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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:

LoRMIkA: Local rule-based model interpretability with k-optimal associations
Dilini Rajapaksha, Christoph Bergmeir, Wray Buntine
Information Sciences (2020) Vol. 540, pp. 221-241
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

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
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence
Ilia Stepin, José M. Alonso, Alejandro Català, et al.
IEEE Access (2021) Vol. 9, pp. 11974-12001
Open Access | Times Cited: 269
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash, et al.
Information Sciences (2022) Vol. 615, pp. 238-292
Closed Access | Times Cited: 105
Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
Cosmas Ifeanyi Nwakanma, Love Allen Chijioke Ahakonye, Judith Nkechinyere Njoku, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1252-1252
Open Access | Times Cited: 90
A new approach based on association rules to add explainability to time series forecasting models
A. R. Troncoso-García, M. Martínez-Ballesteros, Francisco Martínez‐Álvarez, et al.
Information Fusion (2023) Vol. 94, pp. 169-180
Open Access | Times Cited: 28
SoK: Explainable Machine Learning in Adversarial Environments
Maximilian Noppel, Christian Wressnegger
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 97, pp. 2441-2459
Closed Access | Times Cited: 5
Machine Learning Algorithms for Predicting and Risk Profiling of Cardiac Surgery-Associated Acute Kidney Injury
Jahan C. Penny‐Dimri, Christoph Bergmeir, Christopher M. Reid, et al.
Seminars in Thoracic and Cardiovascular Surgery (2020) Vol. 33, Iss. 3, pp. 735-745
Closed Access | Times Cited: 43
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
IEEE Transactions on Software Engineering (2021) Vol. 48, Iss. 8, pp. 2814-2835
Open Access | Times Cited: 34
Architectural tactics to achieve quality attributes of machine-learning-enabled systems: A systematic literature review
Vladislav Indykov, Daniel Strüber, Rebekka Wohlrab
Journal of Systems and Software (2025) Vol. 223, pp. 112373-112373
Open Access
Exploring Evaluation Methods for Interpretable Machine Learning: A Survey
Nourah Alangari, Mohamed El Bachir Menaï, Hassan Mathkour, et al.
Information (2023) Vol. 14, Iss. 8, pp. 469-469
Open Access | Times Cited: 10
Feature-Weighted Counterfactual-Based Explanation for Bankruptcy Prediction
Soo Hyun Cho, Kyung‐shik Shin
Expert Systems with Applications (2022) Vol. 216, pp. 119390-119390
Closed Access | Times Cited: 14
A novel software defect prediction approach via weighted classification based on association rule mining
Wentao Wu, Shihai Wang, Bin Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107622-107622
Closed Access | Times Cited: 8
LoMEF: A framework to produce local explanations for global model time series forecasts
Dilini Rajapaksha, Christoph Bergmeir, Rob Hyndman
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1424-1447
Open Access | Times Cited: 13
The adverse impact of flight delays on passenger satisfaction: An innovative prediction model utilizing wide & deep learning
Cen Song, Xiao-Qian MA, Catherine Ardizzone, et al.
Journal of Air Transport Management (2023) Vol. 114, pp. 102511-102511
Closed Access | Times Cited: 6
Explainable AI for Software Engineering
Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, John Grundy
Zenodo (CERN European Organization for Nuclear Research) (2021)
Open Access | Times Cited: 13
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data
Dilini Rajapaksha, Christoph Bergmeir
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 12098-12107
Open Access | Times Cited: 9
Efficient Learning of Interpretable Classification Rules
Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
Journal of Artificial Intelligence Research (2022) Vol. 74, pp. 1823-1863
Open Access | Times Cited: 9
On the effectiveness of developer features in code smell prioritization: A replication study
Zijie Huang, Huiqun Yu, Guisheng Fan, et al.
Journal of Systems and Software (2024) Vol. 210, pp. 111968-111968
Closed Access | Times Cited: 1
Visual Exploration of Machine Learning Model Behavior With Hierarchical Surrogate Rule Sets
Jun Yuan, Brian Barr, Kyle Overton, et al.
IEEE Transactions on Visualization and Computer Graphics (2022) Vol. 30, Iss. 2, pp. 1470-1488
Open Access | Times Cited: 6
Explaining deep convolutional models by measuring the influence of interpretable features in image classification
Francesco Ventura, Salvatore Greco, Daniele Apiletti, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 5, pp. 3169-3226
Open Access | Times Cited: 3
Local interpretation of supervised learning models based on high dimensional model representation
Xiaohang Zhang, Wu Ling, Zhengren Li
Information Sciences (2021) Vol. 561, pp. 1-19
Closed Access | Times Cited: 6
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans
Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 6
Optimal Local Explainer Aggregation for Interpretable Prediction
Qiaomei Li, Rachel Cummings, Yonatan Mintz
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 11, pp. 12000-12007
Open Access | Times Cited: 3
Introducing User Feedback-Based Counterfactual Explanations (UFCE)
Muhammad Suffian, José M. Alonso, Alessandro Bogliolo
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access
Evolutionary computation to explain deep learning models for time series forecasting
Angela Troncoso Garcia, Alicia Troncoso, Francisco Javier Álvarez‐Martínez, et al.
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing (2023), pp. 433-436
Open Access | Times Cited: 1
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