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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:

Detecting Alzheimer’s Disease from Continuous Speech Using Language Models
Zhiqiang Guo, Zhen-Hua Ling, Yunxia Li
Journal of Alzheimer s Disease (2019) Vol. 70, Iss. 4, pp. 1163-1174
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Artificial Intelligence, Speech, and Language Processing Approaches to Monitoring Alzheimer’s Disease: A Systematic Review
Sofia de la Fuente Garcia, Craig Ritchie, Saturnino Luz
Journal of Alzheimer s Disease (2020) Vol. 78, Iss. 4, pp. 1547-1574
Open Access | Times Cited: 182
Classifying Alzheimer's Disease Using Audio and Text-Based Representations of Speech
R’mani Haulcy, James Glass
Frontiers in Psychology (2021) Vol. 11
Open Access | Times Cited: 68
Speech- and Language-Based Classification of Alzheimer’s Disease: A Systematic Review
Inês Vigo, Luís Coelho, Sara Reis
Bioengineering (2022) Vol. 9, Iss. 1, pp. 27-27
Open Access | Times Cited: 46
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 21
Comparing Natural Language Processing Techniques for Alzheimer’s Dementia Prediction in Spontaneous Speech
Thomas Searle, Zina Ibrahim, Richard Dobson
Interspeech 2022 (2020), pp. 2192-2196
Open Access | Times Cited: 38
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
Evaluating voice-assistant commands for dementia detection
Xiaohui Liang, John A. Batsis, Youxiang Zhu, et al.
Computer Speech & Language (2021) Vol. 72, pp. 101297-101297
Open Access | Times Cited: 27
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
Detecting Alzheimer’s Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation
Zhaoci Liu, Zhiqiang Guo, Zhen-Hua Ling, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2021), pp. 7323-7327
Closed Access | Times Cited: 19
Alzheimer’s Dementia Speech (Audio vs. Text): Multi-Modal Machine Learning at High vs. Low Resolution
Prachee Priyadarshinee, Christopher Johann Clarke, Jan Melechovský, et al.
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4244-4244
Open Access | Times Cited: 7
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection
Zhiqiang Guo, Zhaoci Liu, Zhen-Hua Ling, et al.
Proceedings of the 17th international conference on Computational linguistics - (2020), pp. 6161-6171
Open Access | Times Cited: 18
Dementia Detection by Analyzing Spontaneous Mandarin Speech
Zhaoci Liu, Zhiqiang Guo, Zhen-Hua Ling, et al.
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2019)
Closed Access | Times Cited: 14
Automatic speech analysis for detecting cognitive decline of older adults
Lihe Huang, Hao Yang, Yiran Che, et al.
Frontiers in Public Health (2024) Vol. 12
Open Access | Times Cited: 1
Explainable cognitive decline detection in free dialogues with a Machine Learning approach based on pre-trained Large Language Models
Francisco de Arriba-Pérez, Silvia García-Méndez, Javier Otero-Mosquera, et al.
Applied Intelligence (2024) Vol. 54, Iss. 24, pp. 12613-12628
Open Access | Times Cited: 1
Temporal Speech Parameters Detect Mild Cognitive Impairment in Different Languages: Validation and Comparison of the Speech-GAP Test® in English and Hungarian
János Kálmán, Davangere P. Devanand, Gábor Gosztolya, et al.
Current Alzheimer Research (2022) Vol. 19, Iss. 5, pp. 373-386
Open Access | Times Cited: 6
A Systematic Review of Expressive and Receptive Prosody in People With Dementia
Chorong Oh, Richard J. Morris, Xianhui Wang
Journal of Speech Language and Hearing Research (2021) Vol. 64, Iss. 10, pp. 3803-3825
Closed Access | Times Cited: 8
Predicting Prodromal Dementia Using Linguistic Patterns and Deficits
Ahmed H. Alkenani, Yuefeng Li, Yue Xu, et al.
IEEE Access (2020) Vol. 8, pp. 193856-193873
Open Access | Times Cited: 7
Noninvasive Detection of Alzheimer’s Disease from Conversational Speech Using 1D-CNN
John Sahaya Rani Alex, Rishikesh Bhyri, Gowri Prasood Usha, et al.
Lecture notes in electrical engineering (2023), pp. 583-592
Closed Access | Times Cited: 2
Domain-aware Intermediate Pretraining for Dementia Detection with Limited Data
Youxiang Zhu, Xiaohui Liang, John A. Batsis, et al.
Interspeech 2022 (2022), pp. 2183-2187
Open Access | Times Cited: 3
Review of voice biomarkers in the screening of neurodegenerative diseases
Siye Chen, Linghan Li, Shuyu Han, et al.
Interdisciplinary Nursing Research (2024) Vol. 3, Iss. 3, pp. 190-198
Closed Access
Towards early prediction of Alzheimer's disease through language samples
Jed A. Meltzer
EClinicalMedicine (2020) Vol. 29-30, pp. 100644-100644
Open Access | Times Cited: 3
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review (Preprint)
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
(2023)
Open Access | Times Cited: 1
Comparing Natural Language Processing Techniques for Alzheimer's Dementia Prediction in Spontaneous Speech
Thomas Searle, Zina Ibrahim, Richard Dobson
(2020)
Closed Access | Times Cited: 2
Dementia classification using attention mechanism on audio data
Shkhanukova Milana
(2023), pp. 000103-000108
Closed Access
Deep discourse analysis for early prediction of multi-type dementia
Ahmed H. Alkenani
(2023)
Open Access
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