Kai Qin

3.1k total citations · 1 hit paper
142 papers, 2.1k citations indexed

About

Kai Qin is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kai Qin has authored 142 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Atmospheric Science, 57 papers in Global and Planetary Change and 41 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kai Qin's work include Atmospheric chemistry and aerosols (64 papers), Air Quality and Health Impacts (38 papers) and Atmospheric Ozone and Climate (30 papers). Kai Qin is often cited by papers focused on Atmospheric chemistry and aerosols (64 papers), Air Quality and Health Impacts (38 papers) and Atmospheric Ozone and Climate (30 papers). Kai Qin collaborates with scholars based in China, Germany and United States. Kai Qin's co-authors include Lixin Wu, Shanjun Liu, Yang Bai, Jason Blake Cohen, Jian Xu, Ding Li, Angelo De Santis, Qin He, Limei Yuan and Yufeng Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Kai Qin

130 papers receiving 2.1k citations

Hit Papers

Ground-Level NO2Surveillance from Space Across China for ... 2022 2026 2023 2024 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence
    2022 188 citations Kai Qin, Jintai Lin et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Qin China 26 968 813 806 670 387 142 2.1k
H. S. Lim Malaysia 20 460 0.5× 232 0.3× 782 1.0× 793 1.2× 129 0.3× 199 1.8k
Bo Galle Sweden 23 851 0.9× 149 0.2× 709 0.9× 313 0.5× 534 1.4× 63 1.8k
Ye Yu China 30 2.2k 2.2× 2.1k 2.6× 909 1.1× 1.2k 1.8× 49 0.1× 81 3.2k
Ya Xu China 23 286 0.3× 283 0.3× 119 0.1× 168 0.3× 620 1.6× 120 1.6k
Ritesh Gautam United States 33 3.0k 3.1× 674 0.8× 3.2k 4.0× 414 0.6× 80 0.2× 74 4.0k
Thomas Lauvaux United States 34 2.5k 2.5× 662 0.8× 3.2k 4.0× 819 1.2× 26 0.1× 122 3.7k
Yungang Wang China 23 1.4k 1.4× 2.1k 2.5× 568 0.7× 1.1k 1.6× 174 0.4× 44 2.8k
Erika Brattich Italy 18 382 0.4× 318 0.4× 434 0.5× 250 0.4× 49 0.1× 65 997
Qingchun Guo China 21 309 0.3× 444 0.5× 339 0.4× 642 1.0× 27 0.1× 41 1.2k
Nicolas Bukowiecki Switzerland 33 2.1k 2.2× 2.0k 2.4× 1.2k 1.5× 698 1.0× 50 0.1× 59 3.2k

Countries citing papers authored by Kai Qin

Since Specialization
Citations

This map shows the geographic impact of Kai Qin'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 Kai Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Qin more than expected).

Fields of papers citing papers by Kai Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Qin. 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 Kai Qin. The network helps show where Kai Qin may publish in the future.

Co-authorship network of co-authors of Kai Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Qin. A scholar is included among the top collaborators of Kai Qin 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 Kai Qin. Kai Qin 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.
2.
Cohen, Jason Blake, et al.. (2025). Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka. Communications Earth & Environment. 6(1). 9 indexed citations
3.
He, Qin, Hao Kong, Kai Qin, et al.. (2025). Declining short-term emission control opportunity for major events in Chinese cities. Nature Cities. 2(5). 434–446. 2 indexed citations
4.
5.
Liu, Jian, et al.. (2024). Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia. Communications Earth & Environment. 5(1). 12 indexed citations
6.
Qin, Kai, et al.. (2023). Model-free daily inversion of NOx emissions using TROPOMI (MCMFE-NOx) and its uncertainty: Declining regulated emissions and growth of new sources. Remote Sensing of Environment. 295. 113720–113720. 25 indexed citations
7.
Yan, Yangyang, Shasha Yin, Qin He, Kai Qin, & Ruiqin Zhang. (2022). [Trend Changes in Ozone Pollution and Sensitivity Analysis of Ozone in Henan Province].. PubMed. 43(6). 2947–2956.
8.
Qin, Kai, et al.. (2022). Aloft Transport of Haze Aerosols to Xuzhou, Eastern China: Optical Properties, Sources, Type, and Components. Remote Sensing. 14(7). 1589–1589. 8 indexed citations
9.
Li, Ding, et al.. (2022). Investigating the Long-Term Variation Trends of Absorbing Aerosols over Asia by Using Multiple Satellites. Remote Sensing. 14(22). 5832–5832. 4 indexed citations
10.
Li, Ding, et al.. (2022). Absorbing Aerosol Optical Depth From OMI/TROPOMI Based on the GBRT Algorithm and AERONET Data in Asia. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–10. 4 indexed citations
11.
Wang, Shuo, Xinying Wang, Jason Blake Cohen, & Kai Qin. (2021). Inferring Polluted Asian Absorbing Aerosol Properties Using Decadal Scale AERONET Measurements and a MIE Model. Geophysical Research Letters. 48(20). 17 indexed citations
12.
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Li, Donghui, Kai Qin, Jason Blake Cohen, et al.. (2021). Combing GOME-2B and OMI Satellite Data to Estimate Near-Surface NO2 of Mainland China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 10269–10277. 8 indexed citations
14.
Yuan, Qi, Jianzhong Xu, Lei Liu, et al.. (2020). Evidence for Large Amounts of Brown Carbonaceous Tarballs in the Himalayan Atmosphere. Environmental Science & Technology Letters. 8(1). 16–23. 47 indexed citations
15.
Li, Ding, Kai Qin, Lixin Wu, et al.. (2020). Himawari-8-Derived Aerosol Optical Depth Using an Improved Time Series Algorithm Over Eastern China. Remote Sensing. 12(6). 978–978. 11 indexed citations
16.
Qin, Kai, et al.. (2018). Haze Optical Properties from Long-Term Ground-Based Remote Sensing over Beijing and Xuzhou, China. Remote Sensing. 10(4). 518–518. 19 indexed citations
17.
Qin, Kai, et al.. (2017). Progress in Analysis to Remote Sensed Thermal Abnormity with Fault Activity and Seismogenic Process. SHILAP Revista de lepidopterología. 9 indexed citations
18.
Qin, Kai, et al.. (2017). A campaign for investigating aerosol optical properties during winter hazes over Shijiazhuang, China. Atmospheric Research. 198. 113–122. 37 indexed citations
19.
Qin, Kai, et al.. (2016). Particles size distributions and aerosol optical properties during haze-fog episodes in the winter of Xuzhou. China Environmental Science. 36(8). 2260–2269. 2 indexed citations
20.
Wu, Lixin, et al.. (2016). Geosphere coupling and hydrothermal anomalies before the 2009 M w  6.3 L'Aquila earthquake in Italy. Natural hazards and earth system sciences. 16(8). 1859–1880. 36 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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