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:

Leveraging transformers‐based language models in proteome bioinformatics
Nguyen Quoc Khanh Le
PROTEOMICS (2023) Vol. 23, Iss. 23-24
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Deep Learning and Neural Networks: Decision-Making Implications
Hamed Taherdoost
Symmetry (2023) Vol. 15, Iss. 9, pp. 1723-1723
Open Access | Times Cited: 32

Expectation management in AI: A framework for understanding stakeholder trust and acceptance of artificial intelligence systems
Marjorie Kinney, Maria Anastasiadou, Mijail Naranjo-Zolotov, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28562-e28562
Open Access | Times Cited: 11

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction
Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8

Open‐source large language models in action: A bioinformatics chatbot for PRIDE database
Jingwen Bai, Selvakumar Kamatchinathan, Deepti J Kundu, et al.
PROTEOMICS (2024)
Open Access | Times Cited: 5

Using protein language models for protein interaction hot spot prediction with limited data
Karen Sargsyan, Carmay Lim
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4

Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy
Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

The Role of Generative Artificial Intelligence in Digital Agri-Food
Sakib Shahriar, Maria G. Corradini, Shayan Sharif, et al.
Journal of Agriculture and Food Research (2025), pp. 101787-101787
Open Access

Life and Completeness in Complex Systems
Juan G. Díaz Ochoa
Understanding complex systems (2025), pp. 121-155
Closed Access

GramSeq-DTA: A Grammar-Based Drug–Target Affinity Prediction Approach Fusing Gene Expression Information
Kusal Debnath, Pratip Rana, Preetam Ghosh
Biomolecules (2025) Vol. 15, Iss. 3, pp. 405-405
Open Access

Advanced machine learning framework for enhancing breast cancer diagnostics through transcriptomic profiling
Mohamed J. Saadh, Hanan Hassan Ahmed, Radhwan Abdul Kareem, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access

Robust enzyme discovery and engineering with deep learning using CataPro
Zechen Wang, Dongqi Xie, Di Wu, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access

Deep learning methods for protein function prediction
Frimpong Boadu, Ahhyun Lee, Jianlin Cheng
PROTEOMICS (2024)
Open Access | Times Cited: 4

Bioinfo-Bench: A Simple Benchmark Framework for LLM Bioinformatics Skills Evaluation
Qiyuan Chen, Cheng Deng
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9

Drug Discovery in the Age of Artificial Intelligence: Transformative Target-Based Approaches
Akshata Y. Patne, Sai Madhav Dhulipala, William F. Lawless, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 22, pp. 12233-12233
Open Access | Times Cited: 3

VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models
Shreya Singh, Nguyen Quoc Khanh Le, Cheng Wang
Computers in Biology and Medicine (2023) Vol. 168, pp. 107662-107662
Closed Access | Times Cited: 7

DeepAT: A Deep Learning Wheat Phenotype Prediction Model Based on Genotype Data
Jinchen Li, Zikang He, Guomin Zhou, et al.
Agronomy (2024) Vol. 14, Iss. 12, pp. 2756-2756
Open Access | Times Cited: 2

Improving Prediction of Complications Post-Proton Therapy in Lung Cancer Using Large Language Models and Meta-Analysis
Pei‐Ju Chao, Chu-Ho Chang, Jyun-Jie Wu, et al.
Cancer Control (2024) Vol. 31
Open Access | Times Cited: 1

DeepPTM: Protein Post-translational Modification Prediction from Protein Sequences by Combining Deep Protein Language Model with Vision Transformers
Necla Nisa Soylu, Emre Sefer
Current Bioinformatics (2024) Vol. 19, Iss. 9, pp. 810-824
Closed Access | Times Cited: 1

Assessing parameter efficient methods for pre-trained language model in annotating scRNA-seq data
Yucheng Xia, Yuhang Liu, Tianhao Li, et al.
Methods (2024) Vol. 228, pp. 12-21
Closed Access | Times Cited: 1

Intercellular pathways of cancer treatment-related cardiotoxicity and their therapeutic implications: the paradigm of radiotherapy
Stella Logotheti, Athanasia Pavlopoulou, Hamid Khoshfekr Rudsari, et al.
Pharmacology & Therapeutics (2024) Vol. 260, pp. 108670-108670
Closed Access | Times Cited: 1

PRONTO-TK: a user-friendly PROtein Neural neTwOrk tool-kit for accessible protein function prediction
Gianfranco Politano, Alfredo Benso, Hafeez Ur Rehman, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 3
Open Access | Times Cited: 1

From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning
Dimitrios Zaikis, Ioannis Vlahavas
IEEE Access (2023) Vol. 11, pp. 115951-115967
Open Access | Times Cited: 3

Development of method using language processing techniques for extracting information on drug–health food product interactions
Mari Yoshizaki, Yuki Kuriya, Masaki Yamamoto, et al.
British Journal of Clinical Pharmacology (2024) Vol. 90, Iss. 6, pp. 1514-1524
Closed Access

How do Big Data and Generative AI dawn on Computational Biology?
Shaurya Jauhari
SSRN Electronic Journal (2024)
Closed Access

Molecular subgraph representation learning based on spatial structure transformer
S. W. Zhang, Jianguang Lu, Xianghong Tang
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 8197-8212
Open Access

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