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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:

Opening the Black Box: The Promise and Limitations of Explainable Machine Learning in Cardiology
Jeremy Petch, Shuang Di, Walter Nelson
Canadian Journal of Cardiology (2021) Vol. 38, Iss. 2, pp. 204-213
Open Access | Times Cited: 349

Showing 1-25 of 349 citing articles:

A systematic review of Explainable Artificial Intelligence models and applications: Recent developments and future trends
A. Saranya, R. Subhashini
Decision Analytics Journal (2023) Vol. 7, pp. 100230-100230
Open Access | Times Cited: 182
Explainable, trustworthy, and ethical machine learning for healthcare: A survey
Khansa Rasheed, Adnan Qayyum, Mohammed Ghaly, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106043-106043
Open Access | Times Cited: 174
Transparency of AI in Healthcare as a Multilayered System of Accountabilities: Between Legal Requirements and Technical Limitations
Anastasiya Kiseleva, Dimitris Kotzinos, Paul De Hert
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 107
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Yuanpeng Zhang, Xinyun Zhang, Yu‐Ting Cheng, et al.
Military Medical Research (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 85
BIM-supported automatic energy performance analysis for green building design using explainable machine learning and multi-objective optimization
Yuxuan Shen, Yue Pan
Applied Energy (2023) Vol. 333, pp. 120575-120575
Closed Access | Times Cited: 76
Application of artificial intelligence in medical technologies: A systematic review of main trends
Olga Vl. Bitkina, Jaehyun Park, Hyun K. Kim
Digital Health (2023) Vol. 9
Open Access | Times Cited: 41
Artificial Intelligence in Hypertension Management: An Ace up Your Sleeve
Valeria Visco, Carmine Izzo, Costantino Mancusi, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 2, pp. 74-74
Open Access | Times Cited: 40
Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments
Brendin R. Beaulieu‐Jones, Margaret T. Berrigan, Sahaj S. Shah, et al.
Surgery (2024) Vol. 175, Iss. 4, pp. 936-942
Open Access | Times Cited: 22
UAV and satellite remote sensing for inland water quality assessments: a literature review
Eden T. Wasehun, Leila Hashemi-Beni, Courtney A. Di Vittorio
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Closed Access | Times Cited: 22
LORIS robustly predicts patient outcomes with immune checkpoint blockade therapy using common clinical, pathologic and genomic features
Tiangen Chang, Yingying Cao, Hannah J. Sfreddo, et al.
Nature Cancer (2024) Vol. 5, Iss. 8, pp. 1158-1175
Open Access | Times Cited: 22
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 21
Explainability and Interpretability in Electric Load Forecasting Using Machine Learning Techniques – A Review
Lukas Baur, Konstantin Ditschuneit, Maximilian Schambach, et al.
Energy and AI (2024) Vol. 16, pp. 100358-100358
Open Access | Times Cited: 19
ECG-only explainable deep learning algorithm predicts the risk for malignant ventricular arrhythmia in phospholamban cardiomyopathy
Rutger R van de Leur, Remco de Brouwer, Hidde Bleijendaal, et al.
Heart Rhythm (2024) Vol. 21, Iss. 7, pp. 1102-1112
Closed Access | Times Cited: 17
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: 16
Towards Industrial Revolution 5.0 and Explainable Artificial Intelligence: Challenges and Opportunities
Imran Taj, N. Z. Jhanjhi
International Journal of Computing and Digital Systems (2022) Vol. 12, Iss. 1, pp. 295-320
Open Access | Times Cited: 61
The state of the art for artificial intelligence in lung digital pathology
Vidya Sankar Viswanathan, Paula Toro, Germán Corredor, et al.
The Journal of Pathology (2022) Vol. 257, Iss. 4, pp. 413-429
Open Access | Times Cited: 59
Review on Interpretable Machine Learning in Smart Grid
Chongchong Xu, Zhicheng Liao, Chaojie Li, et al.
Energies (2022) Vol. 15, Iss. 12, pp. 4427-4427
Open Access | Times Cited: 53
Towards Industrial Revolution 5.0 and Explainable Artificial Intelligence: Challenges and Opportunities
Imran Taj, Noor Zaman
International Journal of Computing and Digital Systems (2022) Vol. 12, Iss. 1, pp. 285-310
Open Access | Times Cited: 40
Application of machine learning techniques for predicting survival in ovarian cancer
Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, et al.
BMC Medical Informatics and Decision Making (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 38
Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches
Faheem Ahmed, In Suk Kang, Kyung Hwan Kim, et al.
Journal of Medical Virology (2023) Vol. 95, Iss. 4
Closed Access | Times Cited: 37
Detection of the chronic kidney disease using XGBoost classifier and explaining the influence of the attributes on the model using SHAP
Md. Johir Raihan, Md. Al-Masrur Khan, Seong‐Hoon Kee, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 31
Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study
Patrick Saux, Pierre Bauvin, Violeta Raverdy, et al.
The Lancet Digital Health (2023) Vol. 5, Iss. 10, pp. e692-e702
Open Access | Times Cited: 29
A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors
Jing‐Yuan Ye, Fang Peng, Zhenpeng Peng, et al.
European Radiology (2023) Vol. 34, Iss. 3, pp. 1994-2005
Open Access | Times Cited: 28
Visualizing the (Causal) Effect of a Continuous Variable on a Time-To-Event Outcome
Robin Denz, Nina Timmesfeld
Epidemiology (2023) Vol. 34, Iss. 5, pp. 652-660
Open Access | Times Cited: 26
Future implications of ChatGPT in pharmaceutical industry: drug discovery and development
Ailin Zhao, Yijun Wu
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 25
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