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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:

Inverse method using boosted regression tree and k-nearest neighbor to quantify effects of point and non-point source nitrate pollution in groundwater
Alireza Motevalli, Seyed Amir Naghibi, Hossein Hashemi, et al.
Journal of Cleaner Production (2019) Vol. 228, pp. 1248-1263
Closed Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Data-Driven Machine Learning in Environmental Pollution: Gains and Problems
Xian Liu, Dawei Lü, Aiqian Zhang, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 4, pp. 2124-2133
Closed Access | Times Cited: 295
Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction
Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, et al.
Water Resources Management (2020) Vol. 35, Iss. 1, pp. 23-37
Closed Access | Times Cited: 215
A comparative analysis of statistical and machine learning techniques for mapping the spatial distribution of groundwater salinity in a coastal aquifer
Hossein Sahour, Vahid Gholami, Mehdi Vazifedan
Journal of Hydrology (2020) Vol. 591, pp. 125321-125321
Closed Access | Times Cited: 158
Groundwater vulnerability assessment using GIS-based DRASTIC model in Nangasai River Basin, India with special emphasis on agricultural contamination
Amit Bera, Bhabani Prasad Mukhopadhyay, Puja Chowdhury, et al.
Ecotoxicology and Environmental Safety (2021) Vol. 214, pp. 112085-112085
Open Access | Times Cited: 107
Application of novel data-mining technique based nitrate concentration susceptibility prediction approach for coastal aquifers in India
Subodh Chandra Pal, Dipankar Ruidas, Asish Saha, et al.
Journal of Cleaner Production (2022) Vol. 346, pp. 131205-131205
Closed Access | Times Cited: 79
Optimization algorithms for modeling conversion and naphtha yield in the catalytic co-cracking of plastic in HVGO
A.G. Usman, Abdullah Aitani, Jamilu Usman, et al.
Process Safety and Environmental Protection (2025), pp. 106958-106958
Closed Access | Times Cited: 3
Improving groundwater quality predictions in semi-arid regions using ensemble learning models
Mojtaba Mahmoudi, Amin Mahdavi‐Meymand, Ammar Aldallal, et al.
Environmental Science and Pollution Research (2025)
Closed Access | Times Cited: 2
Groundwater nitrate response to hydrogeological conditions and socioeconomic load in an agriculture dominated area
Hui Jia, Hui Qian
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Measures for reducing nitrate leaching in orchards:A review
Meng Cui, Lihua Zeng, Wei Qin, et al.
Environmental Pollution (2020) Vol. 263, pp. 114553-114553
Closed Access | Times Cited: 118
Application of remote sensing techniques and machine learning algorithms in dust source detection and dust source susceptibility mapping
Mahdi Boroughani, Sima Pourhashemi, Hossein Hashemi, et al.
Ecological Informatics (2020) Vol. 56, pp. 101059-101059
Closed Access | Times Cited: 98
An evidence based integrated watershed modelling system to assess the impact of non-point source pollution in the riverine ecosystem
Srinivas Rallapalli, Ajit Pratap Singh, Kunal Dhadse, et al.
Journal of Cleaner Production (2019) Vol. 246, pp. 118963-118963
Closed Access | Times Cited: 88
Flood susceptibility assessment using extreme gradient boosting (EGB), Iran
Sajjad Mirzaei, Mehdi Vafakhah, Biswajeet Pradhan, et al.
Earth Science Informatics (2020) Vol. 14, Iss. 1, pp. 51-67
Closed Access | Times Cited: 82
Application of Advanced Machine Learning Algorithms to Assess Groundwater Potential Using Remote Sensing-Derived Data
Ehsan Kamali Maskooni, Seyed Amir Naghibi, Hossein Hashemi, et al.
Remote Sensing (2020) Vol. 12, Iss. 17, pp. 2742-2742
Open Access | Times Cited: 78
Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China
Qun’ou Jiang, Xu Lidan, Siyang Sun, et al.
Ecological Indicators (2021) Vol. 124, pp. 107356-107356
Open Access | Times Cited: 70
Integrated variable weight model and improved DRASTIC model for groundwater vulnerability assessment in a shallow porous aquifer
Hui Yu, Qiang Wu, Yifan Zeng, et al.
Journal of Hydrology (2022) Vol. 608, pp. 127538-127538
Closed Access | Times Cited: 63
Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods
Mehdi Jamei, Masoud Karbasi, Ismail Adewale Olumegbon, et al.
Journal of Molecular Liquids (2021) Vol. 335, pp. 116434-116434
Closed Access | Times Cited: 61
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Groundwater hydrogeochemical characterization and quality assessment based on integrated weight matter-element extension analysis in Ningxia, upper Yellow River, northwest China
Xiaodong Wang, Wende Zheng, Wei Tian, et al.
Ecological Indicators (2022) Vol. 135, pp. 108525-108525
Open Access | Times Cited: 49
APCS-MLR model: A convenient and fast method for quantitative identification of nitrate pollution sources in groundwater
Lu Yu, Tianyuan Zheng, Ruyu Yuan, et al.
Journal of Environmental Management (2022) Vol. 314, pp. 115101-115101
Closed Access | Times Cited: 48
Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques
Amit Bera, Bhabani Prasad Mukhopadhyay, Shubhamita Das
Chemosphere (2022) Vol. 307, pp. 135831-135831
Closed Access | Times Cited: 45
Random forest and nature-inspired algorithms for mapping groundwater nitrate concentration in a coastal multi-layer aquifer system
Quoc Bao Pham, Dang An Tran, Nam Thang Ha, et al.
Journal of Cleaner Production (2022) Vol. 343, pp. 130900-130900
Closed Access | Times Cited: 44
Assessment of influencing factors on non-point source pollution critical source areas in an agricultural watershed
Shuhui Wang, Yunqi Wang, Yujie Wang, et al.
Ecological Indicators (2022) Vol. 141, pp. 109084-109084
Open Access | Times Cited: 40
Study on groundwater pollution and its human impact analysis using geospatial techniques in semi-urban of south India
Vivek Sivakumar, R Umamaheswari, P Subashree, et al.
Environmental Research (2023) Vol. 240, pp. 117532-117532
Closed Access | Times Cited: 24
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: 12
Evaluation and comparison of the earth observing sensors in land cover/land use studies using machine learning algorithms
Pankaj Prasad, Victor J. Loveson, Priyankar Chandra, et al.
Ecological Informatics (2021) Vol. 68, pp. 101522-101522
Open Access | Times Cited: 54
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