankai Yan, et al.
International Journal of Biological Macromolecules (2024) Vol. 282, pp. 136940-136940
Closed Access | Times Cited: 1
Advanced deep learning approaches enable high-throughput biological and biomedicine data analysis
Leyi Wei
Methods (2024) Vol. 230, pp. 116-118
Closed Access
A systematic review of deep learning chemical language models in recent era
Hector Flores-Hernandez, Emmanuel Martínez-Ledesma
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access
Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features
Chaolu Meng, Yongqi Hou, Quan Zou, et al.
Genomics & Informatics (2024) Vol. 22, Iss. 1
Open Access
Empirical Comparison and Analysis of Artificial Intelligence-Based Methods for Identifying Phosphorylation Sites of SARS-CoV-2 Infection
Hongyan Lai, Tao Zhu, Sijia Xie, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 24, pp. 13674-13674
Open Access
Page 1

Scroll to top