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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:

Toward the development of deep learning analyses for snow avalanche releases in mountain regions
Yunzhi Chen, Wei Chen, Omid Rahmati, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7855-7880
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future
Saeid Janizadeh, Subodh Chandra Pal, Asish Saha, et al.
Journal of Environmental Management (2021) Vol. 298, pp. 113551-113551
Open Access | Times Cited: 121
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Yunzhi Chen, Wei Chen, Subodh Chandra Pal, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5564-5584
Closed Access | Times Cited: 97
Using Optimized Deep Learning to Predict Daily Streamflow: A Comparison to Common Machine Learning Algorithms
Khabat Khosravi, Ali Golkarian, John P. Tiefenbacher
Water Resources Management (2022) Vol. 36, Iss. 2, pp. 699-716
Closed Access | Times Cited: 61
Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
Wahyu Luqmanul Hakim, Arip Syaripudin Nur, Fatemeh Rezaie, et al.
Journal of Hydrology Regional Studies (2022) Vol. 39, pp. 100990-100990
Open Access | Times Cited: 43
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 33
Bagging-based machine learning algorithms for landslide susceptibility modeling
Tingyu Zhang, Quan Fu, Hao Wang, et al.
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 823-846
Open Access | Times Cited: 47
Directional mutation and crossover for immature performance of whale algorithm with application to engineering optimization
Ailiang Qi, Dong Zhao, Fanhua Yu, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 519-563
Open Access | Times Cited: 32
GIS-based evolution and comparisons of landslide susceptibility mapping of the East Sikkim Himalaya
Neha Gupta, Sanjit Kumar Pal, Josodhir Das
Annals of GIS (2022) Vol. 28, Iss. 3, pp. 359-384
Open Access | Times Cited: 28
Application of data-mining technique and hydro-chemical data for evaluating vulnerability of groundwater in Indo-Gangetic Plain
Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Rabin Chakrabortty, et al.
Journal of Environmental Management (2022) Vol. 318, pp. 115582-115582
Closed Access | Times Cited: 23
Effects of satellite temporal resolutions on the remote derivation of trends in phytoplankton blooms in inland waters
Yuchao Zhang, Kun� Shi, Zhen Cao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 191, pp. 188-202
Closed Access | Times Cited: 23
Snow avalanche susceptibility mapping from tree-based machine learning approaches in ungauged or poorly-gauged regions
Yang Liu, Xi Chen, Jinming Yang, et al.
CATENA (2023) Vol. 224, pp. 106997-106997
Closed Access | Times Cited: 15
Enhancing snow avalanche susceptibility assessment with meta-heuristic optimization and deep learning algorithms
Armin Ghayur Sadigh, Ali Asghar Alesheikh, Fatemeh Rezaie, et al.
International Journal of Environmental Science and Technology (2025)
Closed Access
Evaluation of various boosting ensemble algorithms for predicting flood hazard susceptibility areas
Quoc Bao Pham, Subodh Chandra Pal, Rabin Chakrabortty, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 2607-2628
Open Access | Times Cited: 25
Delineation of groundwater potential zones by means of ensemble tree supervised classification methods in the Eastern Lake Chad basin
Víctor Gómez‐Escalonilla, Marie-Louise Vogt, Elisa Destro, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 8924-8951
Open Access | Times Cited: 25
Effect of spatial resolution and data splitting on landslide susceptibility mapping using different machine learning algorithms
Minu Treesa Abraham, Neelima Satyam, Prashita Jain, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 3381-3408
Open Access | Times Cited: 25
Landslide susceptibility modeling based on remote sensing data and data mining techniques
Xiaojing Wang, Faming Huang, Xuanmei Fan, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 2
Closed Access | Times Cited: 18
Delineation of groundwater potential zone by integrating groundwater quality parameters using geospatial techniques and multi-criteria decision analysis – a case study on Chennai coastal watershed, Tamil Nadu, India
Subramani Ravi, Karuppasamy Sudalaimuthu
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16736-16768
Closed Access | Times Cited: 15
An effective model for predicting serum albumin level in hemodialysis patients
Jiao Hu, Yi Liu, Ali Asghar Heidari, et al.
Computers in Biology and Medicine (2021) Vol. 140, pp. 105054-105054
Closed Access | Times Cited: 18
Integrating Traditional Knowledge with GIS for Snow Avalanche Susceptibility Mapping in Kargil-Ladakh Region of Trans-Himalayan India
Mohmad Akbar, M. Shafi Bhat, Arunima Chanda, et al.
Spatial Information Research (2022) Vol. 30, Iss. 6, pp. 773-789
Closed Access | Times Cited: 13
Modeling landslide susceptibility using an evidential belief function-based multiclass alternating decision tree and logistic model tree
Qifei Zhao, Wei Chen, Chaohong Peng, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 15
Closed Access | Times Cited: 12
Developing a new method for future groundwater potentiality mapping under climate change in Bisha watershed, Saudi Arabia
Javed Mallick, Mohammed K. Al Mesfer, Majed Alsubih, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 14495-14527
Closed Access | Times Cited: 12
Developing groundwater potentiality models by coupling ensemble machine learning algorithms and statistical techniques for sustainable groundwater management
Javed Mallick, Mohd Waseem Naikoo, Swapan Talukdar, et al.
Geocarto International (2021) Vol. 37, Iss. 25, pp. 7927-7953
Closed Access | Times Cited: 17
Integration of statistical models and ensemble machine learning algorithms (MLAs) for developing the novel hybrid groundwater potentiality models: a case study of semi-arid watershed in Saudi Arabia
Javed Mallick, Swapan Talukdar, Majed Alsubih, et al.
Geocarto International (2021) Vol. 37, Iss. 22, pp. 6442-6473
Open Access | Times Cited: 16
Using computational-intelligence algorithms and remote sensing data to optimize the locations of check dams to control sediment and runoff in Kandolus watershed, Mazandaran, Iran
Shahab S. Band, Subodh Chandra Pal, Sayed M. Bateni, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12966-12988
Closed Access | Times Cited: 10
Towards Linking the Sustainable Development Goals and a Novel-Proposed Snow Avalanche Susceptibility Mapping
Hüseyın Akay
Water Resources Management (2022) Vol. 36, Iss. 15, pp. 6205-6222
Closed Access | Times Cited: 10
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