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:
SMILE: systems metabolomics using interpretable learning and evolution
Chengyuan Sha, Miroslava Čuperlović‐Culf, Ting Hu
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Chengyuan Sha, Miroslava Čuperlović‐Culf, Ting Hu
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 15
Showing 15 citing articles:
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 47
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 47
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Machine learning predictive models for acute pancreatitis: A systematic review
You Zhou, Yutong Ge, Xiaolei Shi, et al.
International Journal of Medical Informatics (2021) Vol. 157, pp. 104641-104641
Open Access | Times Cited: 60
You Zhou, Yutong Ge, Xiaolei Shi, et al.
International Journal of Medical Informatics (2021) Vol. 157, pp. 104641-104641
Open Access | Times Cited: 60
Interpretable machine learning methods for predictions in systems biology from omics data
David Sidak, Jana Schwarzerová, Wolfram Weckwerth, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 42
David Sidak, Jana Schwarzerová, Wolfram Weckwerth, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 42
Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Yan Zhang, Xiaoxu Zhang, Jaina Razbek, et al.
BMC Endocrine Disorders (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 22
Yan Zhang, Xiaoxu Zhang, Jaina Razbek, et al.
BMC Endocrine Disorders (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 22
Evolutionary Approaches to Explainable Machine Learning
Ryan Zhou, Ting Hu
Genetic and evolutionary computation (2023), pp. 487-506
Closed Access | Times Cited: 8
Ryan Zhou, Ting Hu
Genetic and evolutionary computation (2023), pp. 487-506
Closed Access | Times Cited: 8
Evolutionary Computation in bioinformatics: A survey
Yanyun Zhang, Cheng Li, Guanyu Chen, et al.
Neurocomputing (2024) Vol. 591, pp. 127758-127758
Closed Access | Times Cited: 2
Yanyun Zhang, Cheng Li, Guanyu Chen, et al.
Neurocomputing (2024) Vol. 591, pp. 127758-127758
Closed Access | Times Cited: 2
Genetic Programming for Interpretable and Explainable Machine Learning
Ting Hu
Genetic and evolutionary computation (2023), pp. 81-90
Closed Access | Times Cited: 6
Ting Hu
Genetic and evolutionary computation (2023), pp. 81-90
Closed Access | Times Cited: 6
Application of Explainable Artificial Intelligence in Alzheimer's Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Investigating the Potential of Essential Oils from Citrus reticulata Leaves in Mitigating Memory Decline and Oxidative Stress in the Scopolamine-Treated Zebrafish Model
Ion Brinza, Răzvan Ştefan Boiangiu, Iasmina Honceriu, et al.
Plants (2024) Vol. 13, Iss. 12, pp. 1648-1648
Open Access | Times Cited: 1
Ion Brinza, Răzvan Ştefan Boiangiu, Iasmina Honceriu, et al.
Plants (2024) Vol. 13, Iss. 12, pp. 1648-1648
Open Access | Times Cited: 1
Creating Diverse Ensembles for Classification with Genetic Programming and Neuro-MAP-Elites
Kyle Nickerson, Antonina Kolokolova, Ting Hu
Lecture notes in computer science (2022), pp. 212-227
Closed Access | Times Cited: 3
Kyle Nickerson, Antonina Kolokolova, Ting Hu
Lecture notes in computer science (2022), pp. 212-227
Closed Access | Times Cited: 3
Multivariate analyses and machine learning link sex and age with antibody responses to SARS-CoV-2 and vaccination
Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Yannick Galipeau, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110484-110484
Open Access
Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Yannick Galipeau, et al.
iScience (2024) Vol. 27, Iss. 8, pp. 110484-110484
Open Access
A Bio-Inspired Framework for Machine Bias Interpretation
Jake Robertson, Catherine Stinson, Ting Hu
(2022), pp. 588-598
Closed Access | Times Cited: 1
Jake Robertson, Catherine Stinson, Ting Hu
(2022), pp. 588-598
Closed Access | Times Cited: 1
Evolutionary approaches to explainable machine learning
Ryan Zhou, Ting Hu
arXiv (Cornell University) (2023)
Open Access
Ryan Zhou, Ting Hu
arXiv (Cornell University) (2023)
Open Access
Multi-variate statistical and machine learning reveals the interplay between sex and age in antibody responses tode novoSARS-CoV-2 infection and vaccination
Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Yannick Galipeau, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Miroslava Čuperlović‐Culf, Steffany A. L. Bennett, Yannick Galipeau, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
