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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:

Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, et al.
International Journal of Human-Computer Studies (2021) Vol. 160, pp. 102761-102761
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Depression Screening in Humans With AI and Deep Learning Techniques
Mudasir Ahmad Wani, Mohammad ELAffendi, Kashish Ara Shakil, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 4, pp. 2074-2089
Closed Access | Times Cited: 35
Machine learning based algorithms for virtual early detection and screening of neurodegenerative and neurocognitive disorders: a systematic-review
Milad Yousefi, Masih Akhbari, Zhina Mohamadi, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 5
Digerati – A multipath parallel hybrid deep learning framework for the identification of mycobacterial PE/PPE proteins
Fuyi Li, Xudong Guo, Yue Bi, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107155-107155
Closed Access | Times Cited: 12
CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict
Aashish Bhandari, Siddhant Bikram Shah, Surendrabikram Thapa, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 1994-2003
Closed Access | Times Cited: 12
Natural language processing-driven framework for the early detection of language and cognitive decline
Kulvinder Panesar, María Beatriz Pérez Cabello de Alba
Language and Health (2023) Vol. 1, Iss. 2, pp. 20-35
Open Access | Times Cited: 11
The Role of Natural Language Processing in Detecting Insurance Fraud
Venkata Ramana Saddi, Bhagawan Gnanapa, Swetha Boddu, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 11
Machine Learning Approaches for Speech-Based Alzheimer’s Detection: A Comprehensive Survey
Ahmed Sharafeldeen, Justin Keowen, Ahmed Shaffie
Computers (2025) Vol. 14, Iss. 2, pp. 36-36
Open Access
A multi-dimensional decision framework based on the XGBoost algorithm and the constrained parametric approach
Xinxin Wang, Bingbing Zhang, Zeshui Xu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Natural language processing in Alzheimer's disease research: Systematic review of methods, data, and efficacy
Arezo Shakeri, Mina Farmanbar
Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2025) Vol. 17, Iss. 1
Open Access
Applications of deep learning in Alzheimer’s disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions
Shiva Toumaj, Arash Heidari, Reza Shahhosseini, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access | Times Cited: 3
A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict
Surendrabikram Thapa, Aditya Shah, Farhan Ahmad Jafri, et al.
(2022)
Open Access | Times Cited: 13
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
System Development and Evaluation of Human–Computer Interaction Approach for Assessing Functional Impairment for People with Mild Cognitive Impairment: A Pilot Study
Tian Su, Zixing Ding, Lizhen Cui, et al.
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 8, pp. 1906-1920
Closed Access | Times Cited: 6
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media
Usman Naseem, Surendrabikram Thapa, Qi Zhang, et al.
Social Network Analysis and Mining (2023) Vol. 14, Iss. 1
Closed Access | Times Cited: 6
CoDeS: A Deep Learning Framework for Identifying COVID-Caused Depression Symptoms
Mudasir Ahmad Wani, Mohammad ELAffendi, Patrick Bours, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 305-325
Closed Access | Times Cited: 5
NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse
Surendrabikram Thapa, Kritesh Rauniyar, Shuvam Shiwakoti, et al.
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 4
Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse
Kritesh Rauniyar, Sweta Poudel, Shuvam Shiwakoti, et al.
IEEE Access (2023) Vol. 11, pp. 143092-143115
Open Access | Times Cited: 4
RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis
Surendrabikram Thapa, Farhan Ahmad Jafri, Kritesh Rauniyar, et al.
(2024), pp. 1854-1863
Open Access | Times Cited: 1
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
Ensemble Transfer Learning for Distinguishing Cognitively Normal and Mild Cognitive Impairment Patients Using MRI
Pratham Grover, Kunal Chaturvedi, Xing Zi, et al.
Algorithms (2023) Vol. 16, Iss. 8, pp. 377-377
Open Access | Times Cited: 3
Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media
Usman Naseem, Surendrabikram Thapa, Qi Zhang, et al.
(2023), pp. 1-8
Open Access | Times Cited: 3
Natural Language Processing Based on Convolutional Neural Network and Semi Supervised Algorithm in Deep Learning
Shuo Yang
2022 International Conference on Artificial Intelligence in Everything (AIE) (2022), pp. 174-178
Closed Access | Times Cited: 5
Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer’s Disease
Kritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, et al.
(2023), pp. 24-30
Open Access | Times Cited: 2
Building and Testing Fine-Grained Dataset of COVID-19 Tweets for Worry Prediction
Tahani Soud Alharbi, Fethi Fkih
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 8
Open Access | Times Cited: 4
Overcoming the Stigma of Alzheimer's Disease by Means of Natural Language Processing as well as Blockchain Technologies

(2024), pp. 149-173
Closed Access
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