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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:

Explaining anomalies detected by autoencoders using Shapley Additive Explanations
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115736-115736
Closed Access | Times Cited: 209

Showing 1-25 of 209 citing articles:

Explainable AI Over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc‐Viet Pham, Rukhsana Ruby, et al.
IEEE Open Journal of the Communications Society (2022) Vol. 3, pp. 2106-2136
Open Access | Times Cited: 68
Explainable artificial intelligence model for identifying COVID-19 gene biomarkers
Fatma Hilal Yağın, İpek BALIKÇI ÇİÇEK, Abedalrhman Alkhateeb, et al.
Computers in Biology and Medicine (2023) Vol. 154, pp. 106619-106619
Open Access | Times Cited: 61
Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A “conscious lab” approach
Saeed Chehreh Chelgani, Hamid Nasiri, A. Tohry, et al.
Powder Technology (2023) Vol. 420, pp. 118416-118416
Open Access | Times Cited: 44
A Survey on Explainable Anomaly Detection
Zhong Li, Yuxuan Zhu, Matthijs van Leeuwen
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 1, pp. 1-54
Open Access | Times Cited: 40
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Ibomoiye Domor Mienye, Nobert Jere
IEEE Access (2024) Vol. 12, pp. 96893-96910
Open Access | Times Cited: 20
Anomaly detection for space information networks: A survey of challenges, techniques, and future directions
Abebe Diro, Shahriar Kaisar, Athanasios V. Vasilakos, et al.
Computers & Security (2024) Vol. 139, pp. 103705-103705
Open Access | Times Cited: 19
Ensemble of Autoencoders for Anomaly Detection in Biomedical Data: A Narrative Review
Ali Nawaz, Shehroz S. Khan, Amir Ahmad
IEEE Access (2024) Vol. 12, pp. 17273-17289
Open Access | Times Cited: 16
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: 15
Assessing the impacts of urban morphological factors on urban building energy modeling based on spatial proximity analysis and explainable machine learning
Zheng Li, Jun Ma, Feifeng Jiang, et al.
Journal of Building Engineering (2024) Vol. 85, pp. 108675-108675
Closed Access | Times Cited: 14
Metaheuristic optimization algorithms-based prediction modeling for titanium dioxide-Assisted photocatalytic degradation of air contaminants
Muhammad Faisal Javed, Bilal Siddiq, Kennedy C. Onyelowe, et al.
Results in Engineering (2024) Vol. 23, pp. 102637-102637
Open Access | Times Cited: 14
Trustworthy AI-based Performance Diagnosis Systems for Cloud Applications: A Review
Ruyue Xin, Jingye Wang, Peng Chen, et al.
ACM Computing Surveys (2025) Vol. 57, Iss. 5, pp. 1-37
Open Access | Times Cited: 1
SAlexNet: Superimposed AlexNet using Residual Attention Mechanism for Accurate and Efficient Automatic Primary Brain Tumor Detection and Classification
Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, et al.
Results in Engineering (2025), pp. 104025-104025
Open Access | Times Cited: 1
A hybrid deep learning approach for dynamic attitude and position prediction in tunnel construction considering spatio-temporal patterns
Xianlei Fu, Maozhi Wu, Sasthikapreeya Ponnarasu, et al.
Expert Systems with Applications (2022) Vol. 212, pp. 118721-118721
Closed Access | Times Cited: 57
An explainable artificial intelligence approach for financial distress prediction
Zijiao Zhang, Chong Wu, Shiyou Qu, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102988-102988
Closed Access | Times Cited: 50
Explainable artificial intelligence for cybersecurity: a literature survey
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, et al.
Annals of Telecommunications (2022) Vol. 77, Iss. 11-12, pp. 789-812
Open Access | Times Cited: 45
SoK: Explainable Machine Learning for Computer Security Applications
Azqa Nadeem, Daniël Vos, Clinton Cao, et al.
(2023), pp. 221-240
Open Access | Times Cited: 27
A Survey on Explainable Artificial Intelligence for Cybersecurity
Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 20, Iss. 4, pp. 5115-5140
Open Access | Times Cited: 25
Age Assessment through Root Lengths of Mandibular Second and Third Permanent Molars Using Machine Learning and Artificial Neural Networks
Vathsala Patil, Janhavi Saxena, Ravindranath Vineetha, et al.
Journal of Imaging (2023) Vol. 9, Iss. 2, pp. 33-33
Open Access | Times Cited: 24
Multi-objective optimization for energy-efficient building design considering urban heat island effects
Yan Zhang, Bak Koon Teoh, Limao Zhang
Applied Energy (2024) Vol. 376, pp. 124117-124117
Closed Access | Times Cited: 11
Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting
Lu Peng, Sheng‐Xiang Lv, Lin Wang
Journal of Forecasting (2024) Vol. 43, Iss. 6, pp. 2064-2087
Closed Access | Times Cited: 10
Machine learning prediction of dye adsorption by hydrochar: Parameter optimization and experimental validation
Chong Liu, P. Balasubramanian, Fayong Li, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135853-135853
Closed Access | Times Cited: 9
A survey on IoT application layer protocols, security challenges, and the role of explainable AI in IoT (XAIoT)
Vagner E. Quincozes, Silvio E. Quincozes, Juliano F. Kazienko, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 1975-2002
Open Access | Times Cited: 8
Improving the prediction of biochar production from various biomass sources through the implementation of eXplainable machine learning approaches
Van Giao Nguyen, Prabhakar Sharma, Ümit Ağbulut, et al.
International Journal of Green Energy (2024) Vol. 21, Iss. 12, pp. 2771-2798
Closed Access | Times Cited: 8
Degradation and polarization curve prediction of proton exchange membrane fuel cells: An interpretable model perspective
Yang Yu, Qinghua Yu, RunSen Luo, et al.
Applied Energy (2024) Vol. 365, pp. 123289-123289
Closed Access | Times Cited: 7
Prediction of Customer Churn Behavior in the Telecommunication Industry Using Machine Learning Models
Victor Chang, Karl Hall, Qianwen Xu, et al.
Algorithms (2024) Vol. 17, Iss. 6, pp. 231-231
Open Access | Times Cited: 7
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