Top-down estimates of anthropogenic NO(x) emissions over China through a new zone-stratified RF machine learning model.
- DOI
- 10.1016/j.envpol.2026.128202
- Published
- 2026 Jul 1
- Container
- Environmental pollution (Barking, Essex : 1987)
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.envpol.2026.128202,
title = {Top-down estimates of anthropogenic NO(x) emissions over China through a new zone-stratified RF machine learning model.},
author = {Huang Y and Wang Y and Wang J and Tao M and Zhou M and Kim J and Wang L},
year = {2026},
journal = {Environmental pollution (Barking, Essex : 1987)},
doi = {10.1016/j.envpol.2026.128202},
url = {https://doi.org/10.1016/j.envpol.2026.128202}
}RIS
TY - JOUR TI - Top-down estimates of anthropogenic NO(x) emissions over China through a new zone-stratified RF machine learning model. AU - Huang Y AU - Wang Y AU - Wang J AU - Tao M AU - Zhou M AU - Kim J AU - Wang L PY - 2026 JO - Environmental pollution (Barking, Essex : 1987) DO - 10.1016/j.envpol.2026.128202 UR - https://doi.org/10.1016/j.envpol.2026.128202 ER -
APA
Y, H., Y, W., J, W., M, T., M, Z., J, K., & L, W. (2026). Top-down estimates of anthropogenic NO(x) emissions over China through a new zone-stratified RF machine learning model.. Environmental pollution (Barking, Essex : 1987). https://doi.org/10.1016/j.envpol.2026.128202
Source records
- pubmed · retrieved 2026-09-26T10:54:59.043Z