Kaixu Bai

2.1k total citations
58 papers, 1.2k citations indexed

About

Kaixu Bai is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Kaixu Bai has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 21 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Kaixu Bai's work include Atmospheric chemistry and aerosols (30 papers), Air Quality and Health Impacts (21 papers) and Air Quality Monitoring and Forecasting (18 papers). Kaixu Bai is often cited by papers focused on Atmospheric chemistry and aerosols (30 papers), Air Quality and Health Impacts (21 papers) and Air Quality Monitoring and Forecasting (18 papers). Kaixu Bai collaborates with scholars based in China, United States and Taiwan. Kaixu Bai's co-authors include Ni‐Bin Chang, Wei Gao, Jianping Guo, Mingliang Ma, Chi-Farn Chen, Ke Li, Zhengqiang Li, Ni-Bin Chang, Ni-Bin Chang and Runhe Shi and has published in prestigious journals such as Remote Sensing of Environment, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Kaixu Bai

54 papers receiving 1.2k citations

Peers

Kaixu Bai
Jie Guang China
Meiling Gao China
Simone Kotthaus United Kingdom
Cheolhee Yoo South Korea
Deyong Hu China
Jamil Amanollahi Iran
Azizan Abu Samah Malaysia
Jie Guang China
Kaixu Bai
Citations per year, relative to Kaixu Bai Kaixu Bai (= 1×) peers Jie Guang

Countries citing papers authored by Kaixu Bai

Since Specialization
Citations

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

Fields of papers citing papers by Kaixu Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixu Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixu Bai. A scholar is included among the top collaborators of Kaixu Bai 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 Kaixu Bai. Kaixu Bai 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.
Bai, Kaixu, Zhe Zheng, Chaoshun Liu, et al.. (2025). SCAGAT: A scene-aware ensemble graph attention network for global PM2.5 pollution mapping via land–atmosphere interactions. ISPRS Journal of Photogrammetry and Remote Sensing. 225. 19–35. 1 indexed citations
2.
Li, Ruijie, et al.. (2025). Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network. International Journal of Applied Earth Observation and Geoinformation. 139. 104480–104480.
3.
Bai, Kaixu, He Chen, Yibing Sun, et al.. (2024). Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data. Remote Sensing of Environment. 304. 114039–114039. 9 indexed citations
4.
Bai, Kaixu, Xinran Li, Chaoshun Liu, et al.. (2024). LGHAP v2: a global gap-free aerosol optical depth and PM 2.5 concentration dataset since 2000 derived via big Earth data analytics. Earth system science data. 16(5). 2425–2448. 13 indexed citations
5.
Guo, Jianping, Jian Zhang, Tianmeng Chen, et al.. (2024). A merged continental planetary boundary layer height dataset based on high-resolution radiosonde measurements, ERA5 reanalysis, and GLDAS. Earth system science data. 16(1). 1–14. 13 indexed citations
6.
Bai, Kaixu, Ke Li, Jianping Guo, Wei Cheng, & Xiaofeng Xu. (2022). Do More Frequent Temperature Inversions Aggravate Haze Pollution in China?. Geophysical Research Letters. 49(4). 20 indexed citations
7.
Bai, Kaixu, Mingliang Ma, Jianping Guo, et al.. (2022). Spatially gap free analysis of aerosol type grids in China: First retrieval via satellite remote sensing and big data analytics. ISPRS Journal of Photogrammetry and Remote Sensing. 193. 45–59. 11 indexed citations
8.
Gao, Meng, Jianjun Li, Kaixu Bai, et al.. (2022). Optimal Planning of Air Quality-Monitoring Sites for Better Depiction of PM2.5 Pollution across China. PubMed. 2(4). 314–323. 7 indexed citations
9.
10.
Guo, Jianping, Boming Liu, Wei Gong, et al.. (2021). Technical note: First comparison of wind observations from ESA's satellite mission Aeolus and ground-based radar wind profiler network of China. Atmospheric chemistry and physics. 21(4). 2945–2958. 60 indexed citations
11.
Bai, Kaixu, et al.. (2021). Multi-source hierarchical data fusion for high-resolution AOD mapping in a forest fire event. International Journal of Applied Earth Observation and Geoinformation. 102. 102366–102366. 24 indexed citations
12.
13.
Bai, Kaixu, et al.. (2020). Validation and Calibration of CAMS PM2.5 Forecasts Using In Situ PM2.5 Measurements in China and United States. Remote Sensing. 12(22). 3813–3813. 25 indexed citations
14.
Chang, Ni‐Bin, et al.. (2020). A Comparative Assessment of Multisensor Data Merging and Fusion Algorithms for High-Resolution Surface Reflectance Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 4044–4059. 11 indexed citations
15.
Bai, Kaixu, et al.. (2020). A homogenized daily in situ PM 2.5 concentration dataset from the national air quality monitoring network in China. Earth system science data. 12(4). 3067–3080. 20 indexed citations
16.
Bai, Kaixu, Ke Li, Jianping Guo, Yuanjian Yang, & Ni‐Bin Chang. (2020). Filling the gaps of in situ hourly PM 2.5 concentration data with the aid of empirical orthogonal function analysis constrained by diurnal cycles. Atmospheric measurement techniques. 13(3). 1213–1226. 24 indexed citations
17.
Li, Ke & Kaixu Bai. (2019). Spatiotemporal Associations between PM2.5 and SO2 as well as NO2 in China from 2015 to 2018. International Journal of Environmental Research and Public Health. 16(13). 2352–2352. 18 indexed citations
18.
Bai, Kaixu, Mingliang Ma, Ni‐Bin Chang, & Wei Gao. (2018). Spatiotemporal trend analysis for fine particulate matter concentrations in China using high-resolution satellite-derived and ground-measured PM2.5 data. Journal of Environmental Management. 233. 530–542. 71 indexed citations
19.
Ma, Mingliang, Kaixu Bai, Fengxue Qiao, Runhe Shi, & Wei Gao. (2018). Quantifying impacts of crop residue burning in the North China Plain on summertime tropospheric ozone over East Asia. Atmospheric Environment. 194. 14–30. 14 indexed citations
20.
Bai, Kaixu, et al.. (2017). An intercomparison of multidecadal observational and reanalysis data sets for global total ozone trends and variability analysis. Journal of Geophysical Research Atmospheres. 122(13). 7119–7139. 11 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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