Baijun Tian

3.7k total citations
74 papers, 2.4k citations indexed

About

Baijun Tian is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Baijun Tian has authored 74 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Atmospheric Science, 59 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in Baijun Tian's work include Climate variability and models (53 papers), Meteorological Phenomena and Simulations (37 papers) and Atmospheric Ozone and Climate (24 papers). Baijun Tian is often cited by papers focused on Climate variability and models (53 papers), Meteorological Phenomena and Simulations (37 papers) and Atmospheric Ozone and Climate (24 papers). Baijun Tian collaborates with scholars based in United States, China and South Korea. Baijun Tian's co-authors include Duane E. Waliser, Eric J. Fetzer, Yuk L. Yung, Brian J. Soden, Xiangqian Wu, V. Ramanathan, Brian H. Kahn, Bjorn Lambrigtsen, Thomas Hearty and Evan Manning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Geophysical Research Atmospheres.

In The Last Decade

Baijun Tian

72 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baijun Tian United States 28 2.1k 2.1k 421 146 69 74 2.4k
Hiroshi Koide Japan 15 1.6k 0.8× 1.7k 0.8× 545 1.3× 57 0.4× 79 1.1× 48 2.1k
Thomas J. Galarneau United States 20 1.7k 0.8× 1.7k 0.8× 370 0.9× 182 1.2× 77 1.1× 50 2.0k
Edwin K. Schneider United States 30 2.5k 1.2× 2.2k 1.0× 1.4k 3.3× 122 0.8× 74 1.1× 81 2.8k
Michael Sprenger Switzerland 25 2.0k 0.9× 2.1k 1.0× 181 0.4× 64 0.4× 114 1.7× 92 2.4k
Viju O. John Germany 26 2.0k 0.9× 2.1k 1.0× 263 0.6× 147 1.0× 63 0.9× 87 2.4k
Carolyn A. Reynolds United States 29 1.9k 0.9× 2.1k 1.0× 522 1.2× 131 0.9× 263 3.8× 111 2.6k
Ronald Gelaro United States 24 2.1k 1.0× 2.2k 1.1× 347 0.8× 83 0.6× 188 2.7× 53 2.4k
David J. Raymond United States 38 4.4k 2.1× 4.6k 2.2× 1.2k 2.9× 257 1.8× 200 2.9× 115 5.0k
Michael Fisher United Kingdom 17 2.2k 1.1× 2.2k 1.1× 436 1.0× 111 0.8× 216 3.1× 27 2.6k
Jason Dunion United States 22 1.9k 0.9× 2.6k 1.2× 1.1k 2.5× 82 0.6× 151 2.2× 57 2.9k

Countries citing papers authored by Baijun Tian

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baijun Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Baijun Tian. A scholar is included among the top collaborators of Baijun Tian 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 Baijun Tian. Baijun Tian 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, Yan, et al.. (2026). A Novel Metric for Quantifying Precipitation-Driven Variability in Global Terrestrial Water Storage. IEEE Transactions on Geoscience and Remote Sensing. 64. 1–14.
2.
Tian, Baijun, et al.. (2025). Unusual and persistent easterlies restrained the 2023/24 El Niño development after a triple-dip La Niña. npj Climate and Atmospheric Science. 8(1). 2 indexed citations
3.
Chen, Wenxuan, et al.. (2025). Multi-Level Cross-Attention Point Cloud Completion Network. Computers & Graphics. 130. 104253–104253.
4.
Su, Hui, et al.. (2019). Interannual variations of water vapor in the tropical upper troposphere and the lower and middle stratosphere and their connections to ENSO and QBO. Atmospheric chemistry and physics. 19(15). 9913–9926. 21 indexed citations
5.
Tian, Baijun, Eric J. Fetzer, & Evan Manning. (2019). The Atmospheric Infrared Sounder Obs4MIPs Version 2 Data Set. Earth and Space Science. 6(2). 324–333. 13 indexed citations
6.
Zhang, Guoqing, Baijun Tian, Weidong Zhang, & Xianku Zhang. (2018). Optimized robust control for industrial unstable process via the mirror-mapping method. ISA Transactions. 86. 9–17. 19 indexed citations
7.
Kim, Jinwon, Bin Guan, Duane E. Waliser, et al.. (2017). Winter precipitation characteristics in western US related to atmospheric river landfalls: observations and model evaluations. Climate Dynamics. 50(1-2). 231–248. 23 indexed citations
8.
Seo, Ki‐Weon, Clark R. Wilson, T. A. Scambos, et al.. (2015). Surface mass balance contributions to acceleration of Antarctic ice mass loss during 2003–2013. Journal of Geophysical Research Solid Earth. 120(5). 3617–3627. 20 indexed citations
9.
Kahn, Brian H., F. W. Irion, Evan Manning, et al.. (2014). The Atmospheric Infrared Sounder version 6 cloud products. Atmospheric chemistry and physics. 14(1). 399–426. 99 indexed citations
10.
Hess, Peter, et al.. (2014). The response of the equatorial tropospheric ozone to the Madden–Julian Oscillation in TES satellite observations and CAM-chem model simulation. Atmospheric chemistry and physics. 14(21). 11775–11790. 6 indexed citations
11.
Tian, Baijun, Eric J. Fetzer, Brian H. Kahn, et al.. (2013). Evaluating CMIP5 Models using AIRS Tropospheric Air Temperature and Specific Humidity Climatology. Journal of Geophysical Research Atmospheres. n/a–n/a. 6 indexed citations
12.
Tian, Baijun, Duane E. Waliser, M. Schwartz, et al.. (2012). Vertical structure of MJO-related subtropical ozone variations from MLS, TES, and SHADOZ data. Atmospheric chemistry and physics. 12(1). 425–436. 17 indexed citations
13.
Tian, Baijun, Duane E. Waliser, Eric J. Fetzer, & Yuk L. Yung. (2010). Vertical Moist Thermodynamic Structure of the Madden–Julian Oscillation in Atmospheric Infrared Sounder Retrievals: An Update and a Comparison to ECMWF Interim Re-Analysis. Monthly Weather Review. 138(12). 4576–4582. 56 indexed citations
14.
Waliser, Duane E., et al.. (2009). Observation of solid precipitation using satellite gravity. AGU Fall Meeting Abstracts. 2009. 1 indexed citations
15.
Tian, Baijun, et al.. (2009). Effects of Heat Treatment on the Mechanical Properties of Plasma-Sprayed 316L Coatings. Thermal spray. 83690. 1062–1066. 1 indexed citations
16.
Schwartz, M., Duane E. Waliser, Baijun Tian, et al.. (2006). MJO in EOS MLS Cloud Ice and Water Vapor. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
17.
Pagano, Thomas S., M. T. Chahine, Hartmut H. Aumann, et al.. (2006). Remote Sensing of Atmospheric Climate Parameters from the Atmospheric Infrared Sounder. 41. 2386–2389. 5 indexed citations
18.
Tian, Baijun, Duane E. Waliser, Eric J. Fetzer, et al.. (2006). Vertical Moist Thermodynamic Structure and Spatial–Temporal Evolution of the MJO in AIRS Observations. Journal of the Atmospheric Sciences. 63(10). 2462–2485. 144 indexed citations
19.
Tian, Baijun & V. Ramanathan. (2002). Role of Tropical Clouds in Surface and Atmospheric Energy Budget. Journal of Climate. 15(3). 296–305. 47 indexed citations
20.
Tian, Baijun & V. Ramanathan. (2001). Role of Tropical Clouds in Surface and Atmospheric Energy Budget. AGUFM. 2001. 1 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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