The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques
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Citations
Cites
Abrahim, G. M. S., & Parker, R. J. (2007) · Environmental Monitoring and Assessment · doi:10.1007/s10661-007-9678-2 · Cited by 1,415
Varol, M. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2011.08.051 · Cited by 1,070
Effects of sediment geochemical properties on heavy metal bioavailability
Zhang, C., Yu, Z.-G., Zeng, G.-M., Jiang, M., Yang, Z.-Z., Cui, F., Zhu, M.-Y., Shen, L.-Q., & Hu, L. (2014) · Environment International · doi:10.1016/j.envint.2014.08.010 · Cited by 909
Global inventory of natural and anthropogenic emissions of trace metals to the atmosphere
NRIAGU, J. O. (1979) · Nature · doi:10.1038/279409a0 · Cited by 825
Heavy metal distribution and chemical speciation in tailings and soils around a Pb–Zn mine in Spain
Rodríguez, L., Ruiz, E., Alonso-Azcárate, J., & Rincón, J. (2009) · Journal of Environmental Management · doi:10.1016/j.jenvman.2008.04.007 · Cited by 736
Sundaray, S. K., Nayak, B. B., Lin, S., & Bhatta, D. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.12.081 · Cited by 731
Loska, K., & Wiechuła, D. (2003) · Chemosphere · doi:10.1016/s0045-6535(03)00187-5 · Cited by 700
Sun, Y., Zhou, Q., Xie, X., & Liu, R. (2010) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2009.09.074 · Cited by 681
Chemical Fractionation of Cadmium, Copper, Nickel, and Zinc in Contaminated Soils
Ma, L. Q., & Rao, G. N. (1997) · Journal of Environmental Quality · doi:10.2134/jeq1997.00472425002600010036x · Cited by 662
Zhang, W., Feng, H., Chang, J., Qu, J., Xie, H., & Yu, L. (2009) · Environmental Pollution · doi:10.1016/j.envpol.2009.01.007 · Cited by 594
Cited by
Wang, L., Wang, Y., Ma, F., Tankpa, V., Bai, S., Guo, X., & Wang, X. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.03.011 · Cited by 493
Chen, L., Zhou, S., Shi, Y., Wang, C., Li, B., Li, Y., & Wu, S. (2018) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.09.230 · Cited by 312
Ullah, M. H., & Rahman, M. J. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e36869 · Cited by 46
“It may even enter the food chain, causing extensive damage to aquatic fauna and flora and disrupting ecological balance [13,14].”
BackgroundZhang, Z., Huang, Y., Zhu, Z., Yu, M., Gu, L., Wang, X., Liu, Y., & Wang, R. (2022) · Environmental Pollution · doi:10.1016/j.envpol.2022.120024 · Cited by 34
Self-citation
Metadata
- Authors
- Ma, X., Zuo, H., Tian, M., Zhang, L., Meng, J., Zhou, X., Min, N., Chang, X., & Liu, Y.
- Venue
- Chemosphere
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 144
- Pages
- 264-272
- ISSN
- 0045-6535 (ISSN-L)
- OpenAlex
- W1610177903
- Cited by
- 405
- References
- 36
- FWCI
- 19.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques. https://app.cochat.ai/papers/10.1016/j.chemosphere.2015.08.026
- The paper
- Ma, X., Zuo, H., Tian, M., Zhang, L., Meng, J., Zhou, X., Min, N., Chang, X., & Liu, Y. (2016). Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques. Chemosphere. https://doi.org/10.1016/j.chemosphere.2015.08.026
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
