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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:

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: 812

Showing 1-25 of 812 citing articles:

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
Rajeswari Chengoden, Nancy Victor, Thien Huynh‐The, et al.
IEEE Access (2023) Vol. 11, pp. 12765-12795
Open Access | Times Cited: 281
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-González, Alfonso Cabezón, Alejandro Seco-González, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 6, pp. 891-891
Open Access | Times Cited: 259
Targeting ferroptosis opens new avenues for the development of novel therapeutics
Shumin Sun, Jie Shen, Jianwei Jiang, et al.
Signal Transduction and Targeted Therapy (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 177
Clinical trial design in the era of precision medicine
Elena Fountzilas, Apostolia M. Tsimberidou, Henry Hiep Vo, et al.
Genome Medicine (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 150
Trends in the approval of cancer therapies by the FDA in the twenty-first century
Emma C. Scott, Andrea Baines, Yutao Gong, et al.
Nature Reviews Drug Discovery (2023) Vol. 22, Iss. 8, pp. 625-640
Closed Access | Times Cited: 127
Advancing pharmacy and healthcare with virtual digital technologies
Sarah J. Trenfield, Atheer Awad, Laura E. McCoubrey, et al.
Advanced Drug Delivery Reviews (2022) Vol. 182, pp. 114098-114098
Open Access | Times Cited: 117
Small molecules and their impact in drug discovery: A perspective on the occasion of the 125th anniversary of the Bayer Chemical Research Laboratory
Hartmut Beck, Michael Härter, B. Hass, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 6, pp. 1560-1574
Open Access | Times Cited: 96
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 95
Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives
Thi Tuyet Van Tran, Agung Surya Wibowo, Hilal Tayara, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 9, pp. 2628-2643
Closed Access | Times Cited: 80
Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review
Ajay Vikram Singh, Mansi Varma, Peter Laux, et al.
Archives of Toxicology (2023) Vol. 97, Iss. 4, pp. 963-979
Open Access | Times Cited: 79
Machine learning for synergistic network pharmacology: a comprehensive overview
Fatima Noor, Muhammad Asif, Usman Ali Ashfaq, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 72
Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review
Fredrick Mumali
Computers & Industrial Engineering (2022) Vol. 165, pp. 107964-107964
Closed Access | Times Cited: 66
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Partha Pratim Mondal, Abhinav Galodha, Vishal Verma, et al.
Bioresource Technology (2022) Vol. 370, pp. 128523-128523
Closed Access | Times Cited: 64
Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Ri Han, Hongryul Yoon, Gahee Kim, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1259-1259
Open Access | Times Cited: 59
Drug discovery and development: introduction to the general public and patient groups
Natesh Singh, Philippe Vayer, Shivalika Tanwar, et al.
Frontiers in Drug Discovery (2023) Vol. 3
Open Access | Times Cited: 56
Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery
Shruti Singh, Rajesh Kumar, Shuvasree Payra, et al.
Cureus (2023)
Open Access | Times Cited: 56
Artificial Intelligence and Machine Learning Based Intervention in Medical Infrastructure: A Review and Future Trends
Kamlesh Kumar, Prince Kumar, Dipankar Deb, et al.
Healthcare (2023) Vol. 11, Iss. 2, pp. 207-207
Open Access | Times Cited: 55
Integrating Artificial Intelligence for Drug Discovery in the Context of Revolutionizing Drug Delivery
Anita Ioana Visan, Irina Neguț
Life (2024) Vol. 14, Iss. 2, pp. 233-233
Open Access | Times Cited: 53
Artificial Intelligence in Medicine and Dentistry
Marin Vodanović, Marko Subašić, Denis Milošević, et al.
Acta Stomatologica Croatica (2023) Vol. 57, Iss. 1, pp. 70-84
Open Access | Times Cited: 47
A Cloud Intrusion Detection Systems Based on DNN Using Backpropagation and PSO on the CSE-CIC-IDS2018 Dataset
Saud Alzughaibi, Salim El Khediri
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2276-2276
Open Access | Times Cited: 45
Artificial intelligence for healthcare and medical education: a systematic review.
Sun Li, Changhao Yin, Qiuling Xu, et al.
PubMed (2023) Vol. 15, Iss. 7, pp. 4820-4828
Closed Access | Times Cited: 44
Artificial Intelligence in Lung Cancer Screening: The Future Is Now
Michaela Cellina, Laura Maria Cacioppa, Maurizio Cè, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4344-4344
Open Access | Times Cited: 44
A Perspective on Explanations of Molecular Prediction Models
Geemi P. Wellawatte, Heta A. Gandhi, Aditi Seshadri, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 8, pp. 2149-2160
Open Access | Times Cited: 43
Reimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
Javed Iqbal, Diana Jaimes, Pallavi Makineni, et al.
Cureus (2023)
Open Access | Times Cited: 42
Deep learning in food authenticity: Recent advances and future trends
Zhuowen Deng, Tao Wang, Yun Zheng, et al.
Trends in Food Science & Technology (2024) Vol. 144, pp. 104344-104344
Closed Access | Times Cited: 42
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