Shu‐peng Ho

5.3k total citations
75 papers, 2.3k citations indexed

About

Shu‐peng Ho is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Global and Planetary Change. According to data from OpenAlex, Shu‐peng Ho has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atmospheric Science, 43 papers in Astronomy and Astrophysics and 37 papers in Global and Planetary Change. Recurrent topics in Shu‐peng Ho's work include Ionosphere and magnetosphere dynamics (43 papers), Atmospheric Ozone and Climate (39 papers) and Meteorological Phenomena and Simulations (21 papers). Shu‐peng Ho is often cited by papers focused on Ionosphere and magnetosphere dynamics (43 papers), Atmospheric Ozone and Climate (39 papers) and Meteorological Phenomena and Simulations (21 papers). Shu‐peng Ho collaborates with scholars based in United States, Austria and Canada. Shu‐peng Ho's co-authors include Ying‐Hwa Kuo, Xinjia Zhou, William J. Randel, D. P. Edwards, Gene Francis, J. R. Drummond, M. N. Deeter, Debbie Mao, L. K. Emmons and J. C. Gille and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The EMBO Journal and Blood.

In The Last Decade

Shu‐peng Ho

72 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐peng Ho United States 25 1.8k 1.4k 841 382 340 75 2.3k
R. D. McPeters United States 21 1.8k 1.0× 1.6k 1.1× 135 0.2× 100 0.3× 65 0.2× 40 2.0k
Sophie Godin‐Beekmann France 27 1.7k 0.9× 1.5k 1.1× 173 0.2× 50 0.1× 21 0.1× 109 1.9k
Robert F. Arduini United States 14 1.0k 0.5× 1.0k 0.7× 26 0.0× 86 0.2× 25 0.1× 33 1.1k
B. A. de la Morena Spain 21 666 0.4× 524 0.4× 353 0.4× 84 0.2× 50 0.1× 44 1.2k
Petra M. Udelhofen United States 8 437 0.2× 401 0.3× 122 0.1× 15 0.0× 35 0.1× 9 748
C. M. Volk Germany 26 1.8k 1.0× 1.6k 1.1× 225 0.3× 19 0.0× 25 0.1× 60 2.0k
Xian Lu United States 22 616 0.3× 247 0.2× 941 1.1× 88 0.2× 185 0.5× 64 1.1k
M. Vázquez Spain 22 530 0.3× 533 0.4× 659 0.8× 16 0.0× 193 0.6× 74 1.3k
Shuichi Mori Japan 26 1.6k 0.9× 1.5k 1.1× 208 0.2× 88 0.2× 537 1.6× 64 2.1k
N. K. Balachandran United States 12 969 0.5× 763 0.5× 364 0.4× 22 0.1× 104 0.3× 23 1.2k

Countries citing papers authored by Shu‐peng Ho

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐peng Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐peng Ho. 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 Shu‐peng Ho. The network helps show where Shu‐peng Ho may publish in the future.

Co-authorship network of co-authors of Shu‐peng Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐peng Ho. A scholar is included among the top collaborators of Shu‐peng Ho 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 Shu‐peng Ho. Shu‐peng Ho 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
3.
Yang, John Xun, Yalei You, William J. Blackwell, et al.. (2023). SatERR: A Community Error Inventory for Satellite Microwave Observation Error Representation and Uncertainty Quantification. Bulletin of the American Meteorological Society. 105(1). E1–E20. 7 indexed citations
4.
Shao, Xi, Shu‐peng Ho, Xinjia Zhou, et al.. (2023). Characterizing the tropospheric water vapor spatial variation and trend using 2007–2018 COSMIC radio occultation and ECMWF reanalysis data. Atmospheric chemistry and physics. 23(22). 14187–14218. 4 indexed citations
5.
Reddy, K. Krishna, et al.. (2022). Temperature Perturbations in the Troposphere and Lower Stratosphere Over a Semi-arid Region During the 2010 Solar Eclipse. Pure and Applied Geophysics. 179(6-7). 2487–2499. 1 indexed citations
6.
Steiner, Andrea K., Florian Ladstädter, C. O. Ao, et al.. (2020). Consistency and structural uncertainty of multi-mission GPS radio occultation records. Atmospheric measurement techniques. 13(5). 2547–2575. 51 indexed citations
7.
Xue, Y., Jun Li, W. Paul Menzel, et al.. (2019). Characteristics of Satellite Sampling Errors in Total Precipitable Water from SSMIS, HIRS, and COSMIC Observations. Journal of Geophysical Research Atmospheres. 124(13). 6966–6981. 18 indexed citations
8.
Ho, Shu‐peng, Liang Peng, C. A. Mears, & Richard A. Anthes. (2018). Comparison of global observations and trends of total precipitable water derived from microwave radiometers and COSMIC radio occultation from 2006 to 2013. Atmospheric chemistry and physics. 18(1). 259–274. 37 indexed citations
9.
Rieckh, Therese, Richard A. Anthes, William J. Randel, Shu‐peng Ho, & Ulrich Foelsche. (2018). Evaluating tropospheric humidity from GPS radio occultation, radiosonde, and AIRS from high-resolution time series. Atmospheric measurement techniques. 11(5). 3091–3109. 24 indexed citations
10.
Ho, Shu‐peng, Liang Peng, & Holger Vömel. (2017). Characterization of the long-term radiosonde temperature biases in the upper troposphere and lower stratosphere using COSMIC and Metop-A/GRAS data from 2006 to 2014. Atmospheric chemistry and physics. 17(7). 4493–4511. 41 indexed citations
11.
Rieckh, Therese, Richard A. Anthes, William J. Randel, Shu‐peng Ho, & Ulrich Foelsche. (2017). Tropospheric dry layers in the tropical western Pacific: comparisons of GPS radio occultation with multiple data sets. Atmospheric measurement techniques. 10(3). 1093–1110. 19 indexed citations
12.
Rieckh, Therese, Richard A. Anthes, William J. Randel, Shu‐peng Ho, & Ulrich Foelsche. (2016). Tropospheric dry layers in the TropicalWestern Pacific:Comparisons of GPS radio occultation with multiple data sets. 2 indexed citations
15.
Ho, Shu‐peng, et al.. (2013). Applications of COSMIC Radio Occultation Data from the Troposphere to Ionosphere and Potential Impacts of COSMIC-2 Data. Bulletin of the American Meteorological Society. 95(1). ES18–ES22. 19 indexed citations
16.
Scherllin‐Pirscher, Barbara, Clara Deser, Shu‐peng Ho, et al.. (2012). The vertical and spatial structure of ENSO in the upper troposphere and lower stratosphere from GPS radio occultation measurements. Geophysical Research Letters. 39(20). 61 indexed citations
17.
Biondi, Riccardo, William J. Randel, Shu‐peng Ho, Torsten Neubert, & Stig Syndergaard. (2012). Thermal structure of intense convective clouds derived from GPS radio occultations. Atmospheric chemistry and physics. 12(12). 5309–5318. 60 indexed citations
18.
Biondi, Riccardo, William J. Randel, Shu‐peng Ho, Torsten Neubert, & Stig Syndergaard. (2011). Thermal structure of intense convective clouds derived from GPS radio occultations. 1 indexed citations
19.
Illingworth, Sam, Hartmut Boesch, Shu‐peng Ho, et al.. (2011). A comparison of OEM CO retrievals from the IASI and MOPITT instruments. Atmospheric measurement techniques. 4(5). 775–793. 11 indexed citations
20.
Ho, Shu‐peng, William L. Smith, & Hung‐Lung Huang. (2002). Retrieval of atmospheric-temperature and water-vapor profiles by use of combined satellite and ground-based infrared spectral-radiance measurements. Applied Optics. 41(20). 4057–4057. 13 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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