Xun Zhu

2.4k total citations
83 papers, 1.6k citations indexed

About

Xun Zhu is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, Xun Zhu has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Astronomy and Astrophysics, 44 papers in Atmospheric Science and 17 papers in Global and Planetary Change. Recurrent topics in Xun Zhu's work include Atmospheric Ozone and Climate (36 papers), Ionosphere and magnetosphere dynamics (32 papers) and Solar and Space Plasma Dynamics (22 papers). Xun Zhu is often cited by papers focused on Atmospheric Ozone and Climate (36 papers), Ionosphere and magnetosphere dynamics (32 papers) and Solar and Space Plasma Dynamics (22 papers). Xun Zhu collaborates with scholars based in United States, China and South Africa. Xun Zhu's co-authors include D. F. Strobel, M. E. Summers, J. Yee, E. R. Talaat, James R. Holton, V. I. Fomichev, R. A. Akmaev, M. H. Stevens, James C. Spall and Stephen D. Eckermann and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Physics Letters B.

In The Last Decade

Xun Zhu

80 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xun Zhu United States 22 1.2k 893 292 115 98 83 1.6k
O. R. White United States 25 1.8k 1.5× 763 0.9× 200 0.7× 198 1.7× 154 1.6× 75 2.2k
L. Floyd United States 15 854 0.7× 600 0.7× 179 0.6× 56 0.5× 53 0.5× 40 1.1k
Lawrence A. Sromovsky United States 30 1.9k 1.6× 1.1k 1.3× 608 2.1× 190 1.7× 81 0.8× 93 2.6k
Y. C. Unruh United Kingdom 30 2.4k 1.9× 546 0.6× 253 0.9× 104 0.9× 60 0.6× 75 2.6k
J. M. Fontenla United States 28 2.7k 2.2× 1.0k 1.1× 343 1.2× 264 2.3× 73 0.7× 78 3.1k
H. G. Roe United States 25 1.5k 1.3× 486 0.5× 86 0.3× 59 0.5× 20 0.2× 80 1.7k
J. D. Goguen United States 24 1.3k 1.0× 358 0.4× 137 0.5× 51 0.4× 33 0.3× 90 1.5k
M. Ya. Marov Russia 21 1.4k 1.2× 362 0.4× 262 0.9× 43 0.4× 27 0.3× 132 1.6k
B. T. Marshall United States 25 1.5k 1.2× 1.6k 1.8× 673 2.3× 132 1.1× 120 1.2× 76 2.0k
D. Grassi Italy 25 1.2k 1.0× 403 0.5× 256 0.9× 72 0.6× 13 0.1× 112 1.5k

Countries citing papers authored by Xun Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Xun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Zhu. A scholar is included among the top collaborators of Xun 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 Xun Zhu. Xun 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.
2.
Jiang, Yuqiang, et al.. (2023). Pore‐throat structure characteristics and fluid mobility analysis of tight sandstone reservoirs in Shaximiao Formation, Central Sichuan. Geological Journal. 58(11). 4243–4256. 8 indexed citations
3.
Sawyer, C. A., et al.. (2017). Two-dimensional laser-induced thermal ablation modeling with integrated melt flow and vapor dynamics. Journal of Laser Applications. 29(2). 8 indexed citations
4.
Lellouch, E., Mark Gurwell, Bryan Butler, et al.. (2016). Detection of CO and HCN in Pluto’s atmosphere with ALMA. Icarus. 286. 289–307. 69 indexed citations
5.
McNutt, R. L., M. E. Hill, C. M. Lisse, et al.. (2015). Escape of Pluto's Atmosphere: In Situ Measurements from the Pluto Energetic Particle Spectrometer Science Investigation (PEPSSI) instrument on New Horizons and Remote Observations from the Chandra X-ray observatory. DPS. 47.
6.
Toigo, A. D., R. G. French, P. J. Gierasch, et al.. (2015). General circulation models of the dynamics of Pluto’s volatile transport on the eve of the New Horizons encounter. Icarus. 254. 306–323. 15 indexed citations
7.
Eckermann, Stephen D., Jun Ma, & Xun Zhu. (2010). Scale-dependent infrared radiative damping rates on Mars and their role in the deposition of gravity-wave momentum flux. Icarus. 211(1). 429–442. 30 indexed citations
8.
Talaat, E. R., et al.. (2007). Inter-annual variability of mesosphere and lower thermosphere tides. AGUSM. 2007. 1 indexed citations
9.
Zhu, Xun. (2005). Dynamics in planetary atmospheric physics : Comparative studies of equatorial superrotation for Venus, Titan, and Earth. Johns Hopkins APL technical digest. 26(2). 164–174. 1 indexed citations
10.
Zhu, Xun, J. Yee, & E. R. Talaat. (2001). Diagnosis of Dynamics and Energy Balance in the Mesosphere and Lower Thermosphere. Journal of the Atmospheric Sciences. 58(16). 2441–2454. 15 indexed citations
11.
Demajistre, R., J. Yee, & Xun Zhu. (2001). Parameterizations of oxygen photolysis and energy deposition rates due to solar energy absorption in the Schumann‐Runge Continuum. Geophysical Research Letters. 28(16). 3163–3166. 5 indexed citations
12.
Zhu, Xun, J. Yee, D. F. Strobel, Xueliang Wang, & R. A. Greenwald. (1999). On the numerical modelling of middle atmosphere tides. Quarterly Journal of the Royal Meteorological Society. 125(557). 1825–1857. 15 indexed citations
13.
Zhu, Xun, et al.. (1999). Numerical modeling of chemical‐dynamical coupling in the upper stratosphere and mesosphere. Journal of Geophysical Research Atmospheres. 104(D19). 23995–24011. 11 indexed citations
14.
Zhu, Xun, P. K. Swaminathan, J. Yee, D. F. Strobel, & Daniel C. Anderson. (1997). A globally balanced two‐dimensional middle atmosphere model: Dynamical studies of mesopause meridional circulation and stratosphere‐mesosphere exchange. Journal of Geophysical Research Atmospheres. 102(D11). 13095–13112. 12 indexed citations
15.
Zhu, Xun & Albert Arking. (1994). Comparison of Daily Averaged Reflection, Transmission, and Absorption for Selected Radiative Flux Transfer Approximations. Journal of the Atmospheric Sciences. 51(24). 3580–3592. 4 indexed citations
16.
Zhu, Xun & D. F. Strobel. (1990). On the role of vibration‐vibration transitions in radiative cooling of the CO2 15 μm band around the mesopause. Journal of Geophysical Research Atmospheres. 95(D4). 3571–3577. 14 indexed citations
17.
Summers, M. E., D. F. Strobel, R. M. Bevilacqua, et al.. (1990). A model study of the response of mesospheric ozone to short‐term solar ultraviolet flux variations. Journal of Geophysical Research Atmospheres. 95(D13). 22523–22538. 24 indexed citations
18.
Zhu, Xun. (1989). Radiative Cooling Calculated by Random Band Models with S-1-βTailed Distribution. Journal of the Atmospheric Sciences. 46(4). 511–520. 25 indexed citations
19.
Zhu, Xun. (1987). Inertio-Gravity Waves in the Middle Atmosphere.. PhDT. 1 indexed citations
20.
Zhu, Xun & James R. Holton. (1987). Mean Fields Induced by Local Gravity-Wave Forcing in the Middle Atmosphere. Journal of the Atmospheric Sciences. 44(3). 620–630. 44 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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