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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 multilayer multimodal detection and prediction model based on explainable artificial intelligence for Alzheimer’s disease
Shaker El–Sappagh, José M. Alonso, S. M. Riazul Islam, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 231

Showing 1-25 of 231 citing articles:

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
Sajid Ali, Tamer Abuhmed, Shaker El–Sappagh, et al.
Information Fusion (2023) Vol. 99, pp. 101805-101805
Open Access | Times Cited: 603
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 413
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
A. S. Albahri, Ali M. Duhaim, Mohammed A. Fadhel, et al.
Information Fusion (2023) Vol. 96, pp. 156-191
Closed Access | Times Cited: 341
Applications of Explainable Artificial Intelligence in Diagnosis and Surgery
Yiming Zhang, Ying Weng, Jonathan N. Lund
Diagnostics (2022) Vol. 12, Iss. 2, pp. 237-237
Open Access | Times Cited: 244
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: 212
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 166
From Blackbox to Explainable AI in Healthcare: Existing Tools and Case Studies
Parvathaneni Naga Srinivasu, N. Sandhya, Rutvij H. Jhaveri, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 91
A survey on the interpretability of deep learning in medical diagnosis
Qiaoying Teng, Zhe Liu, Yuqing Song, et al.
Multimedia Systems (2022) Vol. 28, Iss. 6, pp. 2335-2355
Open Access | Times Cited: 79
Artificial Intelligence in Biological Sciences
Abhaya Bhardwaj, Shristi Kishore, Dhananjay K. Pandey
Life (2022) Vol. 12, Iss. 9, pp. 1430-1430
Open Access | Times Cited: 77
Multi-modality approaches for medical support systems: A systematic review of the last decade
Massimo Salvi, Hui Wen Loh, Silvia Seoni, et al.
Information Fusion (2023) Vol. 103, pp. 102134-102134
Open Access | Times Cited: 54
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong Lu, Jiali Li, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 4, pp. 859-876
Open Access | Times Cited: 45
Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia
Laura Winchester, Eric L. Harshfield, Shi Liu, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 12, pp. 5860-5871
Open Access | Times Cited: 44
Explainable Artificial Intelligence in Alzheimer’s Disease Classification: A Systematic Review
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud, et al.
Cognitive Computation (2023) Vol. 16, Iss. 1, pp. 1-44
Open Access | Times Cited: 42
Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 41
Polycystic Ovary Syndrome Detection Machine Learning Model Based on Optimized Feature Selection and Explainable Artificial Intelligence
Hela Elmannai, Nora El-Rashidy, Ibrahim Mashal, et al.
Diagnostics (2023) Vol. 13, Iss. 8, pp. 1506-1506
Open Access | Times Cited: 40
A review of Explainable Artificial Intelligence in healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Çifçi, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109370-109370
Open Access | Times Cited: 40
Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions
Mohamed Khalifa, Mona Albadawy
Computer Methods and Programs in Biomedicine Update (2024) Vol. 5, pp. 100148-100148
Open Access | Times Cited: 34
An explainable machine learning approach for Alzheimer’s disease classification
Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 26
Multimodal classification of Alzheimer's disease and mild cognitive impairment using custom MKSCDDL kernel over CNN with transparent decision-making for explainable diagnosis
V. Adarsh, G. R. Gangadharan, Ugo Fiore, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 23
Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach
M. A. Alsalem, A.H. Alamoodi, O. S. Albahri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123066-123066
Open Access | Times Cited: 23
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 22
Explainable AI approaches in deep learning: Advancements, applications and challenges
Md. Tanzib Hosain, Jamin Rahman Jim, M. F. Mridha, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109246-109246
Closed Access | Times Cited: 17
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 16
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 16
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