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:

Activity Prediction of Small Molecule Inhibitors for Antirheumatoid Arthritis Targets Based on Artificial Intelligence
Guomeng Xing, Li Liang, Chenglong Deng, et al.
ACS Combinatorial Science (2020) Vol. 22, Iss. 12, pp. 873-886
Closed Access | Times Cited: 22

Showing 22 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 919
Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
Manish Tripathi, Abhigyan Nath, T.P. Singh, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1439-1460
Open Access | Times Cited: 97
Treatment of autoimmunity: The impact of disease-modifying therapies in multiple sclerosis and comorbid autoimmune disorders
Franz Felix Konen, Nora Möhn, Torsten Witte, et al.
Autoimmunity Reviews (2023) Vol. 22, Iss. 5, pp. 103312-103312
Open Access | Times Cited: 34
Metabolomics- and systems-biology-guided discovery of metabolite lead compounds and druggable targets
Amelia Palermo
Drug Discovery Today (2022) Vol. 28, Iss. 2, pp. 103460-103460
Open Access | Times Cited: 26
Machine Learning and Deep Learning in Data-Driven Decision Making of Drug Discovery and Challenges in High-Quality Data Acquisition in the Pharmaceutical Industry
Sethu Arun Kumar, T. Durai Ananda Kumar, Narasimha M. Beeraka, et al.
Future Medicinal Chemistry (2021) Vol. 14, Iss. 4, pp. 245-270
Closed Access | Times Cited: 32
Synergy between cyclooxygenase-2 inhibitors and hyaluronic acid in the treatment of osteoarthritis: Illumination of signaling cascade, nanotechnology-driven delivery strategies and future prospects
Samiksha Thote, Priyanka Gorella, Shristi Arya, et al.
Journal of Drug Delivery Science and Technology (2024) Vol. 92, pp. 105380-105380
Closed Access | Times Cited: 4
Research Progress and Challenges of Molecular Recognition Techniques in the Screening of Active Ingredients in Traditional Chinese Medicine
Lin Li, Qi Li, Yanxiao Li, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101243-101243
Open Access
Artificial intelligence in rheumatoid arthritis
Yiduo Sun, Jin Lin, Weiqian Chen
Rheumatology & autoimmunity (2025)
Open Access
Disease-modifying strategies: Targeting protein kinases in multiple sclerosis and other autoimmune disorders
Franz Felix Konen, Nora Möhn, Torsten Witte, et al.
Autoimmunity Reviews (2025) Vol. 24, Iss. 4, pp. 103754-103754
Closed Access
Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives
Yanli Yang, Yang Liu, Yu Chen, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 3
Developing a Semi-Supervised Approach Using a PU-Learning-Based Data Augmentation Strategy for Multitarget Drug Discovery
Yang Hao, Bo Li, Daiyun Huang, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 15, pp. 8239-8239
Open Access | Times Cited: 2
Unleashing the Future: The Revolutionary Role of Machine Learning and Artificial Intelligence in Drug Discovery
Manoj Kumar Yadav, Vandana Dahiya, Manish Tripathi, et al.
European Journal of Pharmacology (2024) Vol. 985, pp. 177103-177103
Closed Access | Times Cited: 2
Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents
Amal Alqahtani
Evidence-based Complementary and Alternative Medicine (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 10
Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: predictive ability and interpretability
Guo Li, Jiaxuan Li, Yujia Tian, et al.
Molecular Diversity (2023) Vol. 28, Iss. 4, pp. 2429-2447
Open Access | Times Cited: 6
Multi-target-based polypharmacology prediction (mTPP): An approach using virtual screening and machine learning for multi-target drug discovery
Kaiyang Liu, Xi Chen, Yue Ren, et al.
Chemico-Biological Interactions (2022) Vol. 368, pp. 110239-110239
Closed Access | Times Cited: 9
Machine Learning Enabled Structure-Based Drug Repurposing Approach to Identify Potential CYP1B1 Inhibitors
Baddipadige Raju, Gera Narendra, Himanshu Verma, et al.
ACS Omega (2022) Vol. 7, Iss. 36, pp. 31999-32013
Open Access | Times Cited: 7
Predicting rheumatoid arthritis from the biomarkers of clinical trials using improved harmony search optimization with adaptive neuro-fuzzy inference system
Shanmugam Sundaramurthy, Vijayan Sugumaran, Arunkumar Thangavelu, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 1, pp. 125-137
Closed Access | Times Cited: 7
Machine-Learning Approach to Identify Potential Dengue Virus Protease Inhibitors: A Computational Perspective
Jameel M. Abduljalil, Abdo A. Elfiky
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 45, pp. 11229-11242
Closed Access | Times Cited: 1
Integrated Learning Activity Prediction Model of BHO-AdaBoosting Anti-Breast Cancer ERα Inhibitor Based on Improved Random Forest
Yanxuan Du, Zhengjie Xu, Jia-Xin Huang, et al.
(2023)
Open Access | Times Cited: 1
Predictive Analysis of Treasury Bond Risk Based on Combinatorial Intelligence Algorithm
Lian Siran, Zhao Jianya
(2024), pp. 976-981
Closed Access
Machine Learning-Based Classification Models for Non-Covalent Bruton's Tyrosine Kinase Inhibitors: Predictive Ability and Interpretability
Guo Li, Jiaxuan Li, Yujia Tian, et al.
Research Square (Research Square) (2023)
Open Access
Application of computers in artificial intelligence in the context of big data
Manman Sun, Suli Cui, Bin Qiu
Applied Mathematics and Nonlinear Sciences (2023) Vol. 9, Iss. 1
Open Access
Page 1

Scroll to top