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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:

Deep learning in drug discovery: an integrative review and future challenges
Heba Askr, Enas Elgeldawi, Heba Aboul Ella, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 5975-6037
Open Access | Times Cited: 160

Showing 26-50 of 160 citing articles:

A Review on the Recent Applications of Deep Learning in Predictive Drug Toxicological Studies
Krishnendu Sinha, Nabanita Ghosh, Parames C. Sil
Chemical Research in Toxicology (2023) Vol. 36, Iss. 8, pp. 1174-1205
Closed Access | Times Cited: 18
Smart Implementation of Industrial Internet of Things Using Embedded Mechatronic System
Abdelhamid Zaïdi, Ismail Keshta, Zatin Gupta, et al.
IEEE Embedded Systems Letters (2023) Vol. 16, Iss. 2, pp. 190-193
Closed Access | Times Cited: 18
Making sense of chemical space network shows signs of criticality
Nicola Amoroso, Nicola Gambacorta, Fabrizio Mastrolorito, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
AI-Driven Decision-Making Applications in Pharmaceutical Sciences
Bancha Yingngam, Abhiruj Navabhatra, Polpan Sillapapibool
Advances in media, entertainment and the arts (AMEA) book series (2024), pp. 1-63
Closed Access | Times Cited: 5
Digital Technology Applications in the Management of Adverse Drug Reactions: Bibliometric Analysis
Olena Litvinova, Andy Wai Kan Yeung, Fabian Peter Hammerle, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 3, pp. 395-395
Open Access | Times Cited: 5
Enhancing property and activity prediction and interpretation using multiple molecular graph representations with MMGX
Apakorn Kengkanna, Masahito Ohue
Communications Chemistry (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5
Multimodal fused deep learning for drug property prediction: Integrating chemical language and molecular graph
Xiaohua Lu, Liangxu Xie, Lei Xu, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1666-1679
Open Access | Times Cited: 5
Toward structure–multiple activity relationships (SMARts) using computational approaches: A polypharmacological perspective
Edgar López‐López, José L. Medina‐Franco
Drug Discovery Today (2024) Vol. 29, Iss. 7, pp. 104046-104046
Closed Access | Times Cited: 5
Potential inhibitors of VEGFR1, VEGFR2, and VEGFR3 developed through Deep Learning for the treatment of Cervical Cancer
Anuraj Nayarisseri, Mohnad Abdalla, Isha Joshi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 5
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 5
Large language models in bioinformatics: applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 4
Precision medicine in colorectal cancer: Leveraging multi-omics, spatial omics, and artificial intelligence
Zishan Xu, Wei Li, Xiangyang Dong, et al.
Clinica Chimica Acta (2024) Vol. 559, pp. 119686-119686
Closed Access | Times Cited: 4
Exploiting protein language models for the precise classification of ion channels and ion transporters
Hamed Ghazikhani, Gregory Butler
Proteins Structure Function and Bioinformatics (2024) Vol. 92, Iss. 8, pp. 998-1055
Open Access | Times Cited: 4
Advanced AI Applications for Drug Discovery
Bancha Yingngam, Benjabhorn Sethabouppha
Advances in medical technologies and clinical practice book series (2024), pp. 42-86
Closed Access | Times Cited: 4
An extensive survey on the use of supervised machine learning techniques in the past two decades for prediction of drug side effects
Pranab Jyoti Das, Dilwar Hussain Mazumder
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9809-9836
Open Access | Times Cited: 12
Morphological profiling for drug discovery in the era of deep learning
Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 3
Revolutionizing adjuvant development: harnessing AI for next-generation cancer vaccines
Wei Zhang, Xiaoli Zheng, Paolo Coghi, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 3
A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines
Heba Mamdouh Farghaly, Mamdouh M. Gomaa, Enas Elgeldawi, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
Anthropomorphic chatbots as a catalyst for marketing brand experience: evidence from online travel agencies
Edward C.S. Ku
Current Issues in Tourism (2023) Vol. 27, Iss. 23, pp. 4165-4184
Closed Access | Times Cited: 10
PT-Finder: A multi-modal neural network approach to target identification
Hossam Nada, Sung-Do Kim, Kyeong Lee
Computers in Biology and Medicine (2024) Vol. 174, pp. 108444-108444
Closed Access | Times Cited: 3
The recent advances in the approach of artificial intelligence (AI) towards drug discovery
Mahroza Kanwal Khan, Mohsin Ali Raza, Muhammad Shahbaz, et al.
Frontiers in Chemistry (2024) Vol. 12
Open Access | Times Cited: 3
Proximity Graph Networks: Predicting Ligand Affinity with Message Passing Neural Networks
Zachary J. Gale-Day, Laura Shub, Kangway V. Chuang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5439-5450
Open Access | Times Cited: 3
Deep Learning Based Methods for Molecular Similarity Searching: A Systematic Review
Maged Nasser, Umi Kalsom Yusof, Naomie Salim
Processes (2023) Vol. 11, Iss. 5, pp. 1340-1340
Open Access | Times Cited: 8
From pixels to insights: Machine learning and deep learning for bioimage analysis
M Jan, Allie Spangaro, M. Lenartowicz, et al.
BioEssays (2023) Vol. 46, Iss. 2
Open Access | Times Cited: 8

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