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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:

Ozone formation sensitivity study using machine learning coupled with the reactivity of volatile organic compound species
Junlei Zhan, Yongchun Liu, Wei Ma, et al.
Atmospheric measurement techniques (2022) Vol. 15, Iss. 5, pp. 1511-1520
Open Access | Times Cited: 18

Showing 18 citing articles:

Explainable ensemble machine learning revealing the effect of meteorology and sources on ozone formation in megacity Hangzhou, China
Lei Zhang, Lili Wang, Dan Ji, et al.
The Science of The Total Environment (2024) Vol. 922, pp. 171295-171295
Closed Access | Times Cited: 15
Air pollution prediction using machine learning techniques – An approach to replace existing monitoring stations with virtual monitoring stations
Abdul Samad, S. Garuda, Ulrich Vogt, et al.
Atmospheric Environment (2023) Vol. 310, pp. 119987-119987
Open Access | Times Cited: 32
Research on ozone formation sensitivity based on observational methods: Development history, methodology, and application and prospects in China
Wanghui Chu, Hong Li, Yuanyuan Ji, et al.
Journal of Environmental Sciences (2023) Vol. 138, pp. 543-560
Closed Access | Times Cited: 29
Slower than expected reduction in annual PM2.5 in Xi'an revealed by machine learning-based meteorological normalization
Meng Wang, Zhuozhi Zhang, Qi Yuan, et al.
The Science of The Total Environment (2022) Vol. 841, pp. 156740-156740
Closed Access | Times Cited: 29
The contribution of industrial emissions to ozone pollution: identified using ozone formation path tracing approach
Junlei Zhan, Wei Ma, Boying Song, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 17
Machine learning coupled structure mining method visualizes the impact of multiple drivers on ambient ozone
Xu Han, Haofei Yu, Bo Xu, et al.
Communications Earth & Environment (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 17
Causal-Inference Machine Learning Reveals the Drivers of China’s 2022 Ozone Rebound
Lin Wang, Baihua Chen, Jingyi Ouyang, et al.
Environmental Science and Ecotechnology (2025) Vol. 24, pp. 100524-100524
Open Access
Machine learning-based analysis of workers' exposure and detection to volatile organic compounds (VOC)
Abdelrahman Eid, Shehdeh Jodeh, A. Chakir, et al.
International Journal of Environmental Science and Technology (2025)
Closed Access
Elucidating Ozone Formation Mechanisms in the Central Yangtze River Delta Region, China: Urban and Rural Differences
Zhiqiang Liu, Wei Xu, Shengnan Zhu, et al.
Environmental Pollution (2025), pp. 125979-125979
Closed Access
Machine Learning Reveals the Parameters Affecting the Gaseous Sulfuric Acid Distribution in a Coastal City: Model Construction and Interpretation
Chen Yang, Hesong Dong, Yuping Chen, et al.
Environmental Science & Technology Letters (2023) Vol. 10, Iss. 11, pp. 1045-1051
Closed Access | Times Cited: 12
Predicting ozone formation in petrochemical industrialized Lanzhou city by interpretable ensemble machine learning
Li Wang, Yuan Zhao, Jinsen Shi, et al.
Environmental Pollution (2022) Vol. 318, pp. 120798-120798
Closed Access | Times Cited: 21
Roles of photochemical consumption of VOCs on regional background O3 concentration and atmospheric reactivity over the pearl river estuary, Southern China
Jiayin Sun, Xiaoyu Yu, Zhenhao Ling, et al.
The Science of The Total Environment (2024) Vol. 928, pp. 172321-172321
Closed Access | Times Cited: 2
A machine learning approach to investigate the build-up of surface ozone in Mexico-City
Mateen Ahmad, B. Rappenglück, Olabosipo Osibanjo, et al.
Journal of Cleaner Production (2022) Vol. 379, pp. 134638-134638
Closed Access | Times Cited: 11
The role of NOx in Co-occurrence of O3 and PM2.5 pollution driven by wintertime east Asian monsoon in Hainan
Junlei Zhan, Feixue Zheng, Rongfu Xie, et al.
Journal of Environmental Management (2023) Vol. 345, pp. 118645-118645
Closed Access | Times Cited: 5
Low- and Medium-Cost Sensors for Tropospheric Ozone Monitoring—Results of an Evaluation Study in Wrocław, Poland
Marek Badura, Piotr Batog, Anetta Drzeniecka-Osiadacz, et al.
Atmosphere (2022) Vol. 13, Iss. 4, pp. 542-542
Open Access | Times Cited: 9
Challenges in Observation of Ultrafine Particles: Addressing Estimation Miscalculations and the Necessity of Temporal Trends
Tzu-Chi Lin, Pei-Te Chiueh, Ta-Chih Hsiao
Environmental Science & Technology (2024)
Open Access
Prediction of Air Quality Index using genetic programming
Quyen Chu Thi, Ngo Thi Thanh Hoa, Nguyen Thi Cam Ngoan
Journal of Military Science and Technology (2023) Vol. 91, pp. 85-95
Closed Access | Times Cited: 1
Slower than Expected Reduction in Annual Pm2.5 in Northwest China Revealed by Machine Learning-Based Meteorological Normalization
Meng Wang, Zhuozhi Zhang, Qi Yuan, et al.
SSRN Electronic Journal (2022)
Closed Access
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