Hai‐Ru Chang

4.0k total citations · 1 hit paper
15 papers, 3.0k citations indexed

About

Hai‐Ru Chang is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Hai‐Ru Chang has authored 15 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 9 papers in Global and Planetary Change and 7 papers in Oceanography. Recurrent topics in Hai‐Ru Chang's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (7 papers) and Tropical and Extratropical Cyclones Research (4 papers). Hai‐Ru Chang is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (7 papers) and Tropical and Extratropical Cyclones Research (4 papers). Hai‐Ru Chang collaborates with scholars based in United States, China and Canada. Hai‐Ru Chang's co-authors include Peter J. Webster, Judith A. Curry, Greg J. Holland, Thomas T. Warner, Da‐Lin Zhang, J. Michael Fritsch, Nelson L. Seaman, Robert L. Grossman, Violeta E. Toma and Suixin Liu and has published in prestigious journals such as Science, Journal of Climate and Journal of the Atmospheric Sciences.

In The Last Decade

Hai‐Ru Chang

15 papers receiving 2.8k citations

Hit Papers

Changes in Tropical Cyclone Number, Duration, and Intensi... 2005 2026 2012 2019 2005 500 1000 1.5k 2.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment
    2005 2.4k citations Peter J. Webster, Greg J. Holland et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai‐Ru Chang United States 13 2.1k 1.9k 1.0k 584 331 15 3.0k
Chris Landsea United States 11 2.6k 1.2× 2.4k 1.3× 1.1k 1.1× 643 1.1× 445 1.3× 16 3.6k
Kathleen L. McInnes Australia 35 2.3k 1.1× 2.3k 1.2× 1.4k 1.4× 531 0.9× 924 2.8× 89 4.1k
Barry D. Keim United States 32 2.2k 1.0× 2.6k 1.4× 603 0.6× 601 1.0× 341 1.0× 93 4.2k
J. Sirutis United States 14 1.8k 0.9× 1.7k 0.9× 814 0.8× 329 0.6× 230 0.7× 18 2.4k
Robert E. Tuleya United States 31 4.2k 2.0× 3.4k 1.8× 1.8k 1.8× 417 0.7× 402 1.2× 42 4.9k
Mark R. Jury South Africa 32 2.2k 1.0× 3.0k 1.6× 1.1k 1.1× 395 0.7× 231 0.7× 261 3.9k
Morris A. Bender United States 25 3.7k 1.7× 2.7k 1.5× 2.0k 2.0× 319 0.5× 358 1.1× 42 4.2k
Rein Haarsma Netherlands 41 3.4k 1.6× 3.5k 1.8× 1.5k 1.5× 305 0.5× 235 0.7× 107 4.5k
Dennis Wheeler United Kingdom 23 2.1k 1.0× 2.2k 1.2× 627 0.6× 266 0.5× 133 0.4× 86 3.2k
M. Mohapatra India 26 2.6k 1.2× 2.2k 1.2× 1.1k 1.1× 194 0.3× 213 0.6× 154 3.2k

Countries citing papers authored by Hai‐Ru Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Ru Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai‐Ru Chang. 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 Hai‐Ru Chang. The network helps show where Hai‐Ru Chang may publish in the future.

Co-authorship network of co-authors of Hai‐Ru Chang

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

All Works

15 of 15 papers shown
1.
Wang, Hui, Hai‐Ru Chang, Tony R. ‎Walker, et al.. (2021). Characterization and risk assessment of metals in surface sediments and riparian zone soils of Liaohe River, China. Applied Geochemistry. 134. 105104–105104. 19 indexed citations
2.
Webster, Peter J., et al.. (2018). The effect of potential vorticity fluxes on the circulation of the tropical upper troposphere. Quarterly Journal of the Royal Meteorological Society. 144(712). 848–860. 16 indexed citations
3.
Webster, Peter J., et al.. (2017). Quasi-biweekly oscillations of the South Asian monsoon and its co-evolution in the upper and lower troposphere. Climate Dynamics. 49(9-10). 3159–3174. 27 indexed citations
4.
Zhang, Qian, Zhenxing Shen, Junji Cao, et al.. (2014). Chemical profiles of urban fugitive dust over Xi'an in the south margin of the Loess Plateau, China. Atmospheric Pollution Research. 5(3). 421–430. 74 indexed citations
5.
Webster, Peter J., Jun Jian, T. M. Hopson, et al.. (2010). Extended-Range Probabilistic Forecasts of Ganges and Brahmaputra Floods in Bangladesh. Bulletin of the American Meteorological Society. 91(11). 1493–1514. 85 indexed citations
6.
Webster, Peter J., Greg J. Holland, Judith A. Curry, & Hai‐Ru Chang. (2005). Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment. Science. 309(5742). 1844–1846. 2358 indexed citations breakdown →
7.
Webster, Peter J., et al.. (2004). Seasonality in SST-Forced Atmospheric Short-Term Climate Predictability. Journal of Climate. 17(16). 3090–3108. 21 indexed citations
8.
Chang, Hai‐Ru & Robert L. Grossman. (1999). Evaluation of bulk surface flux algorithms for light wind conditions using data from the coupled ocean‐atmosphere response experiment (COARE). Quarterly Journal of the Royal Meteorological Society. 125(557). 1551–1588. 20 indexed citations
9.
Webster, Peter J. & Hai‐Ru Chang. (1998). Atmospheric wave propagation in heterogeneous flow: basic flow controls on tropical—extratropical interaction and equatorial wave modification. Dynamics of Atmospheres and Oceans. 27(1-4). 91–134. 26 indexed citations
10.
Chang, Hai‐Ru & Peter J. Webster. (1995). Energy Accumulation and Emanation at Low Latitudes. Part III: Forward and Backward Accumulation. Journal of the Atmospheric Sciences. 52(13). 2384–2403. 16 indexed citations
11.
Chang, Hai‐Ru & Peter J. Webster. (1990). Energy Accumulation and Emanation at Low Latitudes. Part II: Nonlinear Response to Strong Episodic Equatorial Forcing. Journal of the Atmospheric Sciences. 47(22). 2624–2644. 37 indexed citations
12.
Webster, Peter J. & Hai‐Ru Chang. (1988). Equatorial Energy Accumulation and Emanation Regions: Impacts of a Zonally Varying Basic State. Journal of the Atmospheric Sciences. 45(5). 803–829. 137 indexed citations
13.
Zhang, Da‐Lin, Hai‐Ru Chang, Nelson L. Seaman, Thomas T. Warner, & J. Michael Fritsch. (1986). A Two-Way Interactive Nesting Procedure with Variable Terrain Resolution. Monthly Weather Review. 114(7). 1330–1339. 123 indexed citations
14.
Chang, Hai‐Ru, et al.. (1985). Compact Spatial Differencing Techniques in Numerical Modeling. Monthly Weather Review. 113(4). 409–423. 9 indexed citations
15.
Chang, Hai‐Ru, et al.. (1984). Transitions in Shallow Convection: An Explanation for Lateral Cell Expansion. Journal of the Atmospheric Sciences. 41(15). 2334–2346. 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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