L. Zhu

1.3k total citations
50 papers, 846 citations indexed

About

L. Zhu is a scholar working on Astronomy and Astrophysics, Molecular Biology and Geophysics. According to data from OpenAlex, L. Zhu has authored 50 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Astronomy and Astrophysics, 21 papers in Molecular Biology and 20 papers in Geophysics. Recurrent topics in L. Zhu's work include Ionosphere and magnetosphere dynamics (43 papers), Solar and Space Plasma Dynamics (34 papers) and Geomagnetism and Paleomagnetism Studies (21 papers). L. Zhu is often cited by papers focused on Ionosphere and magnetosphere dynamics (43 papers), Solar and Space Plasma Dynamics (34 papers) and Geomagnetism and Paleomagnetism Studies (21 papers). L. Zhu collaborates with scholars based in United States, Canada and China. L. Zhu's co-authors include J. J. Sojka, R. W. Schunk, J. R. Kan, L. Scherliess, S.‐I. Akasofu, D. C. Thompson, Piotr Kokoszka, L. C. Gardner, D. R. Weimer and S.‐I. Akasofu and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and International Journal of Climatology.

In The Last Decade

L. Zhu

48 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Zhu United States 16 768 333 333 202 107 50 846
B. M. Pathan India 15 763 1.0× 244 0.7× 492 1.5× 240 1.2× 69 0.6× 54 823
J. Watermann Denmark 18 1.1k 1.4× 612 1.8× 386 1.2× 116 0.6× 69 0.6× 56 1.1k
A. A. Pimenta Brazil 16 731 1.0× 136 0.4× 297 0.9× 312 1.5× 94 0.9× 39 765
F. T. Berkey United States 17 752 1.0× 225 0.7× 374 1.1× 171 0.8× 95 0.9× 53 841
Young‐Sil Kwak South Korea 18 1.1k 1.4× 331 1.0× 482 1.4× 335 1.7× 163 1.5× 114 1.1k
S. Alex India 18 1.0k 1.4× 487 1.5× 452 1.4× 147 0.7× 44 0.4× 51 1.1k
A. K. Gwal India 17 620 0.8× 111 0.3× 511 1.5× 352 1.7× 130 1.2× 78 818
Sudha Ravindran India 21 1.2k 1.5× 264 0.8× 695 2.1× 480 2.4× 114 1.1× 56 1.4k
S. Vennerstrøm Denmark 21 1.6k 2.0× 903 2.7× 357 1.1× 55 0.3× 78 0.7× 42 1.6k
J. A. Wild United Kingdom 26 1.6k 2.1× 815 2.4× 506 1.5× 157 0.8× 65 0.6× 88 1.7k

Countries citing papers authored by L. Zhu

Since Specialization
Citations

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

Fields of papers citing papers by L. Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of L. Zhu. A scholar is included among the top collaborators of L. Zhu 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 L. Zhu. L. Zhu 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.
Schunk, R. W., L. C. Gardner, L. Scherliess, & L. Zhu. (2012). Problems associated with uncertain parameters and missing physics for long‐term ionosphere‐thermosphere forecasting. Radio Science. 47(4). 17 indexed citations
2.
Zhu, L., R. W. Schunk, L. Scherliess, & J. V. Eccles. (2012). Importance of data assimilation technique in defining the model drivers for the space weather specification of the high‐latitude ionosphere. Radio Science. 47(4). 7 indexed citations
3.
Kokoszka, Piotr, et al.. (2010). Estimation of Sq variation by means of multiresolution and principal component analyses. Journal of Atmospheric and Solar-Terrestrial Physics. 72(7-8). 625–632. 6 indexed citations
4.
Xu, Zhonghua, L. Zhu, J. J. Sojka, & Piotr Kokoszka. (2009). Wavelet cross‐spectrum analysis of the ring current using magnetic records from multiple low‐latitude stations. Journal of Geophysical Research Atmospheres. 114(A5). 1 indexed citations
5.
Kokoszka, Piotr, et al.. (2009). Removal of nonconstant daily variation by means of wavelet and functional data analysis. Journal of Geophysical Research Atmospheres. 114(A3). 10 indexed citations
6.
Jee, Geonhwa, A. G. Burns, R. W. Schunk, et al.. (2006). Continual Initialization of The TING Model with GAIM Electron Densities: Ionospheric Effects on The Thermosphere. AGU Fall Meeting Abstracts. 2006. 2 indexed citations
7.
Kokoszka, Piotr, et al.. (2006). Probability tails of wavelet coefficients of magnetometer records. Journal of Geophysical Research Atmospheres. 111(A6). 17 indexed citations
8.
Kokoszka, Piotr, et al.. (2006). Wavelet‐based index of magnetic storm activity. Journal of Geophysical Research Atmospheres. 111(A9). 30 indexed citations
9.
Scherliess, L., R. W. Schunk, J. J. Sojka, D. C. Thompson, & L. Zhu. (2005). Comparison of the USU GAIM ionospheric plasma densities with Arecibo ISR observations. AGUSM. 2005. 4 indexed citations
10.
Sojka, J. J., et al.. (1999). Resolving geomagnetic disturbances using “K-like” geomagnetic indices with variable time intervals. Journal of Atmospheric and Solar-Terrestrial Physics. 61(15). 1179–1194. 7 indexed citations
11.
Zhu, L., R. W. Schunk, & J. J. Sojka. (1999). Effects of magnetospheric precipitation and ionospheric conductivity on the ground magnetic signatures of traveling convection vortices. Journal of Geophysical Research Atmospheres. 104(A4). 6773–6781. 8 indexed citations
12.
Schunk, R. W., L. Zhu, J. J. Sojka, & M. D. Bowline. (1997). Ionospheric response to an auroral substorm. Geophysical Research Letters. 24(16). 1979–1982. 5 indexed citations
13.
Sojka, J. J., et al.. (1995). A correlative comparison of the ring current and auroral electrojets using geomagnetic indices. Journal of Geophysical Research Atmospheres. 100(A1). 97–105. 28 indexed citations
14.
Sojka, J. J., et al.. (1994). Modeling Sun‐aligned polar cap arcs. Radio Science. 29(1). 269–281. 11 indexed citations
15.
Sojka, J. J., et al.. (1994). Correction to “Effect of high‐latitude ionospheric convection in Sun‐aligned polar cap arcs”. Journal of Geophysical Research Atmospheres. 99(A7). 13281–13281. 1 indexed citations
16.
Zhu, L., et al.. (1993). A time‐dependent model of polar cap arcs. Journal of Geophysical Research Atmospheres. 98(A4). 6139–6150. 29 indexed citations
17.
Zhu, L. & J. R. Kan. (1990). Relationship between four‐cell and distorted two‐cell convection patterns during northward IMF. Geophysical Research Letters. 17(13). 2325–2328. 8 indexed citations
18.
Zhu, L. & J. R. Kan. (1990). Effects of ionospheric recombination time scale on the auroral signature of substorms. Journal of Geophysical Research Atmospheres. 95(A7). 10389–10398. 15 indexed citations
19.
Weimer, D. R., et al.. (1990). Saturation of the auroral electrojet current and the polar cap potential. Journal of Geophysical Research Atmospheres. 95(A11). 18981–18987. 45 indexed citations
20.
Kan, J. R., L. Zhu, & S.‐I. Akasofu. (1988). A theory of substorms: Onset and subsidence. Journal of Geophysical Research Atmospheres. 93(A6). 5624–5640. 126 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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