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:

A comprehensive framework for identifying contributing factors of soil trace metal pollution using Geodetector and spatial bivariate analysis
Hangyuan Shi, Peng Wang, Jiatong Zheng, et al.
The Science of The Total Environment (2022) Vol. 857, pp. 159636-159636
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Application of geographical detector and geographically weighted regression for assessing landscape ecological risk in the Irtysh River Basin, Central Asia
Mingrui Li, Jilili Abuduwaili, Wenzhao Liu, et al.
Ecological Indicators (2024) Vol. 158, pp. 111540-111540
Open Access | Times Cited: 33
Ecological risk, source apportionment, and influencing factors of heavy metals in soil in a typical lead-zinc mining watershed, Guangxi, China
Yongxing Pan, Meng Chen, Xiaotong Wang, et al.
Journal of environmental chemical engineering (2024) Vol. 12, Iss. 3, pp. 112731-112731
Closed Access | Times Cited: 19
Exploring the environmental risks and seasonal variations of potentially toxic elements (PTEs) in fine road dust in resource-based cities based on Monte Carlo simulation, geo-detector and random forest model
Y. Richard Yang, Xinwei Lu, Bo Yu, et al.
Journal of Hazardous Materials (2024) Vol. 473, pp. 134708-134708
Closed Access | Times Cited: 18
Spatiotemporal Variation and Driving Factors of Carbon Sequestration Rate in Terrestrial Ecosystems of Ningxia, China
Yi Zhang, Chunxiao Cheng, Zhihui Wang, et al.
Land (2025) Vol. 14, Iss. 1, pp. 94-94
Open Access | Times Cited: 2
Source-specific risk judgement and environmental impact of potentially toxic elements in fine road dust from an integrated industrial city, North China
Y. Richard Yang, Xinwei Lu, Bo Yu, et al.
Journal of Hazardous Materials (2023) Vol. 458, pp. 131982-131982
Closed Access | Times Cited: 28
Health risk assessment of heavy metals based on source analysis and Monte Carlo in the downstream basin of the Zishui
Xinyue Dai, Jiahui Liang, Huading Shi, et al.
Environmental Research (2023) Vol. 245, pp. 117975-117975
Closed Access | Times Cited: 24
Identifying interactive effects of spatial drivers in soil heavy metal pollutants using interpretable machine learning models
Deyu Duan, Peng Wang, Xin Rao, et al.
The Science of The Total Environment (2024) Vol. 934, pp. 173284-173284
Closed Access | Times Cited: 13
A novel integrated Urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method
Chuanxing Zheng, Weichao Yang, Xuelian Jiang, et al.
Journal of Environmental Management (2024) Vol. 354, pp. 120308-120308
Closed Access | Times Cited: 12
Estimation of PM2.5 Concentration across China Based on Multi-Source Remote Sensing Data and Machine Learning Methods
Yujie Yang, Zhige Wang, Chunxiang Cao, et al.
Remote Sensing (2024) Vol. 16, Iss. 3, pp. 467-467
Open Access | Times Cited: 11
Source Apportionment and Analysis of Potentially Toxic Element Sources in Agricultural Soils Based on the Positive Matrix Factorization and Geo-Detector Models
Xu Liu, Zhongfang Yang, Bo Li, et al.
Land (2025) Vol. 14, Iss. 1, pp. 146-146
Open Access | Times Cited: 1
Identification of the primary pollution sources and dominant influencing factors of soil heavy metals using a random forest model optimized by genetic algorithm coupled with geodetector
Tong Liu, Mingshi Wang, Mingya Wang, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 290, pp. 117731-117731
Open Access | Times Cited: 1
Spatial distribution and source identification of potentially toxic elements in Yellow River Delta soils, China: An interpretable machine-learning approach
Mengge Zhou, Yonghua Li
The Science of The Total Environment (2023) Vol. 912, pp. 169092-169092
Closed Access | Times Cited: 16
Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions
Ahmed Abbas Jasim Al-Hchaimi, Mohammed F. Alomari, Yousif Raad Muhsen, et al.
Lecture notes in networks and systems (2024), pp. 1-25
Closed Access | Times Cited: 7
Soil type data provide new methods and insights for heavy metal pollution assessment and driving factors analysis
Wentao Zhou, Zhen Li, Yunjia Liu, et al.
Journal of Hazardous Materials (2024) Vol. 480, pp. 135868-135868
Closed Access | Times Cited: 6
Differentiating environmental scenarios to establish geochemical baseline values for heavy metals in soil: A case study of Hainan Island, China
Yanling Sun, Jianzhou Yang, Kai Li, et al.
The Science of The Total Environment (2023) Vol. 898, pp. 165634-165634
Closed Access | Times Cited: 13
Source apportionment and risk assessment of soil heavy metals in the Huangshui River Basin using a hybrid model
Wentao Zhou, Ruyue Yu, Fenghao Guo, et al.
Ecological Indicators (2024) Vol. 160, pp. 111906-111906
Open Access | Times Cited: 5
Determination of high-risk factors and related spatially influencing variables of heavy metals in groundwater
Huanhuan Shi, Yao Du, Yueping Li, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120853-120853
Closed Access | Times Cited: 5
Utilizing machine learning to evaluate heavy metal pollution in the world's largest mangrove forest
Ram Proshad, Md. Abdur Rahim, Mahfuzur Rahman, et al.
The Science of The Total Environment (2024) Vol. 951, pp. 175746-175746
Closed Access | Times Cited: 5
Resilience Patterns of Multiscale Human Mobility Under Extreme Rainfall Events Using Massive Individual Trajectory Data
Yao Yao, Lin Liang, Yatao Zhang, et al.
Annals of the American Association of Geographers (2025), pp. 1-25
Open Access
Assessment of Potentially Toxic Elements Contamination in Water and Sediments from Vembanad Lake, Kerala, India: In Accounts with the Influence of its Major In Flow Rivers
Anju Maria Joseph, M. Suresh Gandhi
International Journal of Environmental Research (2025) Vol. 19, Iss. 2
Closed Access
Advanced Integrative Analytics for Data-Driven Risk Assessment of Ecological and Human Health Risks from Heavy Metal Contaminations in Soil
Ujala Ejaz, Shujaul Mulk Khan, Shah Fahad Ali Shah, et al.
Journal of Hazardous Materials Advances (2025), pp. 100596-100596
Open Access
Effects of geographical and soil factors on soilś arsenic levels: a case study in typical arsenic-contaminated paddy fields based on machine learning
Renjie Zhang, Lai Jiang, Tianhao Dong, et al.
Environmental Management (2025)
Closed Access
Identifying influence factors and thresholds of the next day's pollen concentration in different seasons using interpretable machine learning
Junhong Zhong, Rongbo Xiao, Peng Wang, et al.
The Science of The Total Environment (2024) Vol. 935, pp. 173430-173430
Closed Access | Times Cited: 3
Spatial distribution, risk assessment, and source apportionment of soil heavy metals in a karst county based on grid survey
Zhaoxin Hu, Zeyan Wu, Weiqun Luo, et al.
The Science of The Total Environment (2024) Vol. 953, pp. 176049-176049
Closed Access | Times Cited: 3
Accumulation of Heavy Metal Ions from Urban Soil in Spontaneous Flora
Maria Harja, Ramona Carla Ciocintã, Gabrijel Ondrašek, et al.
Water (2023) Vol. 15, Iss. 4, pp. 768-768
Open Access | Times Cited: 7
Page 1 - Next Page

Scroll to top