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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:

Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm
Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109848-109848
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning
Xianguo Wu, Zongbao Feng, Jun Liu, et al.
Automation in Construction (2024) Vol. 165, pp. 105516-105516
Closed Access | Times Cited: 27
Integrating remote sensing derived indices and machine learning algorithms for precise extraction of small surface water bodies in the lower Thoubal river watershed, India
Md Hibjur Rahaman, Roshani Singh, Md Masroor, et al.
Journal of Cleaner Production (2023) Vol. 422, pp. 138563-138563
Closed Access | Times Cited: 23
Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models
P. M. Huang, Mengyao Hou, Tong Sun, et al.
Journal of Cleaner Production (2024) Vol. 442, pp. 141152-141152
Closed Access | Times Cited: 11
A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy
Tianpu Xiao, Chunji Xie, Li Yang, et al.
Food Chemistry (2025) Vol. 478, pp. 143617-143617
Closed Access | Times Cited: 1
Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
Xinmin Song, Weihua Wei, Junbo Zhou, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5137-5137
Open Access | Times Cited: 18
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Exploring the Molecular Interaction of PCOS and Endometrial Carcinoma through Novel Hyperparameter-Optimized Ensemble Clustering Approaches
Pınar Karadayı Ataş
Mathematics (2024) Vol. 12, Iss. 2, pp. 295-295
Open Access | Times Cited: 6
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
Rule-based fuzzy inference system for landslide susceptibility mapping along national highway 7 in Garhwal Himalayas, India
Shubham Badola, Varun Narayan Mishra, Surya Parkash, et al.
Quaternary Science Advances (2023) Vol. 11, pp. 100093-100093
Open Access | Times Cited: 14
Evaluation of the groundwater prospective zone by coupling hydro-meteorological and geospatial evidence in Wabe River Catchment Omo Gibe River Basin, Ethiopia
Yonas Mathewos, Brook Abate, Mulugeta Dadi, et al.
Water Cycle (2024) Vol. 5, pp. 37-58
Open Access | Times Cited: 5
Leveraging Novel Machine Learning Models in Predicting Groundwater Irrigation Suitability in Southeastern Nigeria: A Hydrogeochemical Approach
Obinna Chigoziem Akakuru, Patrick Ray, S M Taslim Reza, et al.
Scientific African (2025), pp. e02646-e02646
Open Access
Groundwater potential zone mapping of middle Andaman using multi-criteria decision-making and support vector machine
Pradeep Kumar, Priyadarshini Singh, Harshita Asthana, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101191-101191
Closed Access | Times Cited: 4
Integration of remote sensing data and GIS technologies in river management system
Chatrabhuj, Kundan Meshram, Umank Mishra, et al.
Discover Geoscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 4
Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms
Dongmei Yu, Zitao Wang, Chao Yue, et al.
Journal of Hydrology Regional Studies (2025) Vol. 58, pp. 102195-102195
Closed Access
Performance evaluation of convolutional neural network and vision transformer models for groundwater potential mapping
Behnam Sadeghi, Ali Asghar Alesheikh, Ali Jafari, et al.
Journal of Hydrology (2025), pp. 132840-132840
Closed Access
Optimizing groundwater potential assessment: uncertainty reduction through sample balancing and enhanced hybrid modeling
Rui Liu, Juncheng Gou, Jialiang Han, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
Landslide Susceptibility Mapping in Complex Topo‐Climatic Himalayan Terrain, India Using Machine Learning Models: A Comparative Study of XGBoost, RF and ANN
Shubham Badola, Manish Pandey, Varun Narayan Mishra, et al.
Geological Journal (2025)
Closed Access
Climate change impact assessment on groundwater level changes: A study of hybrid model techniques
Stephen Afrifa, Tao Zhang, Xin Zhao, et al.
IET Signal Processing (2023) Vol. 17, Iss. 6
Open Access | Times Cited: 9
A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential
Viet‐Ha Nhu, Duong Cao Phan, Pham Viet Hoa, et al.
IEEE Access (2024) Vol. 12, pp. 26344-26363
Open Access | Times Cited: 3
Optimizing urban water sustainability: Integrating deep learning, genetic algorithm, and CMIP6 GCM for groundwater potential zone prediction within a social-ecological-technological framework
Mahfuzur Rahman, Md. Monirul Islam, Hyeong-Joo Kim, et al.
Advances in Space Research (2024) Vol. 73, Iss. 12, pp. 5925-5948
Closed Access | Times Cited: 3
Effects of DEM resolution and application of solely DEM-derived indicators on groundwater potential mapping in the mountainous area
Hanxiang Xiong, Shilong Yang, Jiayao Tan, et al.
Journal of Hydrology (2024) Vol. 636, pp. 131349-131349
Closed Access | Times Cited: 3
Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks
Fatemeh Rezaiezadeh Roukerd, Mohammad Mahdi Rajabi
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 8
Closed Access | Times Cited: 3
Development of Ensemble Learning Techniques and Sequential Model-Based Optimization for Enhancing the Generalizability of Shale Wettability Predictions
Tianru Song, Zhu Weiyao, Bin Pan, et al.
Marine and Petroleum Geology (2024) Vol. 168, pp. 107010-107010
Closed Access | Times Cited: 3
Surface water potential zones delineation and spatiotemporal variation characteristics of water pollution and the cause of pollution formation in Brahmani River Basin, Odisha
Abhijeet Das
HydroResearch (2024) Vol. 8, pp. 99-112
Open Access | Times Cited: 3
Efficient super-resolution of pipeline transient process modeling using the Fourier Neural Operator
Junhua Gong, Guoyun Shi, Shaobo Wang, et al.
Energy (2024) Vol. 302, pp. 131676-131676
Closed Access | Times Cited: 2
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