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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 prediction of thermal sensation for elderly people based on data sampling, machine learning and SHapley Additive exPlanations (SHAP)
Guozhong Zheng, Yuqin Zhang, Xuhui Yue, et al.
Building and Environment (2023) Vol. 242, pp. 110602-110602
Closed Access | Times Cited: 25

Showing 25 citing articles:

The impact of synergistic development of renewable energy and digital economy on energy intensity: Evidence from 33 countries
Jianling Jiao, Jiangfeng Song, Tao Ding
Energy (2024) Vol. 295, pp. 130997-130997
Closed Access | Times Cited: 28
Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model
Ruiqi Guo, Bin Yang, Yuyao Guo, et al.
Building and Environment (2024) Vol. 254, pp. 111301-111301
Closed Access | Times Cited: 27
Physiological-signal-based prediction of occupant thermal comfort in a nonuniform transient vehicular cabin during winter
Gineesh Gopi, Da Young Ju, Jung Kyung Kim
Building and Environment (2025), pp. 112561-112561
Closed Access | Times Cited: 1
Understanding the relationship between 2D/3D variables and land surface temperature in plain and mountainous cities: Relative importance and interaction effects
Pinyang Luo, Bingjie Yu, Pengfei Li, et al.
Building and Environment (2023) Vol. 245, pp. 110959-110959
Closed Access | Times Cited: 23
Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning
Liudi Zhu, Tingwei Cui, A Runa, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 211, pp. 262-280
Closed Access | Times Cited: 13
Analysis of vegetation dynamics from 2001 to 2020 in China's Ganzhou rare earth mining area using time series remote sensing and SHAP-enhanced machine learning
Ming Lei, Yuandong Wang, Guangxu Liu, et al.
Ecological Informatics (2024) Vol. 84, pp. 102887-102887
Open 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: 5
Integrating Infrared Facial Thermal Imaging and Tabular Data for Multimodal Prediction of Occupants' Thermal Sensation
Haifeng Lan, Huiying Hou, Man Sing Wong
Building and Environment (2025), pp. 112814-112814
Closed Access
Study of Factors Influencing Thermal Comfort at Tram Stations in Guangzhou Based on Machine Learning
Xin Chen, Hai Zhao, Beini Wang, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 865-865
Open Access
Identification and Application of the Best-Suited Machine Learning Algorithm Based on Thermal Comfort Data Characteristic: A Data-Driven Approach
Pravin Diliban Nadarajah, H.K.I.S. Lakmal, Manoj Kumar Singh, et al.
Journal of Building Engineering (2024) Vol. 95, pp. 110319-110319
Closed Access | Times Cited: 4
Optimizing personal comfort: Short-term personalized heating impact on sanitation workers' thermo-physiological responses
Chujian Gu, Yang Li, Shi Chen, et al.
Building and Environment (2024), pp. 112112-112112
Closed Access | Times Cited: 4
Machine learning based thermal comfort prediction in office spaces: Integrating SMOTE and SHAP methods
Yiliang Li, Feng Gao, Jiayue Yu, et al.
Energy and Buildings (2025), pp. 115267-115267
Closed Access
Unveiling Differential Impacts of Multidimensional Urban Morphology on Heat Island Effect Across Local Climate Zones: Interpretable CatBoost-SHAP Machine Learning Model
Qiqi Liu, Hang Tian, Yunfei Wu
Building and Environment (2025), pp. 112574-112574
Closed Access
Open Source Intelligence Opportunities and Challenges: a Review
Sabina Szymoniak, Kacper Foks
Advances in Science and Technology – Research Journal (2024) Vol. 18, Iss. 3, pp. 123-139
Open Access | Times Cited: 2
Establishment, interpretation and application of logistic regression models for predicting thermal sensation of elderly people
Guozhong Zheng, Xinru Yue, Wenwen Yi, et al.
Energy and Buildings (2024) Vol. 315, pp. 114318-114318
Closed Access | Times Cited: 2
Mid-span displacement and damage degree predictions of RC beams under blast loading using machine learning-based models
Phi-Long Tran, Viet‐Linh Tran, Jin-Kook Kim
Structures (2024) Vol. 65, pp. 106702-106702
Closed Access | Times Cited: 2
Optimization and prediction of office building shading devices for energy, daylight, and view consideration using genetic and BO-LGBM algorithms
Hangyue Zhang, Yanqiu Cui, Hongbin Cai, et al.
Energy and Buildings (2024) Vol. 324, pp. 114939-114939
Closed Access | Times Cited: 2
Enhanced Ensemble Learning-Based Uncertainty and Sensitivity Analysis of Ventilation Rate in a Novel Radiative Cooling Building
Majid Mohsenpour, Mohsen Salimi, A. Kermani, et al.
Heliyon (2024) Vol. 11, Iss. 1, pp. e41572-e41572
Open Access | Times Cited: 1
SPATIO-TEMPORAL EVOLUTION AND DRIVING FACTORS OF ENERGY ECO-EFFICIENCY IN THE YANGTZE RIVER DELTA DURING 2016-2020: NOVEL EVIDENCE FROM EXPLAINABLE MACHINE LEARNING
Y. Tian, Meijuan Li, L. Tang, et al.
Applied Ecology and Environmental Research (2024) Vol. 22, Iss. 1, pp. 129-144
Open Access
Evaluating and Predicting Groundwater Drought in Semi-Arid Plains by an Interpretable Machine Learning Model Optimized by the Sparrow Search Algorithm
Zhiyuan Gan, Xianjun Xie, Chunli Su, et al.
(2024)
Closed Access
Optimization and Prediction of Office Building Shading Devices for Energy, Daylight, and View Consideration Using Genetic and Bo-Lgbm Algorithms
Hangyue Zhang, Yanqiu Cui, Hongbin Cai, et al.
(2024)
Closed Access
Value-at-Risk forecasting for the Chinese new energy stock market: an explainable quantile regression neural network method
Xiaoxu Wang, Hui Liu, Yinhong Yao
Procedia Computer Science (2024) Vol. 242, pp. 1096-1103
Open Access
Interpretable general thermal comfort model based on physiological data from wearable bio sensors: Light Gradient Boosting Machine (LightGBM) and SHapley Additive exPlanations (SHAP)
Hyunsoo Kim, Gaang Lee, Hyeunguk Ahn, et al.
Building and Environment (2024), pp. 112127-112127
Closed Access
IHML: Incremental Heuristic Meta-Learner
Onur Karadeli, Kıymet Kaya, Şule Gündüz Öğüdücü
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access
Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence
Fatma Hilal Yağın, Yasin Görmez, Fahaid Al‐Hashem, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access
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