Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Application of VNIR and machine learning technologies to predict heavy metals in soil and pollution indices in mining areas
Yingyi Wang, Yongcun Zhao, Shengxiang Xu
Journal of Soils and Sediments (2022) Vol. 22, Iss. 10, pp. 2777-2791
Closed Access | Times Cited: 10

Showing 10 citing articles:

Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches
Abdul Majed Sajib, Mir Talas Mahammad Diganta, Md Moniruzzaman, et al.
Ecological Informatics (2024) Vol. 80, pp. 102514-102514
Open Access | Times Cited: 37
Tracking the impact of heavy metals on human health and ecological environments in complex coastal aquifers using improved machine learning optimization
Abdulhayat M. Jibrin, Sani I. Abba, Jamilu Usman, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 40, pp. 53219-53236
Closed Access | Times Cited: 4
Exploring Soil Pollution Patterns in Ghana's Northeastern Mining Zone using Machine Learning Models
Daniel Kwayisi, Raymond Webrah Kazapoe, Seidu Alidu, et al.
Journal of Hazardous Materials Advances (2024), pp. 100480-100480
Open Access | Times Cited: 4
Prediction of Soil Pollution Using Machine Learning Methods in Absheron Peninsula
Maya Abdullayeva, Tunzala Babayeva, Shebnem Dadashova
Lecture notes in networks and systems (2025), pp. 215-223
Closed Access
Tailings Pond Classification Based on Satellite Images and Machine Learning: An Exploration of Microsoft ML.Net
Haoxuan Yu, Izni Zahidi
Mathematics (2023) Vol. 11, Iss. 3, pp. 517-517
Open Access | Times Cited: 9
Estimation of the Multielement Content in Rocks Based on a Combination of Visible–Near-Infrared Reflectance Spectroscopy and Band Index Analysis
Guo Jiang, Xi Chen, Jinlin Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3591-3591
Open Access | Times Cited: 3
Applying machine learning to model radon using topsoil geochemistry
Méabh Banríon, M. Cobelli, Quentin Crowley
Applied Geochemistry (2023) Vol. 158, pp. 105790-105790
Open Access | Times Cited: 2
Trace metal content prediction along an AMD (acid mine drainage)-contaminated stream draining a coal mine using VNIR–SWIR spectroscopy
Jamie-Leigh Robin Abrahams, Emmanuel John M. Carranza
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 11
Open Access | Times Cited: 2
Tree-based machine learning models for enhanced large-scale soil Mn classification by integrating visible-near infrared spectroscopy
Chongchong Qi, Min Zhou, Qiusong Chen, et al.
Journal of Soils and Sediments (2024) Vol. 24, Iss. 11, pp. 3668-3683
Closed Access
Heavy Metal Concentrations Prediction of Marine Sediments by Visible-near Infrared Spectroscopy Based on Attention Mechanism
Xueying Li, Huimin Qiu, Aizhong Ding, et al.
Journal of Hazardous Materials (2024) Vol. 484, pp. 136729-136729
Closed Access
Page 1

Scroll to top