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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:

Interpretable deep learning LSTM model for intelligent economic decision-making
Sangjin Park, Jae‐Suk Yang
Knowledge-Based Systems (2022) Vol. 248, pp. 108907-108907
Closed Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Explainable artificial intelligence (XAI) in finance: a systematic literature review
Jurgita Černevičienė, Audrius Kabašinskas
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 28
A comprehensive review on financial explainable AI
Wei Jie Yeo, Wihan van der Heever, Rui Mao, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 6
Open Access | Times Cited: 2
Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Machine learning techniques in bankruptcy prediction: A systematic literature review
Απόστολος Δασίλας, Anna Rigani
Expert Systems with Applications (2024) Vol. 255, pp. 124761-124761
Closed Access | Times Cited: 7
A deep learning approach for abnormal pore pressure prediction based on multivariate time series of kick
Qingfeng Li, Fu Jianhong, Chi Peng, et al.
Geoenergy Science and Engineering (2023) Vol. 226, pp. 211715-211715
Closed Access | Times Cited: 15
A spatial-temporal deep learning-based warning system against flooding hazards with an empirical study in Taiwan
Kuo-Hao Chang, Yun-Ting Chiu, Wen-Ray Su, et al.
International Journal of Disaster Risk Reduction (2024), pp. 104263-104263
Closed Access | Times Cited: 6
eXplainable Artificial Intelligence (XAI) for improving organisational regility
Niusha Shafiabady, Nick Hadjinicolaou, Nadeesha D. Hettikankanamage, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301429-e0301429
Open Access | Times Cited: 5
Artificial Intelligence for Management Information Systems: Opportunities, Challenges, and Future Directions
Stela Stoykova, Nikola Shakev
Algorithms (2023) Vol. 16, Iss. 8, pp. 357-357
Open Access | Times Cited: 12
Supply chain fraud prediction with machine learning and artificial intelligence
Mark Lokanan, Vikas Maddhesia
International Journal of Production Research (2024), pp. 1-28
Closed Access | Times Cited: 4
Machine learning models based on bubble analysis for Bitcoin market crash prediction
Sangjin Park, Jae‐Suk Yang
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108857-108857
Closed Access | Times Cited: 3
Investigating the impact of co-processing municipal solid waste in cement kilns on coal savings and emissions using machine learning
Vorada Kosajan, Jingyi Dong, Zongguo Wen
Journal of Cleaner Production (2025), pp. 144966-144966
Closed Access
Study on interpretability of artificial neural network models for dynamic load identification
Fengfan Yang, Yajun Luo, Longfei Du, et al.
Measurement (2025), pp. 117210-117210
Closed Access
Explainable Artificial Intelligence for Business and Economics: Methods, Applications and Challenges
Qi Lyu, Shaomin Wu
Expert Systems (2025) Vol. 42, Iss. 4
Open Access
Introducing Artificial Intelligence (AI) in Social Research
Prokopis Christou
CABI eBooks (2025), pp. 1-11
Closed Access
4C-FinNet: A multi-channel feature map and spatio-temporal feature fusion method for financial risk prediction
Shimeng Yang, Chao Li, Zishang Li, et al.
Expert Systems with Applications (2025), pp. 127789-127789
Closed Access
Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
Farhina Sardar Khan, Syed Shahid Mazhar, Kashif Mazhar, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 8
Open Access
Intelligent cryptocurrency trading system using integrated AdaBoost-LSTM with market turbulence knowledge
Sangjin Park, Jae‐Suk Yang
Applied Soft Computing (2023) Vol. 145, pp. 110568-110568
Closed Access | Times Cited: 9
Enhancing credit risk prediction with hybrid deep learning and sand cat swarm feature selection
R. Ramesh, M. Jeyakarthic
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60243-60263
Closed Access | Times Cited: 3
Interpretable decision-making model with uncertain weights for sustainable digital economy
Qingyong Wang
Advanced Engineering Informatics (2024) Vol. 60, pp. 102359-102359
Closed Access | Times Cited: 3
Network-Based prediction of financial cross-sector risk spillover in China: A deep learning approach
Pan Tang, Wei Xu, Haosen Wang
The North American Journal of Economics and Finance (2024) Vol. 72, pp. 102151-102151
Closed Access | Times Cited: 3
Global outlook on affordability of biotherapeutic drugs
Anurag S. Rathore, Peter J. Gardner, Hemlata Chhabra, et al.
Annals of the New York Academy of Sciences (2024) Vol. 1537, Iss. 1, pp. 168-178
Closed Access | Times Cited: 3
COVID-19 vaccine prediction based on an interpretable CNN-LSTM model with three-stage feature engineering
Lubna Altarawneh, Hao Wang, Yu Jin
Health and Technology (2024) Vol. 14, Iss. 6, pp. 1241-1261
Closed Access | Times Cited: 2
Enhancing pore pressure prediction accuracy: A knowledge-driven approach with temporal fusion transformer
Shaohua Cao, Chengqi Wang, Qiang Niu, et al.
Geoenergy Science and Engineering (2024) Vol. 238, pp. 212839-212839
Closed Access | Times Cited: 2
Enhancing Long-Term GDP Forecasting with Advanced Hybrid Models: A Comparative Study of ARIMA-LSTM and ARIMA-TCN with Dense Regression
Dalia Atif
Computational Economics (2024)
Closed Access | Times Cited: 2
Real Estate Automated Valuation Model with Explainable Artificial Intelligence Based on Shapley Values
Dieudonné Tchuente
The Journal of Real Estate Finance and Economics (2024)
Closed Access | Times Cited: 2
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