Jianbing Jin

830 total citations
34 papers, 397 citations indexed

About

Jianbing Jin is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jianbing Jin has authored 34 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 18 papers in Global and Planetary Change and 13 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jianbing Jin's work include Atmospheric chemistry and aerosols (26 papers), Air Quality and Health Impacts (13 papers) and Atmospheric aerosols and clouds (12 papers). Jianbing Jin is often cited by papers focused on Atmospheric chemistry and aerosols (26 papers), Air Quality and Health Impacts (13 papers) and Atmospheric aerosols and clouds (12 papers). Jianbing Jin collaborates with scholars based in China, Netherlands and United States. Jianbing Jin's co-authors include Hai Xiang Lin, Arjo Segers, Hong Liao, Arnold Heemink, Pinya Wang, Yang Yang, Weishou Shen, Wei Han, Hong Liao and Teng Wang and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Jianbing Jin

27 papers receiving 391 citations

Peers

Jianbing Jin
Bülent Oktay Akkoyunlu Türkiye
Kundan Lal Shrestha Nepal
Peter F. Caffrey United States
Shuhui Zhao China
Michał Gałkowski Poland
Roman Nuterman Denmark
Walter Ruijgrok Netherlands
Hossein Dadashazar United States
Neeru Jaiswal India
Bülent Oktay Akkoyunlu Türkiye
Jianbing Jin
Citations per year, relative to Jianbing Jin Jianbing Jin (= 1×) peers Bülent Oktay Akkoyunlu

Countries citing papers authored by Jianbing Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jianbing Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbing Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbing Jin. A scholar is included among the top collaborators of Jianbing Jin 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 Jianbing Jin. Jianbing Jin 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.
Hu, Kang, Hong Liao, Dantong Liu, et al.. (2025). A novel method for quantifying the contribution of regional transport to PM 2.5 in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis. Geoscientific model development. 18(12). 3623–3634. 1 indexed citations
2.
Yan, Shicheng, Yang Yang, Lili Ren, et al.. (2025). Impacts of reductions in anthropogenic aerosols and greenhouse gases toward carbon neutrality on dust pollution over the Northern Hemisphere dust belt. Atmospheric chemistry and physics. 25(22). 16877–16893.
3.
Jiang, Zhe, Jintai Lin, Tai‐Long He, et al.. (2025). Satellite-Based Emission Inversion for Air Pollutants and Greenhouse Gases: A Review. Journal of Meteorological Research. 39(5). 1101–1125. 1 indexed citations
4.
Liao, Hong, Hong Liao, Ke Li, et al.. (2025). Environmental burden and health inequity in China’s road-based express delivery. Nature Cities. 2(9). 825–834.
5.
Liao, Hong, Hong Liao, Ke Li, et al.. (2024). Unlocking nitrogen management potential via large-scale farming for air quality and substantial co-benefits. National Science Review. 11(10). nwae324–nwae324. 7 indexed citations
6.
Liu, Song, Jing Wei, Lei Shu, et al.. (2024). Short-Term Exposure to Fine Particulate Matter and Ozone: Source Impacts and Attributable Mortalities. Environmental Science & Technology. 58(26). 11256–11267. 9 indexed citations
7.
Li, Fang, Jianbing Jin, Arjo Segers, et al.. (2024). Observational operator for fair model evaluation with ground NO 2 measurements. Geoscientific model development. 17(22). 8267–8282.
8.
Jin, Jianbing, Arjo Segers, Wei Han, et al.. (2024). Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting. Geoscientific model development. 17(22). 8223–8242. 1 indexed citations
9.
Liao, Hong, Ke Li, Xu Yue, et al.. (2023). Composited analyses of the chemical and physical characteristics of co-polluted days by ozone and PM 2.5 over 2013–2020 in the Beijing–Tianjin–Hebei region. Atmospheric chemistry and physics. 23(1). 23–39. 20 indexed citations
10.
Jin, Jianbing, et al.. (2023). Dust storm forecasting through coupling LOTOS-EUROS with localized ensemble Kalman filter. Atmospheric Environment. 306. 119831–119831. 1 indexed citations
11.
12.
Jin, Jianbing, et al.. (2023). A decadal atmospheric ammonia reanalysis product in China. The Science of The Total Environment. 912. 169053–169053.
13.
Li, Huimin, Yang Yang, Jianbing Jin, et al.. (2023). Climate-driven deterioration of future ozone pollution in Asia predicted by machine learning with multi-source data. Atmospheric chemistry and physics. 23(2). 1131–1145. 26 indexed citations
14.
Jin, Jianbing, Arjo Segers, Wei Han, et al.. (2022). Inverse modeling of the 2021 spring super dust storms in East Asia. Atmospheric chemistry and physics. 22(10). 6393–6410. 34 indexed citations
15.
Li, Fang, Jianbing Jin, Arjo Segers, et al.. (2022). Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China. Geoscientific model development. 15(20). 7791–7807. 8 indexed citations
16.
Liao, Hong, Lei Chen, Weishou Shen, et al.. (2021). Improved gridded ammonia emission inventory in China. Atmospheric chemistry and physics. 21(20). 15883–15900. 64 indexed citations
17.
Jin, Jianbing, Arjo Segers, Hai Xiang Lin, et al.. (2021). Position correction in dust storm forecasting using LOTOS-EUROS v2.1: grid-distorted data assimilation v1.0. Geoscientific model development. 14(9). 5607–5622. 7 indexed citations
18.
Jin, Jianbing, Arjo Segers, Hong Liao, et al.. (2020). Source backtracking for dust storm emission inversion using an adjoint method: case study of Northeast China. Atmospheric chemistry and physics. 20(23). 15207–15225. 8 indexed citations
19.
Jin, Jianbing, Arjo Segers, Arnold Heemink, et al.. (2019). Dust Emission Inversion Using Himawari‐8 AODs Over East Asia: An Extreme Dust Event in May 2017. Journal of Advances in Modeling Earth Systems. 11(2). 446–467. 25 indexed citations
20.
Jin, Jianbing, Hai Xiang Lin, Arjo Segers, Yu Xie, & Arnold Heemink. (2019). Machine learning for observation bias correction with application to dust storm data assimilation. Atmospheric chemistry and physics. 19(15). 10009–10026. 42 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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