Weilin Pan

539 total citations
21 papers, 400 citations indexed

About

Weilin Pan is a scholar working on Atmospheric Science, Astronomy and Astrophysics and Global and Planetary Change. According to data from OpenAlex, Weilin Pan has authored 21 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 13 papers in Astronomy and Astrophysics and 13 papers in Global and Planetary Change. Recurrent topics in Weilin Pan's work include Atmospheric Ozone and Climate (16 papers), Ionosphere and magnetosphere dynamics (11 papers) and Atmospheric aerosols and clouds (9 papers). Weilin Pan is often cited by papers focused on Atmospheric Ozone and Climate (16 papers), Ionosphere and magnetosphere dynamics (11 papers) and Atmospheric aerosols and clouds (9 papers). Weilin Pan collaborates with scholars based in China, United States and United Kingdom. Weilin Pan's co-authors include Chester S. Gardner, Xinzhao Chu, George C. Papen, Jerry A. Gelbwachs, T. Vondrák, Benjamin J. Murray, J. M. C. Plane, Daren Lü, J. P. Thayer and Ping Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

Weilin Pan

19 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weilin Pan China	10	299	244	180	49	24	21	400
James P. Sherman United States	11	311 1.0×	152 0.6×	205 1.1×	59 1.2×	8 0.3×	19	394
P. S. Argall Canada	12	260 0.9×	151 0.6×	188 1.0×	13 0.3×	19 0.8×	20	355
Ronald Eixmann Germany	10	494 1.7×	71 0.3×	482 2.7×	47 1.0×	17 0.7×	16	589
D. K. Chakrabarty India	11	286 1.0×	251 1.0×	117 0.7×	20 0.4×	14 0.6×	56	407
Y. Bhavani Kumar India	13	362 1.2×	156 0.6×	276 1.5×	47 1.0×	4 0.2×	45	439
Lawrence V. Lyjak United States	13	714 2.4×	229 0.9×	533 3.0×	18 0.4×	26 1.1×	23	759
Ian Boyd United States	13	730 2.4×	89 0.4×	593 3.3×	21 0.4×	59 2.5×	35	770
Simon Chabrillat Belgium	17	716 2.4×	203 0.8×	533 3.0×	41 0.8×	33 1.4×	52	783
Daniel Toledo Spain	13	273 0.9×	302 1.2×	166 0.9×	26 0.5×	32 1.3×	45	511
S. M. L. Melo Canada	14	406 1.4×	364 1.5×	156 0.9×	5 0.1×	27 1.1×	39	534

Countries citing papers authored by Weilin Pan

Since Specialization

Citations

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

Fields of papers citing papers by Weilin Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weilin Pan

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

All Works

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20 of 20 papers shown

Deng, Zhaoze, Liang Ran, Xiaobin Xu, et al.. (2024). Size-resolved cloud condensation nuclei activity of aerosol particles sampled above the mixing layer. Aerosol Science and Technology. 58(5). 485–497. 1 indexed citations

Hu, Xiong, et al.. (2022). Atmospheric Gravity Wave Potential Energy Observed by Rayleigh Lidar above Jiuquan (40° N, 95° E), China. Atmosphere. 13(7). 1098–1098. 4 indexed citations

Hu, Xiong, et al.. (2022). Mesospheric Gravity Wave Potential Energy Density Observed by Rayleigh Lidar above Golmud (36.25° N, 94.54° E), Tibetan Plateau. Atmosphere. 13(7). 1084–1084. 6 indexed citations

Liu, Fuchao, Fan Yi, Wentao Huang, et al.. (2021). Pure rotational Raman lidar for full-day troposphere temperature measurement at Zhongshan Station (69.37°S, 76.37°E), Antarctica. Optics Express. 29(7). 10059–10059. 13 indexed citations

Pan, Weilin, et al.. (2020). Seasonal Variations of Mesospheric Densities Observed by Rayleigh Lidar at Golmud, Qinghai. Chinese Journal of Space Science. 40(2). 207–207.

Pan, Weilin, et al.. (2019). Characterization of Mesospheric Inversion Layer with Rayleigh Lidar Data over Golmud. Chinese Journal of Space Science. 39(1). 84–84. 1 indexed citations

Pan, Weilin, et al.. (2019). An approach for improving the NRLMSISE-00 model using a radiosonde at Golmud of the Tibetan Plateau. Meteorology and Atmospheric Physics. 132(4). 451–459. 2 indexed citations

Lü, Daren, Weilin Pan, & Yinan Wang. (2018). Atmospheric profiling synthetic observation system in Tibet. Advances in Atmospheric Sciences. 35(3). 264–267. 10 indexed citations

Pan, Weilin, et al.. (2017). A Data Preprocessing Method and Preliminary Results of All-sky Airglow Image. Chinese Journal of Space Science. 37(1). 94–94. 1 indexed citations

10.

Ran, Liang, Zhaoze Deng, Xiaobin Xu, et al.. (2016). Vertical profiles of black carbon measured by a micro-aethalometer in summerin the North China Plain. Atmospheric chemistry and physics. 16(16). 10441–10454. 66 indexed citations

11.

Wang, Yinan, Daren Lü, Weilin Pan, & Kee Yuan. (2016). A Case Study on Observed and Simulated CO₂Concentration Profiles in Hefei based on Raman Lidar and GEOS-Chem Model. SHILAP Revista de lepidopterología. 119. 5019–5019. 1 indexed citations

12.

Pan, Weilin, et al.. (2016). Winter Mesospheric Thermal Structure over Tibetan Plateau. SHILAP Revista de lepidopterología. 119. 13010–13010. 1 indexed citations

13.

Yang, Jing, et al.. (2014). Ground-based observations of unusual atmospheric light emissions. Journal of Meteorological Research. 28(4). 624–633. 2 indexed citations

14.

Pan, Weilin, et al.. (2013). Atmospheric profiling synthetic observation system (APSOS). AIP conference proceedings. 244–247. 6 indexed citations

15.

Thayer, J. P. & Weilin Pan. (2005). Lidar observations of sodium density depletions in the presence of polar mesospheric clouds. Journal of Atmospheric and Solar-Terrestrial Physics. 68(1). 85–92. 16 indexed citations

16.

Pan, Weilin & Chester S. Gardner. (2003). Seasonal variations of the atmospheric temperature structure at South Pole. Journal of Geophysical Research Atmospheres. 108(D18). 31 indexed citations

17.

Chu, Xinzhao, Weilin Pan, George C. Papen, Chester S. Gardner, & Jerry A. Gelbwachs. (2002). Fe Boltzmann temperature lidar: design, error analysis, and initial results at the North and South Poles. Applied Optics. 41(21). 4400–4400. 70 indexed citations

18.

Pan, Weilin, Chester S. Gardner, & R. G. Roble. (2002). The temperature structure of the winter atmosphere at South Pole. Geophysical Research Letters. 29(16). 16 indexed citations

19.

Gardner, Chester S., George C. Papen, Xinzhao Chu, & Weilin Pan. (2001). First lidar observations of middle atmosphere temperatures, Fe densities, and polar mesospheric clouds over the north and south poles. Geophysical Research Letters. 28(7). 1199–1202. 51 indexed citations

20.

Chu, Xinzhao, Weilin Pan, George C. Papen, et al.. (2000). Characteristics of Fe ablation trails observed during the 1998 Leonid Meteor Shower. Geophysical Research Letters. 27(13). 1807–1810. 22 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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