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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:

Pairwise acquisition prediction with SHAP value interpretation
Katsuya Futagami, Yusuke Fukazawa, Nakul Kapoor, et al.
The Journal of Finance and Data Science (2021) Vol. 7, pp. 22-44
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Explainable heat-related mortality with random forest and SHapley Additive exPlanations (SHAP) models
Yesuel Kim, Young‐Chul Kim
Sustainable Cities and Society (2022) Vol. 79, pp. 103677-103677
Closed Access | Times Cited: 170
Prevalence and drivers of abrupt vegetation shifts in global drylands
Miguel Berdugo, Juan Gaitán, Manuel Delgado‐Baquerizo, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 43
Open Access | Times Cited: 80
Predicting Freeway Traffic Crash Severity Using XGBoost-Bayesian Network Model with Consideration of Features Interaction
Yang Yang, Kun Wang, Zhenzhou Yuan, et al.
Journal of Advanced Transportation (2022) Vol. 2022, pp. 1-16
Open Access | Times Cited: 71
Short-term rockburst prediction in underground project: insights from an explainable and interpretable ensemble learning model
Yingui Qiu, Jian Zhou
Acta Geotechnica (2023) Vol. 18, Iss. 12, pp. 6655-6685
Closed Access | Times Cited: 67
Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment
Hongcheng Wang, Yuqi Wang, Xu Wang, et al.
Engineering (2024) Vol. 36, pp. 51-62
Open Access | Times Cited: 26
Machine Learning in Management Accounting Research: Literature Review and Pathways for the Future
Mikko Ranta, Mika Ylinen, Marko Järvenpää
European Accounting Review (2022) Vol. 32, Iss. 3, pp. 607-636
Open Access | Times Cited: 46
Machine learning framework for intelligent aeration control in wastewater treatment plants: Automatic feature engineering based on variation sliding layer
Yuqi Wang, Hongcheng Wang, Yunpeng Song, et al.
Water Research (2023) Vol. 246, pp. 120676-120676
Closed Access | Times Cited: 41
A machine learning led investigation to understand individual difference and the human-environment interactive effect on classroom thermal comfort
Haifeng Lan, Huiying Hou, Zhonghua Gou
Building and Environment (2023) Vol. 236, pp. 110259-110259
Closed Access | Times Cited: 35
Precise Prediction of Biochar Yield and Proximate Analysis by Modern Machine Learning and SHapley Additive exPlanations
Lê Anh Tuấn, Ashok Pandey, Ranjan Sirohi, et al.
Energy & Fuels (2023) Vol. 37, Iss. 22, pp. 17310-17327
Closed Access | Times Cited: 31
Elevating students’ lives through immersive learning experiences in a safe metaverse
Alexandru Căpăţînă, Nina Jane Patel, Kiril Mitrov, et al.
International Journal of Information Management (2023) Vol. 75, pp. 102723-102723
Closed Access | Times Cited: 31
Monitoring multi-water quality of internationally important karst wetland through deep learning, multi-sensor and multi-platform remote sensing images: A case study of Guilin, China
Wenlan Yang, Bolin Fu, Sunzhe Li, et al.
Ecological Indicators (2023) Vol. 154, pp. 110755-110755
Open Access | Times Cited: 26
Explanatory predictive model for COVID-19 severity risk employing machine learning, shapley addition, and LIME
Mariam Laatifi, Samira Douzi, Hind Ezzine, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 24
Evaluation and Interpretation of Blasting-Induced Tunnel Overbreak: Using Heuristic-Based Ensemble Learning and Gene Expression Programming Techniques
Yingui Qiu, Jian Zhou, Biao He, et al.
Rock Mechanics and Rock Engineering (2024) Vol. 57, Iss. 9, pp. 7535-7563
Closed Access | Times Cited: 12
Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization
Sudhakar Uppalapati, Prabhu Paramasivam, Naveen Kilari, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Using Machine Learning Methods to Forecast Air Quality: A Case Study in Macao
Thomas M. T. Lei, Shirley W. I. Siu, Joana Monjardino, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1412-1412
Open Access | Times Cited: 38
Toward explainable electrical load forecasting of buildings: A comparative study of tree-based ensemble methods with Shapley values
Jihoon Moon, Seungmin Rho, Sung Wook Baik
Sustainable Energy Technologies and Assessments (2022) Vol. 54, pp. 102888-102888
Open Access | Times Cited: 34
Biomass energy transformation: Harnessing the power of explainable ai to unlock the potential of ultimate analysis data
Mansoor Alruqi, Prabhakar Sharma, Sameer Algburi, et al.
Environmental Technology & Innovation (2024) Vol. 35, pp. 103652-103652
Open Access | Times Cited: 8
Novel rockburst prediction criterion with enhanced explainability employing CatBoost and nature-inspired metaheuristic technique
Yingui Qiu, Jian Zhou
Underground Space (2024) Vol. 19, pp. 101-118
Open Access | Times Cited: 8
增强采矿作业中岩石碎片预测: 利用混合GWO-RF模型及SHAP可解释性分析
Yulin Zhang, Yingui Qiu, Danial Jahed Armaghani, et al.
Journal of Central South University (2024) Vol. 31, Iss. 8, pp. 2916-2929
Closed Access | Times Cited: 8
A glass-box approach for predictive modeling based on experimental data for a waste biomass derived producer gas-powered dual-fuel engine
Thanh Tuan Le, Prabhakar Sharma, Huu Cuong Le, et al.
International Journal of Hydrogen Energy (2024) Vol. 58, pp. 1122-1137
Closed Access | Times Cited: 6
An investigation using resampling techniques and explainable machine learning to minimize fire losses in residential buildings
Zenghui Liu, Yingnan Zhuang
Journal of Building Engineering (2024) Vol. 95, pp. 110080-110080
Closed Access | Times Cited: 6
CapitalVX: A machine learning model for startup selection and exit prediction
Greg Ross, Sanjiv Ranjan Das, Daniel Sciro, et al.
The Journal of Finance and Data Science (2021) Vol. 7, pp. 94-114
Open Access | Times Cited: 38
An Interpretable Machine Learning Model for Daily Global Solar Radiation Prediction
Mohamed Chaibi, El Mahjoub Benghoulam, Lhoussaine Tarik, et al.
Energies (2021) Vol. 14, Iss. 21, pp. 7367-7367
Open Access | Times Cited: 38
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
Thanh Tuan Le, Prabhakar Sharma, Sameh M. Osman, et al.
Clean Technologies and Environmental Policy (2024) Vol. 26, Iss. 12, pp. 4405-4431
Closed Access | Times Cited: 5
Estimation of gross calorific value based on coal analysis using an explainable artificial intelligence
Saeed Chehreh Chelgani
Machine Learning with Applications (2021) Vol. 6, pp. 100116-100116
Open Access | Times Cited: 30
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