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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 kernel machine method for detecting higher order interactions in multimodal datasets: Application to schizophrenia
Md. Ashad Alam, Hui-Yi Lin, Hong‐Wen Deng, et al.
Journal of Neuroscience Methods (2018) Vol. 309, pp. 161-174
Open Access | Times Cited: 19

Showing 19 citing articles:

Optimization problems for machine learning: A survey
Claudio Gambella, Bissan Ghaddar, Joe Naoum‐Sawaya
European Journal of Operational Research (2020) Vol. 290, Iss. 3, pp. 807-828
Open Access | Times Cited: 252
Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 226
Brain Imaging Genomics: Integrated Analysis and Machine Learning
Li Shen, Paul M. Thompson
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 125-162
Open Access | Times Cited: 150
An overview of artificial intelligence techniques for diagnosis of Schizophrenia based on magnetic resonance imaging modalities: Methods, challenges, and future works
Delaram Sadeghi, Afshin Shoeibi, Navid Ghassemi, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105554-105554
Open Access | Times Cited: 128
Adaptive Kernel Kalman Filter
Mengwei Sun, Mike E. Davies, Ian K. Proudler, et al.
IEEE Transactions on Signal Processing (2023) Vol. 71, pp. 713-726
Open Access | Times Cited: 23
Towards artificial intelligence in mental health: a comprehensive survey on the detection of schizophrenia
Ashima Tyagi, Vibhav Prakash Singh, Manoj Madhava Gore
Multimedia Tools and Applications (2022) Vol. 82, Iss. 13, pp. 20343-20405
Closed Access | Times Cited: 30
Analysis of the superior temporal gyrus as a possible biomarker in schizophrenia using voxel-based morphometry of the brain magnetic resonance imaging: a comprehensive review
Igor D. Bandeira, Judah L. Barouh, Ingrid Dorea-Bandeira, et al.
CNS Spectrums (2020) Vol. 26, Iss. 4, pp. 319-325
Closed Access | Times Cited: 32
A Deep Generative–Discriminative Learning for Multimodal Representation in Imaging Genetics
Wonjun Ko, Wonsik Jung, Eunjin Jeon, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2348-2359
Closed Access | Times Cited: 16
Pathogenic Factors Identification of Brain Imaging and Gene in Late Mild Cognitive Impairment
Xia-an Bi, Lou Li, Rui-Hui Xu, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 3, pp. 511-520
Closed Access | Times Cited: 15
Schizophrenia Detection and Classification: A Systematic Review of the Last Decade
Apurba Saha, Seungmin Park, Zong Woo Geem, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2698-2698
Open Access | Times Cited: 1
IRC-Fuse: improved and robust prediction of redox-sensitive cysteine by fusing of multiple feature representations
Md Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, et al.
Journal of Computer-Aided Molecular Design (2021) Vol. 35, Iss. 3, pp. 315-323
Closed Access | Times Cited: 8
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis
Xiaowu Dai, Lexin Li
Journal of the American Statistical Association (2021) Vol. 118, Iss. 543, pp. 1796-1810
Open Access | Times Cited: 6
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis
Md. Ashad Alam, Chuan Qiu, Hui Shen, et al.
Journal of Biomedical Informatics (2021) Vol. 120, pp. 103854-103854
Closed Access | Times Cited: 4
Robust kernel canonical correlation analysis to detect gene-gene co-associations: A case study in genetics
Md. Ashad Alam, Osamu Komori, Hong‐Wen Deng, et al.
Journal of Bioinformatics and Computational Biology (2019) Vol. 17, Iss. 04, pp. 1950028-1950028
Closed Access | Times Cited: 3
PERFORMANCE EVALUATION OF MACHINE LEARNING ALGORITHMS IN ECOLOGICAL DATASET
Md. Siraj-Ud-Doulah, Md. Ashad Alam
International Journal of Applied Mathematics and Machine Learning (2019) Vol. 10, Iss. 1, pp. 15-45
Open Access | Times Cited: 2
TreeKernel: interpretable kernel machine tests for interactions between -omics and clinical predictors with applications to metabolomics and COPD phenotypes
Charlie M. Carpenter, Lucas A. Gillenwater, Russell P. Bowler, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access
Predicting Mental Health Disorders Post Long COVID Diagnosis Using Advanced Machine Learning Techniques
Manoj Purohit, Praveen Madiraju
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 4954-4962
Closed Access
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
Md. Ashad Alam, Chuan Qiu, Hui Shen, et al.
arXiv (Cornell University) (2020)
Open Access
Orthogonal Statistical Inference for Multimodal Data Analysis
Xiaowu Dai, Lexin Li
arXiv (Cornell University) (2021)
Closed Access
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