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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:

Bias in machine learning models can be significantly mitigated by careful training: Evidence from neuroimaging studies
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 6
Open Access | Times Cited: 46

Showing 26-50 of 46 citing articles:

The effects of data leakage on connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
The abilities of movie-watching functional connectivity in individual identifications and individualized predictions
Yun Guan, Hao Ma, Jiangcong Liu, et al.
Brain Imaging and Behavior (2023) Vol. 17, Iss. 6, pp. 628-638
Closed Access | Times Cited: 2
Enabling chronic obstructive pulmonary disease diagnosis through chest X-rays: A multi-site and multi-modality study
Ryan Wang, Li-Ching Chen, Lama Moukheiber, et al.
International Journal of Medical Informatics (2023) Vol. 178, pp. 105211-105211
Open Access | Times Cited: 2
Reply to Holm et al.: Careful training is a good practice
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 23
Open Access | Times Cited: 1
Applications of artificial intelligence in benign prostatic hyperplasia
Saakshi Bansal, Yanjinlkham Chuluunbaatar, Andrew Brodie, et al.
Artificial Intelligence Surgery (2023) Vol. 3, Iss. 2, pp. 129-139
Open Access | Times Cited: 1
Bias in Unsupervised Anomaly Detection in Brain MRI
Cosmin I. Bercea, Esther Puyol‐Antón, Benedikt Wiestler, et al.
Lecture notes in computer science (2023), pp. 122-131
Closed Access | Times Cited: 1
A scoping review of fair machine learning techniques when using real-world data
Yu Huang, Jingchuan Guo, Wei‐Han Chen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Reinvestigating the performance of artificial intelligence classification algorithms on COVID-19 X-Ray and CT images
Rui Cao, Yanan Liu, Xin Wen, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109712-109712
Open Access
Enhancing liver fibrosis diagnosis and treatment assessment: a novel biomechanical markers-based machine learning approach
Zhuo Chang, C Peng, Kai‐Jung Chen, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 11, pp. 115046-115046
Open Access
Enhancing Transparency through Explainable Artificial Intelligence: An Exploratory Analysis on Collusion and Corruption Scenario in Digital Government
Igor Garcia Ballhausen Sampaio, Sergio Fontes, Eduardo de O. Andrade, et al.
(2024), pp. 52-62
Closed Access
Still too little evidence: the role of diet in colorectal cancer survivorship - a systematic review
Anna Fretwell, Panayiotis Louca, Georgia Cohoon, et al.
Critical Reviews in Food Science and Nutrition (2024), pp. 1-13
Open Access
The Manager in the Machine: Organizational Priorities Influence AI Programmer’s Ability to Design Fair Models
Merrick Osborne, Maya J. Cratsley, MaQueba Massey, et al.
(2024)
Open Access
segcsvdWMH: A convolutional neural network-based tool for quantifying white matter hyperintensities in heterogeneous patient cohorts
Erin Gibson, Joel Ramirez, Lauren Abby Woods, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Equity in Healthcare: Analyzing Disparities in Machine Learning Predictions of Diabetic Patient Readmissions
Zainab Al-Zanbouri, Gauri Sharma, Shaina Raza
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) (2024), pp. 660-669
Open Access
Unfair Trojan: Targeted Backdoor Attacks Against Model Fairness
Nicholas Furth, Abdallah Khreishah, Guanxiong Liu, et al.
Springer optimization and its applications (2024), pp. 149-168
Closed Access
Technical note: Monitoring discharge of mountain streams by retrieving image features with deep learning
Chenqi Fang, Genyu Yuan, Ziying Zheng, et al.
Hydrology and earth system sciences (2024) Vol. 28, Iss. 17, pp. 4085-4098
Open Access
Prediction of stroke severity: systematic evaluation of lesion representations
Anna K. Bonkhoff, Alexander L. Cohen, William Drew, et al.
Annals of Clinical and Translational Neurology (2024)
Open Access
Harmonization of Structural Brain Networks for Multi-site Studies
Rui Sherry Shen, Drew Parker, Andrew A. Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Comparative analysis of personal protective equipment nonadherence detection: computer vision versus human observers
Mary S. Kim, Beomseok Park, Genevieve J. Sippel, et al.
Journal of the American Medical Informatics Association (2024)
Closed Access
Generative models of MRI-derived neuroimaging features and associated dataset of 18,000 samples
Sai Spandana Chintapalli, Rongguang Wang, Zhijian Yang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Rongguang Wang, Guray Erus, Pratik Chaudhari, et al.
arXiv (Cornell University) (2023)
Open Access
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