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:

COVID-19 Multi-Targeted Drug Repurposing Using Few-Shot Learning
Yang Liu, You Wu, Xiaoke Shen, et al.
Frontiers in Bioinformatics (2021) Vol. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Faheem Ahmed, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, et al.
Biomedicine & Pharmacotherapy (2022) Vol. 153, pp. 113350-113350
Open Access | Times Cited: 61
Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence
Suvendu Nandi, Soumyadeep Bhaduri, Debraj Das, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 4, pp. 1563-1590
Closed Access | Times Cited: 7
Reinforcement learning for systems pharmacology-oriented and personalized drug design
Ryan K. Tan, Yang Liu, Lei Xie
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 8, pp. 849-863
Open Access | Times Cited: 25
End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins
Tian Cai, Li Xie, Shuo Zhang, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010851-e1010851
Open Access | Times Cited: 14
Hierarchical multi-omics data integration and modeling predict cell-specific chemical proteomics and drug responses
You Wu, Qiao Liu, Lei Xie
Cell Reports Methods (2023) Vol. 3, Iss. 4, pp. 100452-100452
Open Access | Times Cited: 11
A Few-Shot Learning Approach for Covid-19 Diagnosis Using Quasi-Configured Topological Spaces
Hui Liu, Chunjie Wang, Xin Jiang, et al.
Journal of Artificial Intelligence and Soft Computing Research (2023) Vol. 14, Iss. 1, pp. 77-95
Open Access | Times Cited: 10
Semi-supervised meta-learning elucidates understudied molecular interactions
You Wu, Li Xie, Yang Liu, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 3
DeepREAL: a deep learning powered multi-scale modeling framework for predicting out-of-distribution ligand-induced GPCR activity
Tian Cai, Kyra Alyssa Abbu, Yang Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 9, pp. 2561-2570
Open Access | Times Cited: 11
Exploring new horizons: Empowering computer-assisted drug design with few-shot learning
Sabrina Silva Mendonça, Arthur Ricardo Sousa Vitória, Telma Woerle de Lima, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 4, pp. 100086-100086
Open Access | Times Cited: 6
Hybrid Approach to Identifying Druglikeness Leading Compounds against COVID-19 3CL Protease
Imra Aqeel, Muhammad Bilal, Abdul Majid, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 11, pp. 1333-1333
Open Access | Times Cited: 9
Deep Learning Algorithms Achieved Satisfactory Predictions When Trained on a Novel Collection of Anticoronavirus Molecules
Emna Harigua‐Souiai, Mohamed Mahmoud Heinhane, Yosser Zina Abdelkrim, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 12
CoGT: Ensemble Machine Learning Method and Its Application on JAK Inhibitor Discovery
Yingzi Bu, Ruoxi Gao, Bohan Zhang, et al.
ACS Omega (2023) Vol. 8, Iss. 14, pp. 13232-13242
Open Access | Times Cited: 4
Advancing Drug Discovery with Deep Learning: Harnessing Reinforcement Learning and One-Shot Learning for Molecular Design in Low-Data Situations
Liang Dong, Yuchen Qian, Paulina Gonzalez, et al.
ACM SIGAPP Applied Computing Review (2023) Vol. 23, Iss. 1, pp. 36-48
Closed Access | Times Cited: 4
A turning point few-shot learning for COVID-19 diagnosis
Laran Qain, Yassine Bouteraa, Thavavel Vaiyapuri, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108337-108337
Closed Access | Times Cited: 1
Exploration of chemical space with partial labeled noisy student self-training and self-supervised graph embedding
Yang Liu, Hansaim Lim, Lei Xie
BMC Bioinformatics (2022) Vol. 23, Iss. S3
Open Access | Times Cited: 7
Optimal COVID-19 therapeutic candidate discovery using the CANDO platform
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 6
A gastrointestinal locally activating Janus kinase inhibitor to treat ulcerative colitis
Yingzi Bu, Mohamed Dit Mady Traore, Luchen Zhang, et al.
Journal of Biological Chemistry (2023) Vol. 299, Iss. 12, pp. 105467-105467
Open Access | Times Cited: 3
Audiovisual Multimodal Cough Data Analysis for Tuberculosis Detection
Jyoti Yadav, Aparna S. Varde, Hao Liu, et al.
(2024), pp. 1-8
Closed Access
An amalgamation of bioinformatics and artificial intelligence for COVID-19 management: From discovery to clinic
Jiao Wang, Vivek P. Chavda, Riddhi Prajapati, et al.
Current Research in Biotechnology (2023) Vol. 6, pp. 100159-100159
Open Access | Times Cited: 1
Comprehensive cough data analysis on CODA TB
Jyoti Yadav, Aparna S. Varde, Lei Xie
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 6311-6313
Closed Access | Times Cited: 1
An In-depth Summary of Recent Artificial Intelligence Applications in Drug Design
Yi Zhang
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1
Model Agnostic Semi-Supervised Meta-Learning Elucidates Understudied Out-of-distribution Molecular Interactions
You Wu, Li Xie, Yang Liu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Optimal COVID-19 Therapeutic Candidate Discovery Using the CANDO Platform
William Mangione, Zackary Falls, Ram Samudrala
(2022)
Open Access
Binding Site-enhanced Sequence Pretraining and Out-of-cluster Meta-learning Predict Genome-Wide Chemical-Protein Interactions for Dark Proteins
Tian Cai, Li Xie, Shuo Zhang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Graph Representation Learning for Covid-19 Drug Repurposing
Aicha Boutorh, Kaouter Marref, Naamat Ellah Dehiri
Lecture notes in networks and systems (2022), pp. 61-72
Closed Access
Page 1 - Next Page

Scroll to top