Corrigendum: Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements

It has come to the attention of the publisher that the article, Liu, F., Liu, Z., Zhang, X., Liu, Z., and Liu, Y. (2025), “Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements”, Sensor Review, Vol. ahead-of-print No. ahead-of-print. Link to the cited article., omitted part of the funding information.The complete funding information is as follows:This work was supported by the Nanyang Major Special Project “Key Technologies for Reactive Compensation Energy Saving of Petrochemical Equipment and Industrial Application” (Project No. 22XTCX12005), the Natural Science Foundation of Henan (Grant No. 252300420919), the Science and Technology Planning Project of Nanyang (Grant No. 23JCQY2018), the Henan Provincial Natural Science Foundation (Grant no. 252300421932), Nanyang Major Special Project for Collaborative Innovation (Grant no. 22XTCX12005), Henan Province University-Enterprise Collaborative Innovation Project (Grant no. 26AXQXT079), Nanyang Major Science and Technology Special Project (Grant no. 25ZDZX010).The publisher asks that funding information be entered correctly at submission and confirmed at article proofing stage.

Publication Details

Journal
Sensor Review
Published
2026-01-29
DOI
https://doi.org/10.1108/sr-01-2026-0054
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
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article

Corrigendum: Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements

Sensor Review
Gas Sensing Nanomaterials and Sensors
article

Corrigendum: Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements

article en

Abstract

It has come to the attention of the publisher that the article, Liu, F., Liu, Z., Zhang, X., Liu, Z., and Liu, Y. (2025), “Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements”, Sensor Review, Vol. ahead-of-print No. ahead-of-print. Link to the cited article., omitted part of the funding information.The complete funding information is as follows:This work was supported by the Nanyang Major Special Project “Key Technologies for Reactive Compensation Energy Saving of Petrochemical Equipment and Industrial Application” (Project No. 22XTCX12005), the Natural Science Foundation of Henan (Grant No. 252300420919), the Science and Technology Planning Project of Nanyang (Grant No. 23JCQY2018), the Henan Provincial Natural Science Foundation (Grant no. 252300421932), Nanyang Major Special Project for Collaborative Innovation (Grant no. 22XTCX12005), Henan Province University-Enterprise Collaborative Innovation Project (Grant no. 26AXQXT079), Nanyang Major Science and Technology Special Project (Grant no. 25ZDZX010).The publisher asks that funding information be entered correctly at submission and confirmed at article proofing stage.

Sensor ReviewVol. 46(3)
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Gas Sensing Nanomaterials and Sensors
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Corrigendum: Machine learning-enhanced metal oxide gas sensor arrays: a review of selectivity and performance improvements · Sensor Review (2026) | TGRS Research Map | TGRS