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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:

Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost
Ziqi Li
Computers Environment and Urban Systems (2022) Vol. 96, pp. 101845-101845
Open Access | Times Cited: 392

Showing 1-25 of 392 citing articles:

Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data
Wei Yang, Yingpeng Li, Yong Liu, et al.
Landscape and Urban Planning (2023) Vol. 243, pp. 104969-104969
Closed Access | Times Cited: 58
Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion
Hamid Gholami, Aliakbar Mohammadifar, Shahram Golzari, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166960-166960
Closed Access | Times Cited: 46
A review of machine learning for modeling air quality: Overlooked but important issues
Dié Tang, Yu Zhan, Fumo Yang
Atmospheric Research (2024) Vol. 300, pp. 107261-107261
Closed Access | Times Cited: 37
Comparative Analysis of the Seasonal Driving Factors of the Urban Heat Environment Using Machine Learning: Evidence from the Wuhan Urban Agglomeration, China, 2020
Ce Xu, Gaoliu Huang, Maomao Zhang
Atmosphere (2024) Vol. 15, Iss. 6, pp. 671-671
Open Access | Times Cited: 27
Integrating prior knowledge to build transformer models
Pei Jiang, Takashi Obi, Yoshikazu Nakajima
International Journal of Information Technology (2024) Vol. 16, Iss. 3, pp. 1279-1292
Open Access | Times Cited: 23
On the use of explainable AI for susceptibility modeling: Examining the spatial pattern of SHAP values
Nan Wang, Hongyan Zhang, Ashok Dahal, et al.
Geoscience Frontiers (2024) Vol. 15, Iss. 4, pp. 101800-101800
Open Access | Times Cited: 20
Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM
Shiqi Zhou, Dongqing Zhang, Mo Wang, et al.
Journal of Cleaner Production (2024) Vol. 457, pp. 142286-142286
Closed Access | Times Cited: 19
Exploring the scale effect of urban thermal environment through XGBoost model
Jingjuan He, Yijun Shi, Lihua Xu, et al.
Sustainable Cities and Society (2024) Vol. 114, pp. 105763-105763
Closed Access | Times Cited: 18
A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning
Hao Chen, Yang Ni, Xuanhua Song, et al.
Agricultural Water Management (2025) Vol. 308, pp. 109303-109303
Open Access | Times Cited: 3
Estimating the hydrogen adsorption in depleted shale gas reservoirs for kerogens in underground hydrogen storage using machine learning algorithms
Grant Charles Mwakipunda, Mouigni Baraka Nafouanti, AL-Wesabi Ibrahim, et al.
Fuel (2025) Vol. 388, pp. 134534-134534
Closed Access | Times Cited: 3
Identification of driving factors for heavy metals and polycyclic aromatic hydrocarbons pollution in agricultural soils using interpretable machine learning
Jun Wang, Yirong Deng, Zaoquan Huang, et al.
The Science of The Total Environment (2025) Vol. 960, pp. 178384-178384
Closed Access | Times Cited: 2
Exploring the impact of natural and human activities on vegetation changes: An integrated analysis framework based on trend analysis and machine learning
Ying Chen, Qian Zhao, Yiming Liu, et al.
Journal of Environmental Management (2025) Vol. 374, pp. 124092-124092
Closed Access | Times Cited: 2
Automated Machine Learning of Interfacial Interaction Descriptors and Energies in Metal-Catalyzed N2 and CO2 Reduction Reactions
Jiawei Chen, Yuming Gu, Qin Zhu, et al.
Langmuir (2025) Vol. 41, Iss. 5, pp. 3490-3502
Closed Access | Times Cited: 2
Decoding spatial patterns of urban thermal comfort: Explainable machine learning reveals drivers of thermal perception
Chunguang Hu, Hui Zeng
Environmental Impact Assessment Review (2025) Vol. 114, pp. 107895-107895
Closed Access | Times Cited: 2
Natural-anthropogenic environment interactively causes the surface urban heat island intensity variations in global climate zones
Yuan Yuan, Chengwei Li, Xiaolei Geng, et al.
Environment International (2022) Vol. 170, pp. 107574-107574
Open Access | Times Cited: 59
Landslide Susceptibility Mapping Based on Interpretable Machine Learning from the Perspective of Geomorphological Differentiation
Deliang Sun, D C Chen, Jialan Zhang, et al.
Land (2023) Vol. 12, Iss. 5, pp. 1018-1018
Open Access | Times Cited: 34
Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection
Chia-Yu Hsu, Wenwen Li
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 5, pp. 963-987
Open Access | Times Cited: 30
Towards white box modeling of compressive strength of sustainable ternary cement concrete using explainable artificial intelligence (XAI)
Syed Muhammad Ibrahim, Saad Shamim Ansari, Syed Danish Hasan
Applied Soft Computing (2023) Vol. 149, pp. 110997-110997
Closed Access | Times Cited: 26
Greening the concrete jungle: Unveiling the co-mitigation of greenspace configuration on PM2.5 and land surface temperature with explanatory machine learning
Yan Li, Yecheng Zhang, Qilin Wu, et al.
Urban forestry & urban greening (2023) Vol. 88, pp. 128086-128086
Closed Access | Times Cited: 25
The challenges of integrating explainable artificial intelligence into GeoAI
Xing Jin, Renée Sieber
Transactions in GIS (2023) Vol. 27, Iss. 3, pp. 626-645
Open Access | Times Cited: 23
CFD-DPM data-driven GWO-SVR for fast prediction of nitrate decomposition in blast furnaces with nozzle arrangement optimization
Wenchang Wu, Menghui Zhang, Zhao Liang, et al.
Process Safety and Environmental Protection (2023) Vol. 176, pp. 438-449
Closed Access | Times Cited: 23
PM2.5 and O3 concentration estimation based on interpretable machine learning
Siyuan Wang, Ying Ren, Bisheng Xia
Atmospheric Pollution Research (2023) Vol. 14, Iss. 9, pp. 101866-101866
Open Access | Times Cited: 23
The Dynamic Monitoring and Driving Forces Analysis of Ecological Environment Quality in the Tibetan Plateau Based on the Google Earth Engine
Muhadaisi Airiken, Shuangcheng Li
Remote Sensing (2024) Vol. 16, Iss. 4, pp. 682-682
Open Access | Times Cited: 15
Effects of patterns of urban green-blue landscape on carbon sequestration using XGBoost-SHAP model
Yangyang Yuan, Wei Guo, Siqi Tang, et al.
Journal of Cleaner Production (2024), pp. 143640-143640
Closed Access | Times Cited: 15
A five-year milestone: reflections on advances and limitations in GeoAI research
Yingjie Hu, Michael F. Goodchild, A‐Xing Zhu, et al.
Annals of GIS (2024) Vol. 30, Iss. 1, pp. 1-14
Open Access | Times Cited: 14
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