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:

Health risk assessment of heavy metal(loid)s in the farmland of megalopolis in China by using APCS-MLR and PMF receptor models: Taking Huairou District of Beijing as an example
Jinhang Wang, Hui‐Hui Wu, Wenxia Wei, et al.
The Science of The Total Environment (2022) Vol. 835, pp. 155313-155313
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Risk assessment and source apportionment for metals in sediments of Kaptai Lake in Bangladesh using individual and synergistic indices and a receptor model
Abu Reza Md. Towfiqul Islam, Memet Varol, Md. Ahosan Habib, et al.
Marine Pollution Bulletin (2023) Vol. 190, pp. 114845-114845
Closed Access | Times Cited: 42

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

A comprehensive study of source apportionment, spatial distribution, and health risks assessment of heavy metal(loid)s in the surface soils of a semi-arid mining region in Matehuala, Mexico
Arnab Saha, Bhaskar Sen Gupta, Sandhya Patidar, et al.
Environmental Research (2024) Vol. 260, pp. 119619-119619
Closed Access | Times Cited: 14

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 comprehensive approach for quantifying source-specific ecological and health risks of potentially toxic elements in agricultural soil
Limei Cai, Ke Quan, Han‐Hui Wen, et al.
Environmental Research (2024) Vol. 263, pp. 120163-120163
Closed Access | Times Cited: 8

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

Assessment of heavy metal pollution in the soil of a construction and demolition waste landfill
Amirhossein Balali, Sahar Gholami, Mohammadreza Javanmardi, et al.
Environmental Nanotechnology Monitoring & Management (2023) Vol. 20, pp. 100856-100856
Open Access | Times Cited: 18

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

Risk assessment of heavy metals in agricultural soil based on the coupling model of Monte Carlo simulation-triangular fuzzy number
Minsi Xiao, Lidan Qian, Bing Yang, et al.
Environmental Geochemistry and Health (2024) Vol. 46, Iss. 2
Closed Access | Times Cited: 6

An integrated framework for source apportionment and spatial distribution of mercury in agricultural soil near a primary ore mining site
Bin Zhao, David O’Connor, Yao-Hui Huang, et al.
Chemosphere (2024) Vol. 353, pp. 141556-141556
Closed Access | Times Cited: 6

Characteristics and correlation analysis of heavy metal distribution in China's freshwater aquaculture pond sediments
Shouzhuang Liu, Kaixuan Wu, Yao Lu, et al.
The Science of The Total Environment (2024) Vol. 931, pp. 172909-172909
Closed Access | Times Cited: 6

Analysis of heavy metal and arsenic sources in mangrove surface sediments at Wulishan Port on Leizhou Peninsula, China, using the APCS-MLR model
Suyan Deng, Songying Luo, Qiance Lin, et al.
Ecotoxicology and Environmental Safety (2024) Vol. 283, pp. 116788-116788
Open Access | Times Cited: 6

Contamination, Source Apportionment, and Health Risk Assessment of Heavy Metals in Farmland Soils Surrounding a Typical Copper Tailings Pond
Minsi Xiao, Shitong Xu, Bing Yang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 21, pp. 14264-14264
Open Access | Times Cited: 25

Estimation of heavy metal soil contamination distribution, hazard probability, and population at risk by machine learning prediction modeling in Guangxi, China
Bolun Zhang, Hong Hou, Zhanbin Huang, et al.
Environmental Pollution (2023) Vol. 330, pp. 121607-121607
Closed Access | Times Cited: 15

Priority sources identification and risks assessment of heavy metal(loid)s in agricultural soils of a typical antimony mining watershed
Lianhua Liu, You Li, Xiang Gu, et al.
Journal of Environmental Sciences (2023) Vol. 147, pp. 153-164
Closed Access | Times Cited: 15

Comprehensive assessment of soil and dust heavy metal(loid)s exposure scenarios at residential playgrounds in Beijing, China
Tianyue Peng, Bin Zhao, David O’Connor, et al.
The Science of The Total Environment (2023) Vol. 887, pp. 164144-164144
Closed Access | Times Cited: 14

Health risk assessment of trace metal(loid)s in agricultural soil using an integrated model combining soil-related and plants-accumulation exposures: A case study on Hainan Island, South China
Bigui Lin, Pan Pan, Chaoxian Wei, et al.
The Science of The Total Environment (2023) Vol. 896, pp. 165242-165242
Closed Access | Times Cited: 13

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

Identifying heavy metal sources and health risks in soil-vegetable systems of fragmented vegetable fields based on machine learning, positive matrix factorization model and Monte Carlo simulation
Jiacheng Shi, Yang Yu, Zhijie Shen, et al.
Journal of Hazardous Materials (2024) Vol. 478, pp. 135481-135481
Closed Access | Times Cited: 5

Source-oriented health risk of heavy metals in sediments: A case study of an industrial city in China
Hui‐Hui Wu, Yan Zhi, Qingcong Xiao, et al.
Ecotoxicology and Environmental Safety (2025) Vol. 292, pp. 117929-117929
Open Access

Contamination and source-specific health risk assessment of soil heavy metals in the middle and upper reaches of the Heihe River Basin of China
Jinlu Huang, Yuqiang Tian, Zhifeng Liu, et al.
Environmental Geochemistry and Health (2025) Vol. 47, Iss. 4
Closed Access

Spatial distribution, sources, and risk assessment of potentially toxic elements in cultivated soils using isotopic tracing techniques and Monte Carlo simulation
Jiawei Ma, Li Chen, Hansong Chen, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 259, pp. 115044-115044
Open Access | Times Cited: 10

Health Risk Assessment of Heavy Metals in Soil of Lalu Wetland Based on Monte Carlo Simulation and ACPS-MLR
Bo Yang, Wei Li, Jian Xiong, et al.
Water (2023) Vol. 15, Iss. 24, pp. 4223-4223
Open Access | Times Cited: 9

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