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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:

A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Eugenio Cesario, Carmela Comito, Ester Zumpano
Neurocomputing (2023) Vol. 568, pp. 127079-127079
Closed Access | Times Cited: 15

Showing 15 citing articles:

Reading comprehension powered semantic fusion network for identification of N-ary drug combinations
Hua Zhang, Peiqian Zhan, Cheng Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110096-110096
Closed Access
A novel large language model enhanced joint learning framework for fine-grained sentiment analysis on drug reviews
Haochen Zou, Yongli Wang
Neurocomputing (2025), pp. 129589-129589
Closed Access
Fusion of autoencoder model for gene predication and RNA disease association
S. Sivasankari, E Keshamma, Mukesh Soni, et al.
Elsevier eBooks (2025), pp. 153-164
Closed Access
Mitigating biases in long-tailed recognition via semantic-guided feature transfer
Sheng Shi, Peng Wang, Xinfeng Zhang, et al.
Neurocomputing (2024) Vol. 590, pp. 127735-127735
Closed Access | Times Cited: 2
Exploration of Deep Learning and Transfer Learning Techniques in Bioinformatics
Sumit Bansal, Vandana Sindhi, Bhim Sain Singla
Advances in bioinformatics and biomedical engineering book series (2024), pp. 238-257
Closed Access | Times Cited: 1
Large Language Models to process, analyze, and synthesize biomedical texts - a scoping review
Simona Emilova Doneva, Sijing Qin, Beate Sick, et al.
(2024)
Closed Access | Times Cited: 1
DCGAN-DTA: Predicting drug-target binding affinity with deep convolutional generative adversarial networks
Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Deep learning-aided simultaneous missing well log prediction in multiple stratigraphic units: a case study from the Bhogpara oil field, Upper Assam, Northeast India
Bappa Mukherjee, Kalachand Sain, Sohan Kar, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 5, pp. 4901-4929
Closed Access | Times Cited: 1
AI in Neurodegeneration Prediction
Neelima Priyanka Nutulapati, Naresh Babu Karunakaran, V. Banupriya, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 114-130
Closed Access | Times Cited: 1
HeteroKGRep: Heterogeneous Knowledge Graph based Drug Repositioning
Ribot Fleury Téné Ceskoutsé, Alain Bertrand Bomgni, David R. Gnimpieba Zanfack, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112638-112638
Closed Access | Times Cited: 1
Protocol for: A Simple, Accessible, Literature-based Drug Repurposing Pipeline
Maximin Lange, Meredith Martyn, Eoin Gogarty, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Intelligent Techniques for Detection and Diagnosis of Neurodegenerative Diseases
Deepak Varadam, Sahana P. Shankar, Pranathi Hegde, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 293-319
Closed Access
A Retrieval-augmented Generation application for Question-Answering in Nutrigenetics Domain
Domenico Benfenati, Giovanni Maria De Filippis, Antonio M. Rinaldi, et al.
Procedia Computer Science (2024) Vol. 246, pp. 586-595
Open Access
Large language models to process, analyze, and synthesize biomedical texts: a scoping review
Simona Emilova Doneva, Sijing Qin, Beate Sick, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access
Advanced Topic Modeling in Genomics: Towards Personalized Dietary Recommendations Through BERTopic Analysis
Giovanni Maria De Filippis, Antonio M. Rinaldi, Cristiano Russo, et al.
Lecture notes in computer science (2024), pp. 3-17
Closed Access
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