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:

Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China
Ralf Wieland, Tobia Lakes, Claas Nendel
Geoscientific model development (2021) Vol. 14, Iss. 3, pp. 1493-1510
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Effects of climate change and human activities on vegetation coverage change in northern China considering extreme climate and time-lag and -accumulation effects
Mengyang Ma, Qingming Wang, Rong Liu, et al.
The Science of The Total Environment (2022) Vol. 860, pp. 160527-160527
Closed Access | Times Cited: 110

Research and application of XGBoost in imbalanced data
Ping Zhang, Yiqiao Jia, Youlin Shang
International Journal of Distributed Sensor Networks (2022) Vol. 18, Iss. 6, pp. 155013292211069-155013292211069
Open Access | Times Cited: 89

Climate-induced tree-mortality pulses are obscured by broad-scale and long-term greening
Yuchao Yan, Shilong Piao, William M. Hammond, et al.
Nature Ecology & Evolution (2024) Vol. 8, Iss. 5, pp. 912-923
Closed Access | Times Cited: 37

Using an Explainable Machine Learning Approach to Characterize Earth System Model Errors: Application of SHAP Analysis to Modeling Lightning Flash Occurrence
Sam J. Silva, Christoph A. Keller, Joseph Hardin
Journal of Advances in Modeling Earth Systems (2022) Vol. 14, Iss. 4
Open Access | Times Cited: 44

Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers
Guyu Zhang, Fei Shao, Yuan Wei, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 10

Explanations of Machine Learning Models in Repeated Nested Cross-Validation: An Application in Age Prediction Using Brain Complexity Features
Riccardo Scheda, Stefano Diciotti
Applied Sciences (2022) Vol. 12, Iss. 13, pp. 6681-6681
Open Access | Times Cited: 34

Peripheral blood mononuclear cell derived biomarker detection using eXplainable Artificial Intelligence (XAI) provides better diagnosis of breast cancer
Sunil Kumar, Asmita Das
Computational Biology and Chemistry (2023) Vol. 104, pp. 107867-107867
Closed Access | Times Cited: 18

Modeling the Subpixel Land-Use Dynamics and Its Influence on Urban Heat Islands: Impacts of Factors and Scale, and Population Exposure Risk
Xun Liang, Song Guo, Chunyang Huang, et al.
Sustainable Cities and Society (2024) Vol. 107, pp. 105417-105417
Closed Access | Times Cited: 7

Controls of groundwater-dependent vegetation coverage in the yellow river basin, china: Insights from interpretable machine learning
Taiya Bai, Xu‐Sheng Wang, Pengfei Han
Journal of Hydrology (2024) Vol. 631, pp. 130747-130747
Closed Access | Times Cited: 6

Clustering and Interpretation of time-series trajectories of chronic pain using evidential c-means
Armel Soubeiga, Violaine Antoine, Alice Corteval, et al.
Expert Systems with Applications (2024), pp. 125369-125369
Closed Access | Times Cited: 6

Enhanced Solar Power Prediction Models With Integrating Meteorological Data Toward Sustainable Energy Forecasting
Mohammed A. Atiea, Abdullah M. Shaheen, Abdullah Alassaf, et al.
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 6

Characteristics and Drivers of Vegetation Change in Xinjiang, 2000–2020
Li Guo, Jiye Liang, Shijie Wang, et al.
Forests (2024) Vol. 15, Iss. 2, pp. 231-231
Open Access | Times Cited: 5

Climate change enhances greening while human activities accelerate degradation in northern China's grasslands
Feifei Cao, Leizhen Liu, Yu-ping Rong, et al.
The Science of The Total Environment (2025) Vol. 966, pp. 178570-178570
Closed Access

Biological response of Rhopalosiphum padi and Sipha flava (Hemiptera: Aphididae) changes over generations
Alexander Machado Auad, Vinícius Ferraz Nascimento, S. M. Mendes, et al.
Florida Entomologist (2025) Vol. 108, Iss. 1
Open Access

Modeling and Evaluation of the Permeate Flux in Forward Osmosis Process with Machine Learning
Fengming Shi, Shang Lu, Jinglian Gu, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 49, pp. 18045-18056
Closed Access | Times Cited: 20

The counteracting effects of large-scale vegetation restoration and increased precipitation on drought in the Huang-Huai-Hai-Yangtze River basin
Mengyang Ma, Qingming Wang, Yong Zhao, et al.
Journal of Hydrology (2023) Vol. 622, pp. 129733-129733
Closed Access | Times Cited: 12

An artificial intelligence-based assessment of soil erosion probability indices and contributing factors in the Abha-Khamis watershed, Saudi Arabia
Saeed Alqadhi, Javed Mallick, Swapan Talukdar, et al.
Frontiers in Ecology and Evolution (2023) Vol. 11
Open Access | Times Cited: 12

Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model
Xiaoyu Meng, Shengyu Li, Khaulenbek Akhmadi, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4

Spatiotemporal changes of vegetation in the northern foothills of Qinling Mountains based on kNDVI considering climate time-lag effects and human activities
Lili Chen, Zhenhong Li, Chenglong Zhang, et al.
Environmental Research (2025), pp. 120959-120959
Closed Access

A novel application with explainable machine learning (SHAP and LIME) to predict soil N, P, and K nutrient content in cabbage cultivation
Thilina Abekoon, Hirushan Sajindra, Namal Rathnayake, et al.
Smart Agricultural Technology (2025), pp. 100879-100879
Open Access

AI Models Uncover Factors Influencing Scorpionism in Northern Brazil
Thais de Andrade Moura, Andrés A. Ojanguren‐Affilastro, Mahmood Sasa, et al.
Toxicon (2025), pp. 108342-108342
Closed Access

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