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:

Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 35796-35812
Open Access | Times Cited: 19

Showing 19 citing articles:

A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 22

Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 17

Integrating Model‐Informed Drug Development With AI: A Synergistic Approach to Accelerating Pharmaceutical Innovation
Karthik Raman, Rukmini Kumar, Cynthia J. Musante, et al.
Clinical and Translational Science (2025) Vol. 18, Iss. 1
Open Access

Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 3

An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates
Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, et al.
Sci (2024) Vol. 6, Iss. 4, pp. 81-81
Open Access | Times Cited: 2

Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities
Wahiba Oualikene-Gonin, Marie‐Christine Jaulent, Jean-Pierre Thierry, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1

Literature Review of Explainable Tabular Data Analysis
Helen O’Brien Quinn, Mohamed Sedky, Janet Francis, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3806-3806
Open Access | Times Cited: 1

Advanced AI and ML frameworks for Transforming Drug Discovery and Optimization: With Innovative insights in Polypharmacology, Drug Repurposing, Combination Therapy and Nanomedicine.
Subiya Ambreen, Mohammad Umar, Asra Noor, et al.
European Journal of Medicinal Chemistry (2024) Vol. 284, pp. 117164-117164
Closed Access | Times Cited: 1

Exploring Antibiotic Resistance Through Artificial Intelligence: A Novel Perspective
D Kalyani, Rompicharla Narasimha Sai, K Somasekhar Reddy, et al.
UTTAR PRADESH JOURNAL OF ZOOLOGY (2024) Vol. 45, Iss. 11, pp. 203-217
Open Access

Real-Time Cardiac Abnormality Monitoring and Nursing for Patient Using Electrocardiographic Signals
Huamin Ao, Enjian Zhai, Le Jiang, et al.
Cardiology (2024), pp. 1-11
Closed Access

AI-Driven drug discovery: Accelerating the development of novel therapeutics in biopharmaceuticals
Decheng Huang, Mingxuan Yang, Xin Wen, et al.
International Medical Science Research Journal (2024) Vol. 4, Iss. 8, pp. 882-899
Open Access

Explainable AI and tree-based ensemble models: a comparative study in predicting chemical pulmonary toxicity
Keerthana Jaganathan, P. Geethika, S. Ramakrishnan, et al.
The European Physical Journal Special Topics (2024)
Open Access

Optimised Hybrid-Model Selection for the Autonomous Relevance Technique Explainable Framework
Mitchell D. Woodbright, Ahsan Morshed, Matthew Browne, et al.
(2024) Vol. 131, pp. 380-385
Closed Access

Artificial Intelligence (AI) and Machine Learning (ML) Implemented Drug Delivery Systems: A paradigm shift in the Pharmaceutical industry
Goutam Kumar Jena, Chinam Niranjan Patra, Sruti Jammula, et al.
Journal of Bio-X Research (2024) Vol. 7
Open Access

Introduction to the Artificial Intelligence Balancing Problem
Tshilidzi Marwala
(2024), pp. 1-16
Closed Access

Explainable Artificial Intelligence in genetics: A case study
Abdullahi Isa, Iliyas Ibrahim Iliyas, I. M. Umar, et al.
Elsevier eBooks (2024), pp. 313-328
Closed Access

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

Designing Interpretable ML System to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade to A Proposed Robust Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharyac, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1

Robust Interpretability Approach to Enhance Trustworthy AI in Healthcare: A Systematic Review of the Last Decade Toward Proposed Framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Research Square (Research Square) (2023)
Open Access

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