Ching‐I. Meng

484 total citations
10 papers, 380 citations indexed

About

Ching‐I. Meng is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Ching‐I. Meng has authored 10 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Astronomy and Astrophysics, 4 papers in Atmospheric Science and 3 papers in Environmental Engineering. Recurrent topics in Ching‐I. Meng's work include Ionosphere and magnetosphere dynamics (5 papers), Solar and Space Plasma Dynamics (5 papers) and Soil Moisture and Remote Sensing (2 papers). Ching‐I. Meng is often cited by papers focused on Ionosphere and magnetosphere dynamics (5 papers), Solar and Space Plasma Dynamics (5 papers) and Soil Moisture and Remote Sensing (2 papers). Ching‐I. Meng collaborates with scholars based in China, United States and United Kingdom. Ching‐I. Meng's co-authors include P. T. Newell, W. J. Burke, M. E. Greenspan, E. R. Sánchez, C. R. Clauer, T. Sotirelis, Zehao Li, Jiancheng Shi, Xiwu Zhan and Joseph P. Skura and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Water Resources Research and Geophysical Research Letters.

In The Last Decade

Ching‐I. Meng

9 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐I. Meng China 7 316 186 76 65 47 10 380
Monti Chakraborty India 8 190 0.6× 46 0.2× 130 1.7× 116 1.8× 78 1.7× 15 307
Enrico Kurtenbach Germany 4 88 0.3× 106 0.6× 31 0.4× 36 0.6× 27 0.6× 5 251
H. Hashemi Farahani Netherlands 12 95 0.3× 171 0.9× 76 1.0× 33 0.5× 29 0.6× 21 365
Michal Kozubek Czechia 9 161 0.5× 27 0.1× 58 0.8× 197 3.0× 131 2.8× 24 272
Anno Löcher Germany 6 133 0.4× 83 0.4× 18 0.2× 28 0.4× 68 1.4× 14 285
R. Hierro Argentina 12 165 0.5× 13 0.1× 23 0.3× 206 3.2× 151 3.2× 28 302
M. Kessel Germany 7 57 0.2× 31 0.2× 10 0.1× 133 2.0× 97 2.1× 10 214
Fabio Manta Singapore 6 123 0.4× 15 0.1× 196 2.6× 34 0.5× 14 0.3× 9 247
Lea Poropat Germany 4 104 0.3× 95 0.5× 20 0.3× 23 0.4× 17 0.4× 8 228
Daniela Cristina Santana Arruda Brazil 7 298 0.9× 40 0.2× 86 1.1× 59 0.9× 11 0.2× 8 325

Countries citing papers authored by Ching‐I. Meng

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐I. Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐I. Meng. 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 Ching‐I. Meng. The network helps show where Ching‐I. Meng may publish in the future.

Co-authorship network of co-authors of Ching‐I. Meng

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

All Works

10 of 10 papers shown
1.
2.
Wang, Yuankun, Lei Zhao, Shuhao Qin, et al.. (2025). An improved SWAT snowmelt model and its application in non-stationary spring flood frequency analysis in alpine regions: a case study of the upper Jinsha River basin. Journal of Hydrology. 662. 133808–133808. 1 indexed citations
3.
Meng, Ching‐I., et al.. (2024). Identification of compound flood-heatwave extremes in the Yangtze River Basin and their socio-economic exposure. Journal of Hydrology. 649. 132387–132387. 5 indexed citations
4.
Meng, Ching‐I., et al.. (2009). Land surface temperature data assimilation and its impact on evapotranspiration estimates from the Common Land Model. Water Resources Research. 45(2). 56 indexed citations
5.
Newell, P. T., et al.. (2002). Ultraviolet insolation drives seasonal and diurnal space weather variations. Journal of Geophysical Research Atmospheres. 107(A10). 49 indexed citations
6.
Sotirelis, T., P. T. Newell, Ching‐I. Meng, & M. R. Hairston. (1999). Low‐altitude signatures of magnetotail reconnection. Journal of Geophysical Research Atmospheres. 104(A8). 17311–17321. 6 indexed citations
7.
Newell, P. T., et al.. (1996). Correction to “Morphology of nightside precipitation” by Patrick T. Newell, Yasha I. Feldstein, Yuri I. Galperin, and Ching‐I. Meng. Journal of Geophysical Research Atmospheres. 101(A8). 17419–17421. 12 indexed citations
8.
Newell, P. T., W. J. Burke, E. R. Sánchez, et al.. (1991). The low‐latitude boundary layer and the boundary plasma sheet at low altitude: Prenoon precipitation regions and convection reversal boundaries. Journal of Geophysical Research Atmospheres. 96(A12). 21013–21023. 178 indexed citations
9.
Newell, P. T. & Ching‐I. Meng. (1990). Intense keV energy polar rain. Journal of Geophysical Research Atmospheres. 95(A6). 7869–7879. 22 indexed citations
10.
Meng, Ching‐I.. (1982). Latitudinal variation of the polar cusp during a geomagnetic storm. Geophysical Research Letters. 9(1). 60–63. 51 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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