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:

Application of Machine Learning in Spatial Proteomics
Minjie Mou, Ziqi Pan, Mingkun Lu, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 23, pp. 5875-5895
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 65

A Transformer-Based Ensemble Framework for the Prediction of Protein–Protein Interaction Sites
Minjie Mou, Ziqi Pan, Zhimeng Zhou, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 57

Spatial multi-omics: deciphering technological landscape of integration of multi-omics and its applications
Xiaojie Liu, Ting Peng, Miaochun Xu, et al.
Journal of Hematology & Oncology (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 18

Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications
Hao He, Hongrui Duo, Youjin Hao, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106671-106671
Closed Access | Times Cited: 23

Advances in spatial proteomics: Mapping proteome architecture from protein complexes to subcellular localizations
Lisa M. Breckels, Charlotte Hutchings, Kishor D. Ingole, et al.
Cell chemical biology (2024) Vol. 31, Iss. 9, pp. 1665-1687
Open Access | Times Cited: 7

Rm-LR: A long-range-based deep learning model for predicting multiple types of RNA modifications
Sirui Liang, Yanxi Zhao, Junru Jin, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107238-107238
Closed Access | Times Cited: 14

Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 5

Evaluating Machine Learning Methods of Analyzing Multiclass Metabolomics
Yaguo Gong, Wei Ding, Panpan Wang, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 24, pp. 7628-7641
Closed Access | Times Cited: 11

Recent Advancements in Subcellular Proteomics: Growing Impact of Organellar Protein Niches on the Understanding of Cell Biology
Vanya Bhushan, Aleksandra Nita‐Lazar
Journal of Proteome Research (2024) Vol. 23, Iss. 8, pp. 2700-2722
Closed Access | Times Cited: 4

Proteomics and machine learning-based approach to decipher subcellular proteome of mouse heart
Haoyun Fang, Alin Rai, Seyed Sadegh Eslami, et al.
Molecular & Cellular Proteomics (2025), pp. 100952-100952
Open Access

Navigating the Multiverse: A Hitchhiker’s Guide to Selecting Harmonisation Methods for Multimodal Biomedical Data
Murali Aadhitya Magateshvaren Saras, Mithun K. Mitra, Sonika Tyagi
Biology Methods and Protocols (2025) Vol. 10, Iss. 1
Open Access

Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes
Ashok Kumar Sah, Rabab Hassan Elshaikh, Manar G. Shalabi, et al.
Life (2025) Vol. 15, Iss. 5, pp. 745-745
Open Access

Emerging technologies in adipose tissue research
Dimiter Avtanski, Nikola Hadzi‐Petrushev, Slavica Josifovska, et al.
Adipocyte (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 9

Artificial Intelligence and Machine Learning in Bioinformatics
Shabroz Alam, Juveriya Israr, Ajay Kumar
Advances in Bioinformatics (2024), pp. 321-345
Closed Access | Times Cited: 3

Spatial proteomics: unveiling the multidimensional landscape of protein localization in human diseases
Mengyao Wu, Huihui Tao, Tiantian Xu, et al.
Proteome Science (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 3

Substantial Enhancement of Overall Efficiency and Effectiveness of the Pasteurization and Packaging Process Using Artificial Intelligence in the Food Industry
Poornima Singh, Vinay Kumar Pandey, Rahul Singh, et al.
Food and Bioprocess Technology (2024)
Closed Access | Times Cited: 2

Self-Organizing Maps for Secondary Ion Mass Spectrometry
Sarah E. Bamford, Wil Gardner, David A. Winkler, et al.
Journal of the American Society for Mass Spectrometry (2024) Vol. 35, Iss. 10, pp. 2516-2528
Closed Access | Times Cited: 2

A systematic review of state-of-the-art strategies for machine learning-based protein function prediction
Tianci Yan, Zixuan Yue, Hongquan Xu, et al.
Computers in Biology and Medicine (2022) Vol. 154, pp. 106446-106446
Closed Access | Times Cited: 11

Progress in research on tumor microenvironment-based spatial omics technologies
FANGMEI XIE, NAITE XI, Zeping Han, et al.
Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (2023) Vol. 31, Iss. 6, pp. 877-885
Open Access | Times Cited: 5

Application of machine learning for mass spectrometry-based multi-omics in thyroid diseases
Yanan Che, Meng Zhao, Yan Gao, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 1

A systematic review on the state-of-the-art strategies for protein representation
Zixuan Yue, Tianci Yan, Hongquan Xu, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106440-106440
Closed Access | Times Cited: 6

SISPRO: Signature Identification for Spatial Proteomics
Ying Zhou, Yintao Zhang, Fengcheng Li, et al.
Journal of Molecular Biology (2023) Vol. 435, Iss. 14, pp. 167944-167944
Open Access | Times Cited: 3

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