Qin’geng Wang

2.9k total citations
72 papers, 2.2k citations indexed

About

Qin’geng Wang is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Qin’geng Wang has authored 72 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Health, Toxicology and Mutagenesis, 45 papers in Atmospheric Science and 23 papers in Environmental Engineering. Recurrent topics in Qin’geng Wang's work include Air Quality and Health Impacts (46 papers), Atmospheric chemistry and aerosols (41 papers) and Air Quality Monitoring and Forecasting (18 papers). Qin’geng Wang is often cited by papers focused on Air Quality and Health Impacts (46 papers), Atmospheric chemistry and aerosols (41 papers) and Air Quality Monitoring and Forecasting (18 papers). Qin’geng Wang collaborates with scholars based in China, United States and Japan. Qin’geng Wang's co-authors include Xin Qian, Huiming Li, Jinhua Wang, Meng Yang, Fengying Li, Huiming Li, Yoshiro Higano, Die Fang, Yan Lu and Yan Lu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Qin’geng Wang

66 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qin’geng Wang China 25 1.3k 907 564 378 340 72 2.2k
Ranu Gadi India 25 1.2k 0.9× 895 1.0× 404 0.7× 339 0.9× 428 1.3× 54 2.2k
Qiusheng He China 30 1.1k 0.9× 692 0.8× 367 0.7× 293 0.8× 595 1.8× 79 2.5k
Mukesh Sharma India 27 1.5k 1.1× 1.4k 1.5× 719 1.3× 615 1.6× 304 0.9× 89 2.9k
Elba Calesso Teixeira Brazil 33 1.6k 1.2× 824 0.9× 523 0.9× 181 0.5× 622 1.8× 86 2.9k
Kun Li China 30 1.0k 0.8× 889 1.0× 415 0.7× 331 0.9× 368 1.1× 157 2.7k
Chen Wang China 35 2.3k 1.8× 1.5k 1.6× 704 1.2× 406 1.1× 474 1.4× 144 3.5k
Abhijit Chatterjee India 29 1.0k 0.8× 1.1k 1.2× 434 0.8× 727 1.9× 225 0.7× 73 2.1k
Huang Zheng China 30 1.9k 1.5× 1.3k 1.5× 637 1.1× 675 1.8× 484 1.4× 118 2.8k
Yuqiang Zhang China 29 1.5k 1.2× 999 1.1× 616 1.1× 673 1.8× 203 0.6× 122 3.3k

Countries citing papers authored by Qin’geng Wang

Since Specialization
Citations

This map shows the geographic impact of Qin’geng Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qin’geng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin’geng Wang more than expected).

Fields of papers citing papers by Qin’geng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin’geng Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qin’geng Wang. The network helps show where Qin’geng Wang may publish in the future.

Co-authorship network of co-authors of Qin’geng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Qin’geng Wang. A scholar is included among the top collaborators of Qin’geng Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qin’geng Wang. Qin’geng Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Tijian, Qin’geng Wang, Mengmeng Li, et al.. (2025). Unveiling Spatiotemporal Differences and Responsive Mechanisms of Seamless Hourly Ozone in China Using Machine Learning. Remote Sensing. 17(13). 2318–2318.
2.
Wang, Qin’geng, et al.. (2025). Underestimated industrial ammonia emission in China uncovered by material flow analysis. Environmental Pollution. 368. 125740–125740.
3.
Li, Yasong, Tijian Wang, Qin’geng Wang, et al.. (2024). Deciphering the seasonal dynamics of multifaceted aerosol-ozone interplay: Implications for air quality management in Eastern China. The Science of The Total Environment. 946. 174327–174327. 3 indexed citations
4.
Li, Yasong, Tijian Wang, Qin’geng Wang, et al.. (2024). Exploring the role of aerosol-ozone interactions on O3 surge and PM2.5 decline during the clean air action period in Eastern China 2014–2020. Atmospheric Research. 302. 107294–107294. 10 indexed citations
5.
Shao, Min, et al.. (2024). Application of machine learning to analyze ozone sensitivity to influencing factors: A case study in Nanjing, China. The Science of The Total Environment. 929. 172544–172544. 13 indexed citations
6.
Li, Yasong, Tijian Wang, Qin’geng Wang, et al.. (2024). Impact of aerosol-radiation interaction and heterogeneous chemistry on the winter decreasing PM2.5 and increasing O3 in Eastern China 2014–2020. Journal of Environmental Sciences. 151. 469–483. 7 indexed citations
7.
Wang, Ou, et al.. (2024). Projected future changes in extreme precipitation over China under stratospheric aerosol intervention in the UKESM1 climate model. Atmospheric chemistry and physics. 24(21). 12355–12373. 4 indexed citations
8.
Zhang, Lei, et al.. (2024). Intercomparison of methods for atmospheric reactive mercury observations: Evidences to interpret what we are actually measuring. Atmospheric Environment. 333. 120637–120637. 2 indexed citations
10.
Liu, Rui, Min Shao, & Qin’geng Wang. (2024). Multi-timescale variation characteristics of PM2.5 in different regions of China during 2014–2022. The Science of The Total Environment. 920. 171008–171008. 8 indexed citations
11.
Li, Yasong, Tijian Wang, Qin’geng Wang, et al.. (2023). Spatiotemporal Variations of PM2.5 and O3 Relationship during 2014–2021 in Eastern China. Aerosol and Air Quality Research. 23(10). 230060–230060. 13 indexed citations
12.
Wang, Tijian, Qin’geng Wang, Danyang Ma, et al.. (2023). Assessment of HCHO in Beijing during 2009 to 2020 using satellite observation and numerical model: Spatial characteristic and impact factor. The Science of The Total Environment. 894. 165060–165060. 13 indexed citations
13.
Liu, Kaiyun, Qingru Wu, Shuxiao Wang, et al.. (2022). Improved atmospheric mercury simulation using updated gas-particle partition and organic aerosol concentrations. Journal of Environmental Sciences. 119. 106–118. 4 indexed citations
14.
Han, Han, Jane Liu, Tianliang Zhao, et al.. (2020). Impacts of atmospheric transport and biomass burning on the inter-annual variation in black carbon aerosols over the Tibetan Plateau. Atmospheric chemistry and physics. 20(21). 13591–13610. 19 indexed citations
15.
Li, Huiming, Jinhua Wang, Qin’geng Wang, et al.. (2015). Chemical fractionation of arsenic and heavy metals in fine particle matter and its implications for risk assessment: A case study in Nanjing, China. Atmospheric Environment. 103. 339–346. 128 indexed citations
16.
Wang, Qin’geng. (2011). An integrated method of atmospheric environmental capacity estimation for large-scale region.. China Environmental Science. 5 indexed citations
17.
Wang, Qin’geng. (2011). Research on the Visualization Representation Method of Air Quality Simulation Result Based on GIS. Geography and Geo-Information Science.
18.
Wang, Yixiang, et al.. (2010). Integration and application of GIS and atmospheric environment model.. The Research of Environmental Sciences. 23(5). 575–580.
19.
Wang, Qin’geng, et al.. (2009). Comparison of different schemes for diffusion parameterization based on AERMOD. China Environmental Science. 29(11). 1121–1127. 3 indexed citations
20.
Wang, Qin’geng. (2000). Initial allocation of emission rights for total quantity control areas. China Environmental Science. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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