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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:

AI-based language models powering drug discovery and development
Zhichao Liu, Ruth Roberts, Madhu Lal‐Nag, et al.
Drug Discovery Today (2021) Vol. 26, Iss. 11, pp. 2593-2607
Open Access | Times Cited: 106

Showing 26-50 of 106 citing articles:

Annotated corpus for traditional formula-disease relationships in biomedical articles
Sang-Jun Yea, Ho Seong Jang, So Young Kim, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access
Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
Qian Liao, Yu Zhang, Ying Chu, et al.
npj Biomedical Innovations. (2025) Vol. 2, Iss. 1
Open Access
Yunvjian decoction attenuates lipopolysaccharide-induced acute lung injury by inhibiting NF-κB/NLRP3 pathway and pyroptosis
Fanxuan Zhang, Fang Wang, Lisha Zhao, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
Mapping knowledge landscapes and emerging trends in artificial intelligence for antimicrobial resistance: bibliometric and visualization analysis
Zhongli Wang, Gaopei Zhu, Shixue Li
Frontiers in Medicine (2025) Vol. 12
Open Access
Positional embeddings and zero-shot learning using BERT for molecular-property prediction
Medard Edmund Mswahili, JunHa Hwang, Jagath C. Rajapakse, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
A Novel Paradigm on Data and Knowledge-Driven Drug Formulation Development: Opportunities and Challenges of Machine Learning
Xinrui Wang, Zhenda Liu, Lin Xiao, et al.
Journal of Industrial Information Integration (2025), pp. 100796-100796
Closed 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
Serendipity and inherent non-linear thinking can help address the climate and environmental conundrums
Quan‐Hoang Vuong, Viet‐Phuong La, Minh‐Hoang Nguyen
Sustainability Science Practice and Policy (2025) Vol. 21, Iss. 1
Open Access
Large Language Models and Their Applications in Drug Discovery and Development: A Primer
James Lu, Keunwoo Choi, Maksim Eremeev, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 4
Open Access
PLM-ARG: antibiotic resistance gene identification using a pretrained protein language model
Jun Wu, Jian Ouyang, Haipeng Qin, et al.
Bioinformatics (2023) Vol. 39, Iss. 11
Open Access | Times Cited: 10
BatGPT-Chem: A Foundation Large Model For Chemical Engineering
Yifei Yang, Runhan Shi, Zuchao Li, et al.
(2024)
Open Access | Times Cited: 3
BiSpec Pairwise AI: guiding the selection of bispecific antibody target combinations with pairwise learning and GPT augmentation
Xin Zhang, Huiyu Wang, Chunyun Sun
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 5
Open Access | Times Cited: 3
Molecular structures, DFT calculations, in silico molecular docking, predicted pharmacokinetics and biological activities of N-(quinolin-8-yl)-2- pyridine/pyrazine carboxamide compounds
Robert T. Kumah, Reinner O. Omondi, Gregory S. Smith, et al.
Journal of Molecular Structure (2024) Vol. 1319, pp. 139425-139425
Closed Access | Times Cited: 3
PretoxTM: a text mining system for extracting treatment-related findings from preclinical toxicology reports
Javier Corvi, Nicolás Díaz-Roussel, José M. Fernández, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Integrating chemical artificial intelligence and cognitive computing for predictive analysis of biological pathways: a case for intrinsically disordered proteins
Orkid Coskuner‐Weber, Pier Luigi Gentili, Vladimir N. Uversky
Biophysical Reviews (2025)
Closed Access
A clinician-based comparative study of large language models in answering medical questions: the case of asthma
Yong Yin, Mei Zeng, Wang Hansong, et al.
Frontiers in Pediatrics (2025) Vol. 13
Open Access
Artificial Intelligence in Software Testing
Subash Banala, Sudheer Panyaram, P. Selvakumar
Advances in computational intelligence and robotics book series (2025), pp. 237-262
Closed Access
Machine learning applications to Covid-19: a state-of-the-art survey
Firuz Kamalov, Aswani Kumar Cherukuri, Fadi Thabtah
2022 Advances in Science and Engineering Technology International Conferences (ASET) (2022), pp. 1-6
Open Access | Times Cited: 15
ChatGPT in glioma patient adjuvant therapy decision making: ready to assume the role of a doctor in the tumour board?
Julien Haemmerli, Lukas Sveikata, Aria Nouri, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9
Learning the Language of NMR: Structure Elucidation from NMR spectra using Transformer Models
Marvin Alberts, Federico Zipoli, Alain C. Vaucher
(2023)
Open Access | Times Cited: 9
Outlook: How I Learned to Love Machine Learning (A Personal Perspective on Machine Learning in Process Systems Engineering)
Ví­ctor M. Zavala
Industrial & Engineering Chemistry Research (2023) Vol. 62, Iss. 23, pp. 8995-9005
Open Access | Times Cited: 8
AI-powered drug repurposing for developing COVID-19 treatments
Zhichao Liu, Xi Chen, Wendy Carter, et al.
Elsevier eBooks (2022), pp. 144-154
Closed Access | Times Cited: 13
A Review on Artificial Intelligence Approaches and Rational Approaches in Drug Discovery
Anjana Vidya Srivathsa, Nandini Markuli Sadashivappa, Apeksha Krishnamurthy Hegde, et al.
Current Pharmaceutical Design (2023) Vol. 29, Iss. 15, pp. 1180-1192
Closed Access | Times Cited: 7
Opportunities for the use of large language models in hepatology
Himesh B. Zaver, Tushar Patel
Clinical Liver Disease (2023) Vol. 22, Iss. 5, pp. 171-176
Open Access | Times Cited: 7
AI and The Future of Medicine: Pioneering Drug Discovery with Language Models
Satish Kathiriya Siddhartha Nuthakki
International Journal of Science and Research (IJSR) (2023) Vol. 12, Iss. 3, pp. 1824-1829
Open Access | Times Cited: 7

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