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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:

Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech
Matej Martinc, Fasih Haider, Senja Pollak, et al.
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Applications of artificial intelligence to aid early detection of dementia: A scoping review on current capabilities and future directions
Renjie Li, Xinyi Wang, Katherine Lawler, et al.
Journal of Biomedical Informatics (2022) Vol. 127, pp. 104030-104030
Open Access | Times Cited: 80
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 28
A Transfer Learning Method for Detecting Alzheimer's Disease Based on Speech and Natural Language Processing
Ning Liu, Kexue Luo, Zhenming Yuan, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 38
Detecting dementia from speech and transcripts using transformers
Loukas Ilias, Dimitris Askounis, John Psarras
Computer Speech & Language (2023) Vol. 79, pp. 101485-101485
Open Access | Times Cited: 17
A remote speech‐based AI system to screen for early Alzheimer's disease via smartphones
Emil Fristed, Caroline Skirrow, Marton Meszaros, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 21
An Overview of the ADReSS-M Signal Processing Grand Challenge on Multilingual Alzheimer's Dementia Recognition Through Spontaneous Speech
Saturnino Luz, Fasih Haider, Davida Fromm, et al.
IEEE Open Journal of Signal Processing (2024) Vol. 5, pp. 738-749
Open Access | Times Cited: 4
Self-Supervised ASR Models and Features for Dysarthric and Elderly Speech Recognition
Shujie Hu, Xurong Xie, Mengzhe Geng, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2024) Vol. 32, pp. 3561-3575
Open Access | Times Cited: 4
Performance of machine learning algorithms for dementia assessment: impacts of language tasks, recording media, and modalities
Mahboobeh Parsapoor, Muhammad Raisul Alam, Alex Mihailidis
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 9
Multimodal Approaches for Alzheimer’s Detection Using Patients’ Speech and Transcript
Hongmin Cai, Xiaoke Huang, Zhengliang Liu, et al.
Lecture notes in computer science (2023), pp. 395-406
Closed Access | Times Cited: 8
Direct Clinical Applications of Natural Language Processing in Common Neurological Disorders: Scoping Review
Ilana Lefkovitz, Samantha Walsh, Leah J. Blank, et al.
JMIR Neurotechnology (2024) Vol. 3, pp. e51822-e51822
Open Access | Times Cited: 2
Early diagnosis of Alzheimer’s Disease based on multi-attention mechanism
Xinli Yang, Kefen Hong, Denghui Zhang, et al.
PLoS ONE (2024) Vol. 19, Iss. 9, pp. e0310966-e0310966
Open Access | Times Cited: 2
Data Augmentation for Dementia Detection in Spoken Language.
Dominika Woszczyk, Anna Hedlikova, Alican Akman, et al.
Interspeech 2022 (2022), pp. 2858-2862
Open Access | Times Cited: 10
Exploiting Prompt Learning with Pre-Trained Language Models for Alzheimer’s Disease Detection
Yi Wang, Jiajun Deng, Tianzi Wang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 5
Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer’s Disease Detection
Jinchao Li, Kaitao Song, Junan Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Open Access | Times Cited: 5
Noninvasive automatic detection of Alzheimer's disease from spontaneous speech: a review
Xiaoke Qi, Qing Zhou, Jian Dong, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 5
An explainable machine learning model of cognitive decline derived from speech
Chelsea Chandler, Catherine Diaz‐Asper, Raymond Scott Turner, et al.
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2023) Vol. 15, Iss. 4
Open Access | Times Cited: 5
Speech based detection of Alzheimer’s disease: a survey of AI techniques, datasets and challenges
Kewen Ding, Madhu Chetty, Azadeh Noori Hoshyar, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 1
Reading and lexical–semantic retrieval tasks outperforms single task speech analysis in the screening of mild cognitive impairment and Alzheimer's disease
Israel Martínez‐Nicolás, Francisco Martínez‐Sánchez, Olga Ivanova, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
AI‐based assessments of speech and language impairments in dementia
Mahboobeh Parsapoor
Alzheimer s & Dementia (2023) Vol. 19, Iss. 10, pp. 4675-4687
Closed Access | Times Cited: 4
A Systematic Review of Alzheimer's disease detection based on speech and natural language processing
Adam Sevcik, Milan Rusko
(2022), pp. 01-05
Closed Access | Times Cited: 5
Pre-training and ensembling based Alzheimer’s disease detection
Fan Xu, Qihang Zheng, Jia Shi, et al.
Technology and Health Care (2023) Vol. 32, Iss. 1, pp. 379-395
Closed Access | Times Cited: 2
Context is not key: Detecting Alzheimer’s disease with both classical and transformer-based neural language models
Behrad TaghiBeyglou, Frank Rudzicz
Natural Language Processing Journal (2023) Vol. 6, pp. 100046-100046
Open Access | Times Cited: 2
Alzheimer’s Disease Classification From Speech Pause Distributions With Context Information
Gaurav Khatri, Reza Soleimani, Katarina L. Haley, et al.
(2024), pp. 1-6
Closed Access
Disease Classification Model Based on Multi-Modal Feature Fusion
Zhengyu Wan, Xin-Hui Shao
IEEE Access (2023) Vol. 11, pp. 27536-27545
Open Access | Times Cited: 1
Neuropsychological profiles and neural correlates in typical and atypical variants of Alzheimer disease: A systematic qualitative review
C. Fredes-Roa, F. Gutiérrez-Barría, C. Ramírez-Bruna, et al.
Neurology Perspectives (2022) Vol. 3, Iss. 3, pp. 100106-100106
Open Access | Times Cited: 1
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