Haiyan Jiang

2.3k total citations
41 papers, 1.9k citations indexed

About

Haiyan Jiang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Haiyan Jiang has authored 41 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Atmospheric Science, 20 papers in Global and Planetary Change and 19 papers in Oceanography. Recurrent topics in Haiyan Jiang's work include Tropical and Extratropical Cyclones Research (39 papers), Precipitation Measurement and Analysis (21 papers) and Ocean Waves and Remote Sensing (19 papers). Haiyan Jiang is often cited by papers focused on Tropical and Extratropical Cyclones Research (39 papers), Precipitation Measurement and Analysis (21 papers) and Ocean Waves and Remote Sensing (19 papers). Haiyan Jiang collaborates with scholars based in United States, China and Australia. Haiyan Jiang's co-authors include Edward J. Zipser, Cheng Tao, Joseph P. Zagrodnik, Jonathan Zawislak, Ellen Ramirez, Jeffrey B. Halverson, Chuntao Liu, Robert F. Rogers, Jun A. Zhang and Stephanie N. Stevenson and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Haiyan Jiang

41 papers receiving 1.9k citations

Peers

Haiyan Jiang

GPC

OCEAN

Michael Dickinson United States

Noel E. Davidson Australia

Raymond M. Zehr United States

Ron McTaggart‐Cowan Canada

Eyad H. Atallah Canada

Haikun Zhao China

J. Bader Germany

Fumie Murata Japan

Iam‐Fei Pun Taiwan

Bruce Harper Australia

Michael Dickinson United States

Haiyan Jiang

1.3k ×0.7

1.2k ×0.9

GPC

567 ×0.7

OCEAN

29 ×0.4

33 ×0.7

Citations per year, relative to Haiyan Jiang Haiyan Jiang (= 1×) peers Michael Dickinson

Countries citing papers authored by Haiyan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Haiyan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyan Jiang

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

All Works

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20 of 20 papers shown

Xin-xi, Wang, et al.. (2023). Relating Tropical Cyclone Intensification Rate to Precipitation and Convective Features in the Inner Core. Weather and Forecasting. 39(2). 351–368. 2 indexed citations

Jiang, Haiyan, et al.. (2021). Global increase in tropical cyclone rain rate. Nature Communications. 12(1). 5344–5344. 107 indexed citations

Jiang, Haiyan, et al.. (2021). Heavier Inner-core Rainfall of Major Hurricanes in the North Atlantic Basin than Other Global Basins. Journal of Climate. 1–35. 7 indexed citations

Xin-xi, Wang & Haiyan Jiang. (2020). Contrasting Behaviors between the Rapidly Intensifying and Slowly Intensifying Tropical Cyclones in the North Atlantic and Eastern Pacific Basins. Journal of Climate. 34(3). 987–1003. 11 indexed citations

Jiang, Haiyan, et al.. (2020). Climatology of Passive Microwave Brightness Temperatures in Tropical Cyclones and their Relations to Storm Intensities as Seen by FY-3B/MWRI. Remote Sensing. 12(1). 147–147. 1 indexed citations

Wang, Xiang & Haiyan Jiang. (2019). A 13-Year Global Climatology of Tropical Cyclone Warm-Core Structures from AIRS Data. Monthly Weather Review. 147(3). 773–790. 36 indexed citations

Cheung, Kevin K. W., Zifeng Yu, Russell L. Elsberry, et al.. (2018). Recent Advances in Research and Forecasting of Tropical Cyclone Rainfall. SHILAP Revista de lepidopterología. 26 indexed citations

Jiang, Haiyan, et al.. (2018). Estimation of Tropical Cyclone Intensity in the North Atlantic and Northeastern Pacific Basins Using TRMM Satellite Passive Microwave Observations. Journal of Applied Meteorology and Climatology. 58(2). 185–197. 27 indexed citations

Klotz, Bradley W. & Haiyan Jiang. (2016). Global composites of surface wind speeds in tropical cyclones based on a 12 year scatterometer database. Geophysical Research Letters. 43(19). 25 indexed citations

10.

Tao, Cheng, Haiyan Jiang, & Jonathan Zawislak. (2016). The Relative Importance of Stratiform and Convective Rainfall in Rapidly Intensifying Tropical Cyclones. Monthly Weather Review. 145(3). 795–809. 68 indexed citations

11.

Rogers, Robert F., Jun A. Zhang, Jonathan Zawislak, et al.. (2016). Observations of the Structure and Evolution of Hurricane Edouard (2014) during Intensity Change. Part II: Kinematic Structure and the Distribution of Deep Convection. Monthly Weather Review. 144(9). 3355–3376. 123 indexed citations

12.

Tao, Cheng & Haiyan Jiang. (2015). Distributions of Shallow to Very Deep Precipitation–Convection in Rapidly Intensifying Tropical Cyclones. Journal of Climate. 28(22). 8791–8824. 94 indexed citations

13.

Xu, Weixin, et al.. (2014). Rainfall asymmetries of tropical cyclones prior to, during, and after making landfall in South China and Southeast United States. Atmospheric Research. 139. 18–26. 70 indexed citations

14.

Jiang, Haiyan & Ellen Ramirez. (2013). Necessary Conditions for Tropical Cyclone Rapid Intensification as Derived from 11 Years of TRMM Data. Journal of Climate. 26(17). 6459–6470. 70 indexed citations

15.

Jiang, Haiyan, Chuntao Liu, & Edward J. Zipser. (2011). A TRMM-Based Tropical Cyclone Cloud and Precipitation Feature Database. Journal of Applied Meteorology and Climatology. 50(6). 1255–1274. 109 indexed citations

16.

Xu, Weixin, Edward J. Zipser, Chuntao Liu, & Haiyan Jiang. (2010). On the relationships between lightning frequency and thundercloud parameters of regional precipitation systems. Journal of Geophysical Research Atmospheres. 115(D12). 37 indexed citations

17.

Jiang, Haiyan, Jeffrey B. Halverson, Joanne Simpson, & Edward J. Zipser. (2008). Hurricane “Rainfall Potential” Derived from Satellite Observations Aids Overland Rainfall Prediction. Journal of Applied Meteorology and Climatology. 47(4). 944–959. 43 indexed citations

18.

Jiang, Haiyan, Jeffrey B. Halverson, & Joanne Simpson. (2008). On the Differences in Storm Rainfall from Hurricanes Isidore and Lili. Part I: Satellite Observations and Rain Potential. Weather and Forecasting. 23(1). 29–43. 35 indexed citations

19.

Jiang, Haiyan. (2006). Difference of Rainfall Distribution for Tropical Cyclones Over Land and Ocean and Rainfall Potential Derived from Satellite Observations and Its Implication on Hurricane Landfall Flooding Prediction. 5 indexed citations

20.

Jiang, Haiyan & Edward J. Zipser. (2006). Retrieval of Hydrometeor Profiles in Tropical Cyclones and Convection from Combined Radar and Radiometer Observations. Journal of Applied Meteorology and Climatology. 45(8). 1096–1115. 9 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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