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:

Perturbation-based methods for explaining deep neural networks: A survey
Maksims Ivanovs, Roberts Kadiķis, Kaspars Ozols
Pattern Recognition Letters (2021) Vol. 150, pp. 228-234
Open Access | Times Cited: 126

Showing 1-25 of 126 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
Explainable artificial intelligence: a comprehensive review
Dang Lien Minh, Hanxiang Wang, Yanfen Li, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 5, pp. 3503-3568
Closed Access | Times Cited: 419
Obtaining genetics insights from deep learning via explainable artificial intelligence
Gherman Novakovsky, Nick Dexter, Maxwell W. Libbrecht, et al.
Nature Reviews Genetics (2022) Vol. 24, Iss. 2, pp. 125-137
Closed Access | Times Cited: 220
A Review of Taxonomies of Explainable Artificial Intelligence (XAI) Methods
Timo Speith
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 2239-2250
Open Access | Times Cited: 180
Review of the application of Artificial Neural Networks in ocean engineering
Nerea Portillo Juan, Vicente Negro Valdecantos
Ocean Engineering (2022) Vol. 259, pp. 111947-111947
Open Access | Times Cited: 97
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
Tim Hulsen
AI (2023) Vol. 4, Iss. 3, pp. 652-666
Open Access | Times Cited: 92
Textual Analysis in Accounting: What's Next?*
Khrystyna Bochkay, Stephen Brown, Andrew J. Leone, et al.
Contemporary Accounting Research (2022) Vol. 40, Iss. 2, pp. 765-805
Open Access | Times Cited: 88
Machine Learning-Guided Protein Engineering
Petr Kouba, Pavel Kohout, Faraneh Haddadi, et al.
ACS Catalysis (2023) Vol. 13, Iss. 21, pp. 13863-13895
Open Access | Times Cited: 83
A principal odor map unifies diverse tasks in olfactory perception
Brian K. Lee, Emily J. Mayhew, Benjamín Sánchez-Lengeling, et al.
Science (2023) Vol. 381, Iss. 6661, pp. 999-1006
Open Access | Times Cited: 79
Explainable Intrusion Detection for Cyber Defences in the Internet of Things: Opportunities and Solutions
Nour Moustafa, Nickolaos Koroniotis, Marwa Keshk, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 3, pp. 1775-1807
Closed Access | Times Cited: 76
TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis
Qian Chen, Xingjian Dong, Guowei Tu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110952-110952
Open Access | Times Cited: 57
Interpretable Machine Learning Techniques in ECG-Based Heart Disease Classification: A Systematic Review
Yehualashet Megersa Ayano, Friedhelm Schwenker, Bisrat Derebssa Dufera, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 111-111
Open Access | Times Cited: 57
Towards a safe and efficient clinical implementation of machine learning in radiation oncology by exploring model interpretability, explainability and data-model dependency
Ana María Barragán Montero, Adrien Bibal, Margerie Huet Dastarac, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 11, pp. 11TR01-11TR01
Open Access | Times Cited: 49
An Empirical Survey on Explainable AI Technologies: Recent Trends, Use-Cases, and Categories from Technical and Application Perspectives
Mohammad Nagahisarchoghaei, Nasheen Nur, Logan Cummins, et al.
Electronics (2023) Vol. 12, Iss. 5, pp. 1092-1092
Open Access | Times Cited: 29
LightX3ECG: A Lightweight and eXplainable Deep Learning System for 3-lead Electrocardiogram Classification
Khiem H. Le, Hieu H. Pham, Thao Nguyen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104963-104963
Open Access | Times Cited: 27
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Syed Muhammad Ibrahim, Saad Shamim Ansari, Syed Danish Hasan
Applied Soft Computing (2023) Vol. 149, pp. 110997-110997
Closed Access | Times Cited: 23
Recent deep learning-based brain tumor segmentation models using multi-modality magnetic resonance imaging: a prospective survey
Zain Ul Abıdın, Rizwan Ali Naqvi, Amir Haider, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 12
Open Access | Times Cited: 13
Anomaly diagnosis of connected autonomous vehicles: A survey
Yukun Fang, Haigen Min, Xia Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102223-102223
Closed Access | Times Cited: 10
Advances, opportunities, and challenges in methods for interrogating the structure activity relationships of natural products
Christine Mae F. Ancajas, Abiodun S. Oyedele, Caitlin M. Butt, et al.
Natural Product Reports (2024) Vol. 41, Iss. 10, pp. 1543-1578
Open Access | Times Cited: 7
Designing an Interpretability-Based Model to Explain the Artificial Intelligence Algorithms in Healthcare
Mohammad Ennab, Hamid Mcheick
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1557-1557
Open Access | Times Cited: 33
This looks More Like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation
Srishti Gautam, Marina Höhne, Stine Thestrup Hansen, et al.
Pattern Recognition (2022) Vol. 136, pp. 109172-109172
Open Access | Times Cited: 29
Exploring interpretable representations for heart sound abnormality detection
Zhihua Wang, Kun Qian, Houguang Liu, et al.
Biomedical Signal Processing and Control (2023) Vol. 82, pp. 104569-104569
Closed Access | Times Cited: 21
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 775-794
Open Access | Times Cited: 21
Explainable Methods for Image-Based Deep Learning: A Review
Lav Kumar Gupta, Deepika Koundal, Shweta Malhotra
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2651-2666
Closed Access | Times Cited: 20
Interpreting runoff forecasting of long short-term memory network: An investigation using the integrated gradient method on runoff data from the Han River Basin
Jing Xin, Jungang Luo, Ganggang Zuo, et al.
Journal of Hydrology Regional Studies (2023) Vol. 50, pp. 101549-101549
Open Access | Times Cited: 17
Page 1 - Next Page

Scroll to top