The DOI matches its Crossref record.
Improving urban mining practices for optimal recovery of resources from e-waste
Open accessAbstract
Abstract In this article, current progress in urban mining related to e-waste recycling is reviewed and associated state-of-the-art recycling technologies are evaluated. As sufficient volume of e-waste is a limiting factor for its recycling economy, the need for the establishment of effective e-waste collection mechanisms, particularly for small sized End-of-Life (EoL) devices, is emphasized in terms of the need for effective government policies, increased public awareness, economic incentives, establishing industry-funded co-regulatory agreements, etc. Feasible options for e-waste recycling through pyro- and hydro-metallurgical process routes are reviewed. Deficiencies in e-waste recycling chains are highlighted, and recommendations to improve the current very low collection rate of small sized EoL devices such as mobile phones are made. Optimization of the recovery of the critical metals and energy through different processing options is discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Or, T., Gourley, S. W. D., Kaliyappan, K., Yu, A., & Chen, Z. (2020) · Carbon Energy · doi:10.1002/cey2.29 · Cited by 559
Golmohammadzadeh, R., Faraji, F., & Rashchi, F. (2018) · Resources, Conservation and Recycling · doi:10.1016/j.resconrec.2018.04.024 · Cited by 478
Urban Mining of E-Waste is Becoming More Cost-Effective Than Virgin Mining
Zeng, X., Mathews, J. A., & Li, J. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.7b04909 · Cited by 428
Martins, L. S., Guimarães, L. F., Botelho Junior, A. B., Tenório, J. A. S., & Espinosa, D. C. R. (2021) · Journal of Environmental Management · doi:10.1016/j.jenvman.2021.113091 · Cited by 361
Meshram, P., Mishra, A., Abhilash, & Sahu, R. (2020) · Chemosphere · doi:10.1016/j.chemosphere.2019.125291 · Cited by 353
Metadata
- Authors
- Tesfaye, F., Lindberg, D., Hamuyuni, J., Taskinen, P., & Hupa, L.
- Venue
- Minerals Engineering
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 111
- Pages
- 209-221
- ISSN
- 0892-6875 (ISSN-L)
- OpenAlex
- W2729968803
- Cited by
- 173
- References
- 0
- FWCI
- 10.67
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improving urban mining practices for optimal recovery of resources from e-waste. https://app.cochat.ai/papers/10.1016/j.mineng.2017.06.018
- The paper
- Tesfaye, F., Lindberg, D., Hamuyuni, J., Taskinen, P., & Hupa, L. (2017). Improving urban mining practices for optimal recovery of resources from e-waste. Minerals Engineering. https://doi.org/10.1016/j.mineng.2017.06.018
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.