W. P. Chu

3.3k total citations
57 papers, 2.5k citations indexed

About

W. P. Chu is a scholar working on Atmospheric Science, Global and Planetary Change and Astronomy and Astrophysics. According to data from OpenAlex, W. P. Chu has authored 57 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Atmospheric Science, 39 papers in Global and Planetary Change and 19 papers in Astronomy and Astrophysics. Recurrent topics in W. P. Chu's work include Atmospheric Ozone and Climate (45 papers), Atmospheric and Environmental Gas Dynamics (22 papers) and Atmospheric chemistry and aerosols (19 papers). W. P. Chu is often cited by papers focused on Atmospheric Ozone and Climate (45 papers), Atmospheric and Environmental Gas Dynamics (22 papers) and Atmospheric chemistry and aerosols (19 papers). W. P. Chu collaborates with scholars based in United States, China and Hong Kong. W. P. Chu's co-authors include M. P. McCormick, T. J. Swissler, Patrick Hamill, L. R. Mcmaster, E. W. Chiou, J. Lenoble, H. M. Steele, J. C. Larsen, Colette Brogniez and T. J. Pepin and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

W. P. Chu

54 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. P. Chu United States 26 2.3k 1.9k 419 130 77 57 2.5k
E. M. Weinstock United States 31 2.2k 1.0× 1.9k 1.0× 232 0.6× 266 2.0× 75 1.0× 69 2.5k
Masatomo Fujiwara Japan 32 3.1k 1.4× 2.8k 1.4× 539 1.3× 78 0.6× 96 1.2× 116 3.4k
Robert J. Curran United States 15 381 0.2× 402 0.2× 259 0.6× 17 0.1× 131 1.7× 36 909
Hiroshi Kanzawa Japan 18 811 0.4× 687 0.4× 147 0.4× 85 0.7× 26 0.3× 51 993
Klaus Pfeilsticker Germany 31 2.1k 0.9× 1.7k 0.9× 75 0.2× 274 2.1× 39 0.5× 84 2.3k
Frank Arnold Germany 20 1.5k 0.6× 754 0.4× 293 0.7× 243 1.9× 21 0.3× 39 1.9k
Walter G. Planet United States 17 743 0.3× 616 0.3× 130 0.3× 160 1.2× 53 0.7× 36 1.0k
John Barnes United States 26 1.6k 0.7× 1.5k 0.8× 124 0.3× 173 1.3× 74 1.0× 71 2.0k
F. Goutail France 28 2.1k 0.9× 1.7k 0.9× 237 0.6× 169 1.3× 48 0.6× 112 2.2k
R. Winkler France 21 1.0k 0.5× 625 0.3× 170 0.4× 79 0.6× 29 0.4× 33 1.5k

Countries citing papers authored by W. P. Chu

Since Specialization
Citations

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

Fields of papers citing papers by W. P. Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. P. Chu. 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 W. P. Chu. The network helps show where W. P. Chu may publish in the future.

Co-authorship network of co-authors of W. P. Chu

This figure shows the co-authorship network connecting the top 25 collaborators of W. P. Chu. A scholar is included among the top collaborators of W. P. Chu 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 W. P. Chu. W. P. Chu 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.
Zhang, Chunxiao, et al.. (2025). Investigate the rainfall-runoff relationship and hydrological concepts inside LSTM. Environmental Modelling & Software. 192. 106527–106527. 3 indexed citations
2.
3.
4.
Zhang, Chunxiao, et al.. (2024). A process-driven deep learning hydrological model for daily rainfall-runoff simulation. Journal of Hydrology. 637. 131434–131434. 15 indexed citations
5.
Chen, Long, H. Li, Chunxiao Zhang, et al.. (2024). Dynamic analysis of landscape drivers in the thermal environment of Guanzhong plain urban agglomeration. International Journal of Applied Earth Observation and Geoinformation. 134. 104239–104239. 4 indexed citations
6.
Zhang, Chunxiao, et al.. (2024). Using Physics-Encoded GeoAI to Improve the Physical Realism of Deep Learning′s Rainfall-Runoff Responses under Climate Change. International Journal of Applied Earth Observation and Geoinformation. 133. 104101–104101. 4 indexed citations
7.
Chu, W. P., Siyuan Liu, Xueyun Yang, et al.. (2013). Synthesis, cytotoxicity and DNA-binding properties of Pd(II), Cu(II) and Zn(II) complexes with 4′-(4-(2-(piperidin-1-yl)ethoxy)phenyl)-2,2′:6′,2″-terpyridine. Bioorganic & Medicinal Chemistry Letters. 23(18). 5187–5191. 34 indexed citations
8.
Chu, W. P., et al.. (2003). INITIAL COMPARISON OF SAGE III DATA WITH GOMOS AND SCIAMACHY. ESASP. 531. 1 indexed citations
9.
Rosenlof, Karen H., S. J. Oltmans, D. Kley, et al.. (2001). Stratospheric water vapor increases over the past half‐century. Geophysical Research Letters. 28(7). 1195–1198. 229 indexed citations
10.
Rind, David, E. W. Chiou, W. P. Chu, et al.. (1993). Overview of the Stratospheric Aerosol and Gas Experiment II water vapor observations: Method, validation, and data characteristics. Journal of Geophysical Research Atmospheres. 98(D3). 4835–4856. 75 indexed citations
11.
Rind, David, E. W. Chiou, W. P. Chu, et al.. (1991). Positive water vapour feedback in climate models confirmed by satellite data. Nature. 349(6309). 500–503. 148 indexed citations
12.
Cunnold, D. M., J. M. Zawodny, W. P. Chu, et al.. (1991). Validation of SAGE II NO2 measurements. Journal of Geophysical Research Atmospheres. 96(D7). 12913–12925. 141 indexed citations
13.
Chu, W. P., J. C. Larsen, & M. P. McCormick. (1990). Pressure and Temperature Retrievals From the SAGE III/Eos Measurements. MB3–MB3. 1 indexed citations
14.
McDermid, I. S., Sophie Godin, Robert A. Barnes, et al.. (1990). Comparison of ozone profiles from ground‐based lidar, electrochemical concentration cell balloon sonde, ROCOZ‐A rocket ozonesonde, and Stratospheric Aerosol and Gas Experiment satellite measurements. Journal of Geophysical Research Atmospheres. 95(D7). 10037–10042. 30 indexed citations
15.
Wang, Pi‐Huan, M. P. McCormick, L. R. Mcmaster, et al.. (1989). SAGE II aerosol data validation based on retrieved aerosol model size distribution from SAGE II aerosol measurements. Journal of Geophysical Research Atmospheres. 94(D6). 8381–8393. 26 indexed citations
16.
Rodgers, C. D., P. K. Bhartia, W. P. Chu, et al.. (1989). Information content of ozone retrieval algorithms. 3 indexed citations
17.
Larsen, J. C., M. P. McCormick, L. R. Mcmaster, & W. P. Chu. (1988). Observations of atmospheric water vapor with the SAGE 2 instrument. NASA STI Repository (National Aeronautics and Space Administration). 62. 1 indexed citations
18.
Chu, W. P.. (1986). Inversion of SAGE II measurements. NASA Technical Reports Server (NASA). 2 indexed citations
19.
McCormick, M. P., W. P. Chu, H. M. Steele, Patrick Hamill, & T. J. Swissler. (1982). Polar stratospheric cloud sightings by SAM II. [Stratospheric Aerosol Measurement onboard Nimbus 7]. NASA Technical Reports Server (NASA).
20.
McCormick, M. P., W. P. Chu, G. W. Grams, et al.. (1981). High-Latitude Stratospheric Aerosols Measured by the SAM II Satellite System in 1978 and 1979. Science. 214(4518). 328–331. 37 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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