Tai‐Long He

433 total citations
17 papers, 221 citations indexed

About

Tai‐Long He is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Tai‐Long He has authored 17 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 7 papers in Environmental Engineering. Recurrent topics in Tai‐Long He's work include Atmospheric chemistry and aerosols (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Air Quality Monitoring and Forecasting (7 papers). Tai‐Long He is often cited by papers focused on Atmospheric chemistry and aerosols (10 papers), Atmospheric and Environmental Gas Dynamics (9 papers) and Air Quality Monitoring and Forecasting (7 papers). Tai‐Long He collaborates with scholars based in China, United States and Canada. Tai‐Long He's co-authors include Kebiao Mao, Wendy Y. Chen, Yingying Ma, Xinyi Shen, Lei Xia, Tongren Xu, Zhe Jiang, Dylan B. A. Jones, Xiaokang Chen and Nicolas Grisouard and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Science of The Total Environment.

In The Last Decade

Tai‐Long He

16 papers receiving 217 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tai‐Long He China	9	152	116	65	51	27	17	221
Kristian D. Hajny United States	7	138 0.9×	163 1.4×	45 0.7×	36 0.7×		16	203
Martin Keller Germany	9	193 1.3×	117 1.0×	55 0.8×	41 0.8×		28	272
Alina Fiehn Germany	11	185 1.2×	208 1.8×	47 0.7×	25 0.5×		25	278
Ki‐Hong Min South Korea	12	272 1.8×	243 2.1×	54 0.8×	41 0.8×		39	348
Yanqing Xie China	12	265 1.7×	272 2.3×	67 1.0×	78 1.5×		30	345
Haofei Wang China	11	281 1.8×	249 2.1×	72 1.1×	100 2.0×		24	360
Makiko Nakata Japan	10	190 1.3×	197 1.7×	29 0.4×	46 0.9×		52	243
Daren Lv China	4	232 1.5×	224 1.9×	41 0.6×	49 1.0×		10	287
Yang Lv China	9	241 1.6×	239 2.1×	87 1.3×	90 1.8×		23	341

Countries citing papers authored by Tai‐Long He

Since Specialization

Citations

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

Fields of papers citing papers by Tai‐Long He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Long He. 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 Tai‐Long He. The network helps show where Tai‐Long He may publish in the future.

Co-authorship network of co-authors of Tai‐Long He

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Long He. A scholar is included among the top collaborators of Tai‐Long He 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 Tai‐Long He. Tai‐Long He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

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

Jiang, Zhe, et al.. (2025). Daily seamless dataset of HCHO concentrations: Vertical relationship between surface and column HCHO in China in 2019–2022. Atmospheric Environment. 362. 121546–121546.

He, Tai‐Long, et al.. (2025). FootNet v1.0: development of a machine learning emulator of atmospheric transport. Geoscientific model development. 18(5). 1661–1671. 1 indexed citations

He, Tai‐Long, et al.. (2025). High-resolution greenhouse gas flux inversions using a machine learning surrogate model for atmospheric transport. Atmospheric chemistry and physics. 25(10). 5159–5174. 2 indexed citations

Xu, Kangkang, et al.. (2024). A new online SOC estimation method using broad learning system and adaptive unscented Kalman filter algorithm. Energy. 309. 132920–132920. 9 indexed citations

He, Tai‐Long, et al.. (2024). Increased methane emissions from oil and gas following the Soviet Union’s collapse. Proceedings of the National Academy of Sciences. 121(12). e2314600121–e2314600121. 9 indexed citations

Chen, Xiaokang, Min Wang, Tai‐Long He, et al.. (2023). Data‐ and Model‐Based Urban O₃ Responses to NO_x Changes in China and the United States. Journal of Geophysical Research Atmospheres. 128(20). 7 indexed citations

Chen, Xiaokang, Zhe Jiang, Tai‐Long He, et al.. (2023). Meteorological and anthropogenic drivers of surface ozone change in the North China Plain in 2015–2021. The Science of The Total Environment. 906. 167763–167763. 17 indexed citations

He, Tai‐Long, Zhe Jiang, Rui Zhu, et al.. (2023). The Capability of Deep Learning Model to Predict Ozone Across Continents in China, the United States and Europe. Geophysical Research Letters. 50(24). 6 indexed citations

10.

He, Tai‐Long, et al.. (2022). A comparative analysis for a deep learning model (hyDL-CO v1.0) and Kalman filter to predict CO concentrations in China. Geoscientific model development. 15(10). 4225–4237. 13 indexed citations

11.

He, Tai‐Long, Dylan B. A. Jones, Kazuyuki Miyazaki, et al.. (2022). Inverse modelling of Chinese NO _x emissions using deep learning: integrating in situ observations with a satellite-based chemical reanalysis. Atmospheric chemistry and physics. 22(21). 14059–14074. 22 indexed citations

12.

He, Tai‐Long, et al.. (2022). A deep-learning estimate of the decadal trends in the Southern Ocean carbon storage. Nature Communications. 13(1). 4056–4056. 18 indexed citations

13.

He, Tai‐Long, Dylan B. A. Jones, Kazuyuki Miyazaki, et al.. (2022). Deep Learning to Evaluate US NO_x Emissions Using Surface Ozone Predictions. Journal of Geophysical Research Atmospheres. 127(4). 8 indexed citations

14.

Zhang, Shuang, et al.. (2022). Experimental Investigations of the Resistance Performance of Commercial Cylinder Filters and Effect Factors under Humid Airflows. Aerosol and Air Quality Research. 22(12). 220278–220278. 2 indexed citations

15.

Polavarapu, Saroja, et al.. (2021). The Environment and Climate Change Canada Carbon Assimilation System (EC-CAS v1.0): demonstration with simulated CO observations. Geoscientific model development. 14(5). 2525–2544. 1 indexed citations

16.

Mao, Kebiao, Yingying Ma, Lei Xia, et al.. (2014). Global aerosol change in the last decade: An analysis based on MODIS data. Atmospheric Environment. 94. 680–686. 78 indexed citations

17.

Ou, Qiuxiang, Jian Han, Zuo‐Feng Zhang, et al.. (2012). New occurence of the Cambrian (Stage 4, Series 2) Guanshan Biota in Huize, Yunnan, South China. Bulletin of Geosciences. 125–132. 27 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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