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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:

Explainable AI techniques with application to NBA gameplay prediction
Yuanchen Wang, Weibo Liu, Xiaohui Liu
Neurocomputing (2022) Vol. 483, pp. 59-71
Open Access | Times Cited: 23

Showing 23 citing articles:

An ensemble machine learning framework for Airbnb rental price modeling without using amenity-driven features
Indranil Ghosh, Rabin K. Jana, Mohammad Zoynul Abedin
International Journal of Contemporary Hospitality Management (2023) Vol. 35, Iss. 10, pp. 3592-3611
Closed Access | Times Cited: 29
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: 11
The role of institutions in early-stage entrepreneurship: An explainable artificial intelligence approach
Byron Graham, Karen Bonner
Journal of Business Research (2024) Vol. 175, pp. 114567-114567
Open Access | Times Cited: 10
Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook’s prophet-TBATS and XAI methodology
Indranil Ghosh, Amith Vikram Megaravalli, Mohammad Zoynul Abedin, et al.
Annals of Operations Research (2025)
Open Access
A Deep Learning Approach Based on Interpretable Feature Importance for Predicting Sports Results
Messaoud Bendiaf, Hakima Khelifi, Djamila Mohdeb, et al.
International Journal of Computer Science in Sport (2025) Vol. 24, Iss. 1, pp. 56-72
Open Access
Applications of AI in martial arts: A survey
Yiqun Pang, Qiurui Wang, Qiurui Wang, et al.
Proceedings of the Institution of Mechanical Engineers Part P Journal of Sports Engineering and Technology (2024)
Closed Access | Times Cited: 2
Analysing Forecasting of Stock Prices: An Explainable AI Approach
Priyanshu Kumar, Lopamudra Hota, Vinay Anand Tikkiwal, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2009-2016
Open Access | Times Cited: 1
Dynamic Model Interpretation-Guided Online Active Learning Scheme for Real-Time Safety Assessment
Xiao He, Zeyi Liu
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 2734-2745
Closed Access | Times Cited: 4
The Importance of Interpretability in AI Systems and Its Implications for Deep Learning
Muhammad Adnan
Advances in computational intelligence and robotics book series (2024), pp. 41-76
Closed Access | Times Cited: 1
Sensorbasierte Sprungerkennung und -klassifikation mittels maschinellem Lernen im Trampolinturnen
Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, et al.
German Journal of Exercise and Sport Research (2022) Vol. 53, Iss. 2, pp. 187-195
Open Access | Times Cited: 5
Winner prediction in an ongoing one day international cricket match
Yash Agrawal, Kundan Kandhway
Journal of Sports Analytics (2024) Vol. 9, Iss. 4, pp. 305-318
Open Access
The Big Three: A Practical Framework for Designing Decision Support Systems in Sports and an Application for Basketball
Francisco Javier Sanguino Bautiste, Dustin Brunner, Jonathan B. Koch, et al.
Communications in computer and information science (2024), pp. 103-116
Closed Access
Unsupervised Explainable Activity Prediction in Competitive Nordic Walking from Experimental Data
Silvia García-Méndez, Francisco de Arriba-Pérez, Francisco J. González‐Castaño, et al.
IEEE Consumer Electronics Magazine (2024) Vol. 13, Iss. 6, pp. 37-55
Open Access
Can machine learning help reveal the competitive advantage of elite beach volleyball players?
Ola Thorsen, Emmanuel Esema, Said Hemaz, et al.
Linköping electronic conference proceedings (2024) Vol. 208, pp. 57-66
Open Access
Machine Learning Insights into Basketball Championship Predictions: An Analytical Comparison
Siti Zainab Ibrahim, Aditya Muhammad Reza, Lew Wei Kean, et al.
Lecture notes in bioengineering (2024), pp. 275-285
Closed Access
A new probability forecasting model for cotton yarn futures price volatility with explainable AI and big data
Huosong Xia, Xiaoyu Hou, Zuopeng Zhang, et al.
Journal of Forecasting (2024) Vol. 44, Iss. 1, pp. 112-135
Open Access
Towards Explainability in mHealth Application for Mitigation of Forward Head Posture in Smartphone Users
Richard O. Oyeleke, Babafemi G. Sorinolu
(2022) Vol. 39, pp. 49-55
Closed Access | Times Cited: 1
Machine learning-based study of the influence factors on the wins of NBA teams
Kaihang Su
Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022) (2023)
Closed Access
Short Review of Intention Mining in Social Crisis Management through Automatic Technologies
Xinzhi Wang, Mengyue Li, Yige Yao, et al.
Proceedings/Proceedings of the ... International Conference on Software Engineering and Knowledge Engineering (2023) Vol. 2023, pp. 2-7
Open Access
Long- and Short-Term Memory Model of Cotton Price Index Volatility Risk Based on Explainable Artificial Intelligence
Huosong Xia, Xiaoyu Hou, Zuopeng Zhang
Big Data (2023) Vol. 12, Iss. 1, pp. 49-62
Closed Access
Predicting Winner of a Professional Basketball Match
Dhananjay Daundkar, Kundan Kandhway
(2023), pp. 958-963
Closed Access
GAME TRENDS OF THE TURKISH BASKETBALL SUPER LEAGUE
Övünç Erdeveciler
Ankara Üniversitesi Beden Eğitimi ve Spor Yüksekokulu SPORMETRE Beden Eğitimi ve Spor Bilimleri Dergisi (2023), pp. 121-128
Open Access
Threshold Feature Selection PCA
Felipe Battisti, Tiago Buarque Assunção de Carvalho
(2022), pp. 50-57
Open Access
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