Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
Shivanshu Mahim, Md Shahin Ali, Md. Olid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 8390-8412
Open Access | Times Cited: 21
Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy
Evgenia Gkintoni, Hera Antonopoulou, Andrew Sortwell, et al.
Brain Sciences (2025) Vol. 15, Iss. 2, pp. 203-203
Open Access | Times Cited: 2
Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities
Nida Aslam, Irfan Ullah Khan, Asma Bashamakh, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 7856-7856
Open Access | Times Cited: 49
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
Irena Galić, Marija Habijan, Hrvoje Leventić, et al.
Electronics (2023) Vol. 12, Iss. 21, pp. 4411-4411
Open Access | Times Cited: 30
Brain tumor detection and screening using artificial intelligence techniques: Current trends and future perspectives
U. Raghavendra, Anjan Gudigar, Aritra Paul, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107063-107063
Closed Access | Times Cited: 27
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 8
Drug Design and Disease Diagnosis: The Potential of Deep Learning Models in Biology
Sarojini Sreeraman, K Mayuri, Raja Babu Singh Kushwah, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 3, pp. 208-220
Closed Access | Times Cited: 16
Brain Organoids: A Game-Changer for Drug Testing
Chiara Giorgi, Giorgia Lombardozzi, Fabrizio Ammannito, et al.
Pharmaceutics (2024) Vol. 16, Iss. 4, pp. 443-443
Open Access | Times Cited: 5
Role of autophagy and proteostasis in neurodegenerative diseases: Exploring the therapeutic interventions
Surbhi Panwar, Prerna Uniyal, Neelima Kukreti, et al.
Chemical Biology & Drug Design (2024) Vol. 103, Iss. 4
Closed Access | Times Cited: 5
From Skin and Gut to the Brain: The Infectious Journey of the Human Commensal Fungus Malassezia and Its Neurological Consequences
Bharati Naik, Jayaprakash Sasikumar, Shankar Das
Molecular Neurobiology (2024)
Closed Access | Times Cited: 5
Enhancing Brain Disease Diagnosis with XAI: A Review of Recent Studies
Nighat Bibi, Jane Courtney, Kevin McGuinness
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access
Modulating lipid droplet dynamics in neurodegeneration: an emerging area of molecular pharmacology
RS Verma, Prateek Sharma, Veerta Sharma, et al.
Molecular Biology Reports (2025) Vol. 52, Iss. 1
Closed Access
Deep learning frameworks for MRI-based diagnosis of neurological disorders: a systematic review and meta-analysis
Syed Saad Azhar Ali, Khuhed Memon, Norashikin Yahya, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access
Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022)
S. Janifer Jabin Jui, Ravinesh C. Deo, Prabal Datta Barua, et al.
IEEE Access (2023) Vol. 11, pp. 71905-71924
Open Access | Times Cited: 14
Revolutionizing Neurological Disorder Treatment: Integrating Innovations in Pharmaceutical Interventions and Advanced Therapeutic Technologies
Rimpi Arora, Ashish Baldi
Current Pharmaceutical Design (2024) Vol. 30, Iss. 19, pp. 1459-1471
Closed Access | Times Cited: 4
The Constrained Disorder Principle May Account for Consciousness
Tal Sigawi, Omer Hamtzany, Josef Daniel Shakargy, et al.
Brain Sciences (2024) Vol. 14, Iss. 3, pp. 209-209
Open Access | Times Cited: 3
Review of analysis of EEG signals for stress detection
Muhammad Rasydan Mazlan, Abdul Syafiq Abdull Sukor, Abdul Hamid Adom, et al.
AIP conference proceedings (2024) Vol. 3041, pp. 040007-040007
Closed Access | Times Cited: 3
A Lightweight Multi-Mental Disorders Detection Method Using Entropy-Based Matrix from Single-Channel EEG Signals
Jiawen Li, Guanyuan Feng, Jujian Lv, et al.
Brain Sciences (2024) Vol. 14, Iss. 10, pp. 987-987
Open Access | Times Cited: 3
Machine learning for cognitive treatment planning in patients with neurodisorder and trauma injuries
Ramandeep Sandhu, Deepika Ghai, Suman Lata Tripathi, et al.
Elsevier eBooks (2024), pp. 165-193
Closed Access | Times Cited: 2
Lévy noise-induced coherence resonance in neural maps
Elena Rybalova, A. V. Ryabov, Sishu Shankar Muni, et al.
Chaos Solitons & Fractals (2024) Vol. 186, pp. 115210-115210
Closed Access | Times Cited: 2
Diagnostic accuracy study of automated stratification of Alzheimer’s disease and mild cognitive impairment via deep learning based on MRI
Xiaowen Chen, Mingyue Tang, Aimin Liu, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 14, pp. 765-765
Open Access | Times Cited: 12
Bridging the gap between artificial intelligence and mental health
Tangsheng Lu, Xiaoxing Liu, Jie Sun, et al.
Science Bulletin (2023) Vol. 68, Iss. 15, pp. 1606-1610
Closed Access | Times Cited: 6
Modulating cyclic nucleotides pathways by bioactive compounds in combatting anxiety and depression disorders
Citlaly Gutiérrez-Rodelo, Shirlley E. Martínez Tolibia, Guadalupe Elide Morales-Figueroa, et al.
Molecular Biology Reports (2023) Vol. 50, Iss. 9, pp. 7797-7814
Open Access | Times Cited: 6
Artificial intelligence and neuroscience: An update on fascinating relationships
Nishanth Gopinath
Process Biochemistry (2022) Vol. 125, pp. 113-120
Closed Access | Times Cited: 10
Page 1 - Next Page

Scroll to top