Xianan Jiang

5.5k total citations
84 papers, 3.4k citations indexed

About

Xianan Jiang is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, Xianan Jiang has authored 84 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Global and Planetary Change, 76 papers in Atmospheric Science and 30 papers in Oceanography. Recurrent topics in Xianan Jiang's work include Climate variability and models (75 papers), Meteorological Phenomena and Simulations (46 papers) and Tropical and Extratropical Cyclones Research (37 papers). Xianan Jiang is often cited by papers focused on Climate variability and models (75 papers), Meteorological Phenomena and Simulations (46 papers) and Tropical and Extratropical Cyclones Research (37 papers). Xianan Jiang collaborates with scholars based in United States, China and United Kingdom. Xianan Jiang's co-authors include Duane E. Waliser, Tim Li, Bin Wang, Ming Zhao, Eric D. Maloney, Ngar‐Cheung Lau, Alex O. Gonzalez, J. M. Neena, Stephen A. Klein and Haikun Zhao and has published in prestigious journals such as Nature Communications, Journal of Climate and Geophysical Research Letters.

In The Last Decade

Xianan Jiang

84 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianan Jiang United States 33 3.3k 3.1k 1.3k 46 38 84 3.4k
Steffen Tietsche United Kingdom 22 1.6k 0.5× 2.1k 0.7× 670 0.5× 86 1.9× 65 1.7× 45 2.5k
Takmeng Wong United States 21 2.5k 0.8× 2.2k 0.7× 296 0.2× 81 1.8× 22 0.6× 50 2.7k
Viju O. John Germany 26 2.0k 0.6× 2.1k 0.7× 263 0.2× 63 1.4× 49 1.3× 87 2.4k
Tetsuo Nakazawa Japan 26 2.0k 0.6× 2.0k 0.7× 856 0.7× 39 0.8× 16 0.4× 53 2.2k
Edmund K. M. Chang United States 37 3.9k 1.2× 3.8k 1.2× 1.4k 1.1× 62 1.3× 33 0.9× 84 4.2k
Justin Small United States 30 3.3k 1.0× 2.8k 0.9× 3.3k 2.6× 27 0.6× 11 0.3× 76 4.1k
Stefano Tibaldi United Kingdom 24 2.5k 0.7× 2.5k 0.8× 643 0.5× 142 3.1× 61 1.6× 55 2.8k
Fei Zheng China 26 1.8k 0.5× 1.6k 0.5× 1.0k 0.8× 73 1.6× 33 0.9× 103 2.1k
Melinda S. Peng United States 32 2.5k 0.8× 3.0k 1.0× 1.7k 1.3× 86 1.9× 9 0.2× 121 3.3k
Yoshimi Kawai Japan 19 814 0.2× 824 0.3× 974 0.8× 37 0.8× 14 0.4× 57 1.3k

Countries citing papers authored by Xianan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Xianan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Xianan Jiang. A scholar is included among the top collaborators of Xianan Jiang 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 Xianan Jiang. Xianan Jiang 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.
Wang, Huaying, et al.. (2023). Zero-order term suppression in off-axis holography based on deep learning method. Optics Communications. 537. 129264–129264. 7 indexed citations
3.
Jiang, Xianan, Hui Su, Jonathan H. Jiang, et al.. (2023). Muted extratropical low cloud seasonal cycle is closely linked to underestimated climate sensitivity in models. Nature Communications. 14(1). 5586–5586. 7 indexed citations
4.
Wang, Xiaochun, Duane E. Waliser, Xianan Jiang, et al.. (2023). Evaluating western North Pacific tropical cyclone forecast in the subseasonal to seasonal prediction project database. Frontiers in Earth Science. 10. 2 indexed citations
5.
Jiang, Xianan, et al.. (2023). Improved SNR and super-resolution reconstruction of multi-scale digital holography based on deep learning. Optics Communications. 545. 129634–129634. 4 indexed citations
6.
Xiang, Baoqiang, Y. Qiang Sun, Jan‐Huey Chen, Nathaniel C. Johnson, & Xianan Jiang. (2020). Subseasonal Prediction of Land Cold Extremes in Boreal Wintertime. Journal of Geophysical Research Atmospheres. 125(13). 24 indexed citations
7.
8.
Gonzalez, Alex O. & Xianan Jiang. (2019). Distinct Propagation Characteristics of Intraseasonal Variability Over the Tropical West Pacific. Journal of Geophysical Research Atmospheres. 124(10). 5332–5351. 37 indexed citations
9.
Kuo, Yi‐Hung, J. David Neelin, Chih‐Chieh Chen, et al.. (2019). Convective Transition Statistics over Tropical Oceans for Climate Model Diagnostics: GCM Evaluation. Journal of the Atmospheric Sciences. 77(1). 379–403. 25 indexed citations
10.
Cesana, G, Duane E. Waliser, David S. Henderson, et al.. (2018). The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations. Journal of Climate. 32(5). 1573–1590. 20 indexed citations
11.
Jiang, Xianan, Baoqiang Xiang, Ming Zhao, et al.. (2018). Intraseasonal Tropical Cyclogenesis Prediction in a Global Coupled Model System. Journal of Climate. 31(15). 6209–6227. 22 indexed citations
12.
Gonzalez, Alex O. & Xianan Jiang. (2017). Winter mean lower tropospheric moisture over the Maritime Continent as a climate model diagnostic metric for the propagation of the Madden‐Julian oscillation. Geophysical Research Letters. 44(5). 2588–2596. 78 indexed citations
13.
Kim, Jinwon, Duane E. Waliser, G Cesana, et al.. (2017). Cloud and radiative heating profiles associated with the boreal summer intraseasonal oscillation. Climate Dynamics. 50(5-6). 1485–1494. 7 indexed citations
14.
Zhao, Haikun, Xianan Jiang, & Liguang Wu. (2015). Modulation of Northwest Pacific Tropical Cyclone Genesis by the Intraseasonal Variability. Journal of the Meteorological Society of Japan Ser II. 93(1). 81–97. 69 indexed citations
15.
Jiang, Xianan, et al.. (2015). A Momentum Budget Analysis of Westerly Wind Events Associated with the Madden–Julian Oscillation during DYNAMO. Journal of the Atmospheric Sciences. 72(10). 3780–3799. 12 indexed citations
16.
Jiang, Xianan, T. L. Kubar, Sun Wong, William S. Olson, & Duane E. Waliser. (2014). Modulation of Marine Low Clouds Associated with the Tropical Intraseasonal Variability over the Eastern Pacific. Journal of Climate. 27(14). 5560–5574. 3 indexed citations
17.
Neena, J. M., Xianan Jiang, Duane E. Waliser, June‐Yi Lee, & Bin Wang. (2014). Eastern Pacific Intraseasonal Variability: A Predictability Perspective. Journal of Climate. 27(23). 8869–8883. 14 indexed citations
18.
Lee, Jung‐Eun, Benjamin R. Lintner, J. David Neelin, et al.. (2012). Reduction of tropical land region precipitation variability via transpiration. Geophysical Research Letters. 39(19). 35 indexed citations
19.
Abhik, S., et al.. (2012). A possible new mechanism for northward propagation of boreal summer intraseasonal oscillations based on TRMM and MERRA reanalysis. Climate Dynamics. 40(7-8). 1611–1624. 70 indexed citations
20.
Jiang, Xianan, Eric D. Maloney, Jui‐Lin F. Li, & Duane E. Waliser. (2012). Simulations of the Eastern North Pacific Intraseasonal Variability in CMIP5 GCMs. Journal of Climate. 26(11). 3489–3510. 15 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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