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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:

The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China
Benyan Tan, Ziqi Gan, Wu Yan
Expert Systems with Applications (2023) Vol. 227, pp. 120375-120375
Open Access | Times Cited: 24

Showing 24 citing articles:

Moderate-resolution snow depth product retrieval from passive microwave brightness data over Xinjiang using machine learning approach
Yang Liu, Jinming Yang, Xi Chen, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 10
Predicting employee attrition and explaining its determinants
Shahin Manafi Varkiani, Francesco Pattarin, Tommaso Fabbri, et al.
Expert Systems with Applications (2025), pp. 126575-126575
Open Access | Times Cited: 1
Integrated forecasting of monthly runoff considering the combined effects of teleconnection factors
Jianbo Chang, Baowei Yan, Mingbo Sun, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102206-102206
Closed Access | Times Cited: 1
Systemic risk prediction using machine learning: Does network connectedness help prediction?
Gang‐Jin Wang, Yan Chen, You Zhu, et al.
International Review of Financial Analysis (2024) Vol. 93, pp. 103147-103147
Closed Access | Times Cited: 7
The Impacts of Open Data and eXplainable AI on Real Estate Price Predictions in Smart Cities
Fátima Trindade Neves, Manuela Aparício, Miguel de Castro Neto
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 2209-2209
Open Access | Times Cited: 4
Deciphering Long‐Term Economic Growth: An Exploration With Leading Machine Learning Techniques
Zin Mar Oo, Ching‐Yang Lin, Makoto Kakinaka
Journal of Forecasting (2025)
Closed Access
Explainability of Machine Learning Models with XGBoost and SHAP Values in the Context of Coping with Disasters
Lucas Teixeira, Augusto de Matos, Gabriel Carvalho, et al.
Lecture notes in computer science (2025), pp. 152-166
Closed Access
Measurement and Early Warning of Systemic Financial Risk in China: Markov Switching Models
Yingdong Wang, Wenzhi Xi
Computational Economics (2025)
Closed Access
Identification of key factors on carbon neutrality readiness in China’s regional manufacturing industry: A rule mining technique based on interpretable ensemble learning
Yifan Zhang, Wenping Wang
Journal of Cleaner Production (2025), pp. 145628-145628
Closed Access
A role recognition model based on students’ social-behavioural–cognitive-emotional features during collaborative learning
Cixiao Wang, Jianjun Xiao
Interactive Learning Environments (2025), pp. 1-20
Closed Access
Early warning of regime switching in a complex financial system from a spillover network dynamic perspective
Sufang An, Xiangyun Gao, An Feng, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 111924-111924
Open Access
Evaluation of Provincial Economic Resilience in China Based on the TOPSIS-XGBoost-SHAP Model
Zhan Wu
Journal of Mathematics (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 6
Vector SHAP Values for Machine Learning Time Series Forecasting
Ji Eun Choi, Ji Won Shin, Dong Wan Shin
Journal of Forecasting (2024)
Closed Access | Times Cited: 1
Omnipresent AI and Big data for financial early warning: integrating financial indicators and text sentiment analysis in Chinese real estate
Cheng-Feng Wu, Meng-Chen Lin, Tzu‐Chiao Chao, et al.
Enterprise Information Systems (2024)
Closed Access | Times Cited: 1
Leading-edge Artificial Intelligence (AI)-Powered Financial Forecasting for Shaping the Future of Investment Strategies
Nitin Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2023)
Closed Access | Times Cited: 3
Early Warning of Financial Risk Management using AGRNN-COA Approach
Xuwei Tang
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 2474-2490
Open Access
Optimizing the extreme gradient boosting algorithm through the use of metaheuristic algorithms in sales forecasting
Bahadır Gülsün, Muhammed Resul Aydin
Research Square (Research Square) (2024)
Open Access
Quantity forecast of mobile subscribers with Time-Dilated Attention
Binhong Yao
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103940-103940
Closed Access
Dynamic analysis and application of network structure control in risk conduction in the industrial chain
Xian Xi, Xiangyun Gao, Xiaotian Sun, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access
Corporate Financial Risk Identification and Operation Control Analysis for XGBoost Modeling
Yu Guan, Zhijuan Zong
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Application of XGBoost in the A-shares stock market forecasting
Jianhao Gao
(2024), pp. 503-511
Closed Access
Early Warning of Carbon Price Volatility Risk Using Improved SVM Classifier with Multifractal Singularity Spectrum and Oversampling Technique
Weide Chun, Kang Wang, Xu Wu, et al.
(2023)
Closed Access
Deciphering Long-Term Economic Growth: An Exploration with Leading Machine Learning Techniques
Zin Mar Oo, Ching‐Yang Lin, Makoto Kakinaka
(2023)
Closed Access
An Intelligent Decision Support System for Forecasting Financially Distressed Businesses
Ahmed Amer Abdul-kareem, Zaki T. Fayed, Sherine Rady, et al.
(2023) Vol. 30, pp. 353-359
Closed Access
Financial Risk Early Warning Based on Big Data Analysis
Lanlan Wan
(2023), pp. 1-5
Closed Access
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