Linlin Pan

636 total citations
27 papers, 398 citations indexed

About

Linlin Pan is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Linlin Pan has authored 27 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atmospheric Science, 19 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Linlin Pan's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Tropical and Extratropical Cyclones Research (4 papers). Linlin Pan is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (16 papers) and Tropical and Extratropical Cyclones Research (4 papers). Linlin Pan collaborates with scholars based in United States, China and Australia. Linlin Pan's co-authors include Tim Li, Yubao Liu, Yuewei Liu, Gregory Roux, Quinn Hart, Daniel R. Cayan, Minghua Zhang, Jianzhong Wang, Shu‐Hua Chen and Fei‐Fei Jin and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Linlin Pan

24 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linlin Pan United States	11	337	323	109	45	18	27	398
Ulf Andrae Sweden	6	211 0.6×	256 0.8×	65 0.6×	53 1.2×	13 0.7×	8	328
Albenis Pérez‐Alarcón Cuba	13	344 1.0×	305 0.9×	121 1.1×	67 1.5×	35 1.9×	52	436
Ole Vignes Norway	6	177 0.5×	211 0.7×	50 0.5×	51 1.1×	15 0.8×	7	267
Richard Renshaw United Kingdom	9	550 1.6×	542 1.7×	70 0.6×	74 1.6×	37 2.1×	17	640
Cheng Shen China	13	375 1.1×	301 0.9×	62 0.6×	50 1.1×	8 0.4×	34	459
Wen Xing China	9	347 1.0×	307 1.0×	125 1.1×	35 0.8×	12 0.7×	18	373
Huiling Qin Japan	12	344 1.0×	326 1.0×	225 2.1×	25 0.6×	16 0.9×	23	484
S. Indira Rani India	11	427 1.3×	437 1.4×	130 1.2×	75 1.7×	33 1.8×	40	555
John P. George India	14	556 1.6×	584 1.8×	94 0.9×	112 2.5×	38 2.1×	50	698
Xiaqiong Zhou United States	15	529 1.6×	594 1.8×	169 1.6×	64 1.4×	28 1.6×	21	667

Countries citing papers authored by Linlin Pan

Since Specialization

Citations

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

Fields of papers citing papers by Linlin Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linlin Pan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Rui, Haitao Shi, Linlin Pan, et al.. (2024). One-step hydrothermal preparation of CeMo-codoped Ni3S2 as robust bifunctional electrocatalyst for urea oxidation and methanol oxidation. Journal of Alloys and Compounds. 1002. 175467–175467. 10 indexed citations

Shi, Haitao, Chongchong Wang, Linlin Pan, et al.. (2024). Ultra-low potential formaldehyde electrooxidation to formate and H ₂ on an Ag/Ag ₂O heterostructure catalyst. Nano Research. 18(2). 94907110–94907110.

Pan, Linlin, et al.. (2024). Experimental study on dynamic elastic modulus loss of concrete broken by high voltage pulse discharge based on orthogonal design. Scientific Reports. 14(1). 21299–21299.

Nelson, Bruce, et al.. (2024). Multi-season evaluation of hurricane analysis and forecast system (HAFS) quantitative precipitation forecasts. Frontiers in Earth Science. 12.

Heinzeller, Dominikus, et al.. (2023). A Case Study Investigating the Low Summertime CAPE Behavior in the Global Forecast System. Weather and Forecasting. 39(1). 3–17. 2 indexed citations

Pan, Linlin, Yubao Liu, Gregory Roux, et al.. (2021). Seasonal variation of the surface wind forecast performance of the high-resolution WRF-RTFDDA system over China. Atmospheric Research. 259. 105673–105673. 17 indexed citations

Ji, Deluo, et al.. (2020). Synthesis of 2,2′-dibenzoylaminodiphenyl disulfide based on Aspen Plus simulation and the development of green synthesis processes. Green Processing and Synthesis. 9(1). 248–258. 1 indexed citations

Cao, Yijia, et al.. (2019). Ensemble interpolation of missing wind turbine nacelle wind speed data in wind farms based on robust particle swarm optimized generalized regression neural network. International Journal of Green Energy. 16(14). 1210–1219. 6 indexed citations

Gochis, David, Michael Barlage, A. L. Dugger, et al.. (2018). WRF-Hydro Model Source Code Version 5. UCAR/NCAR. 16 indexed citations

10.

Huang, Yongjie, Yubao Liu, Mei Xu, et al.. (2018). Forecasting severe convective storms with WRF-based RTFDDA radar data assimilation in Guangdong, China. Atmospheric Research. 209. 131–143. 22 indexed citations

11.

Pan, Linlin, Yubao Liu, Jason C. Knievel, Luca Delle Monache, & Gregory Roux. (2018). Evaluations of WRF Sensitivities in Surface Simulations with an Ensemble Prediction System. Atmosphere. 9(3). 106–106. 11 indexed citations

12.

Zhang, Yongxin, Yubao Liu, Paul A. Kucera, et al.. (2015). Dust modeling over Saudi Arabia using WRF-Chem: March 2009 severe dust case. Atmospheric Environment. 119. 118–130. 19 indexed citations

13.

Grotjahn, Richard, Linlin Pan, & Joseph Tribbia. (2011). Sources of CAM3 vorticity bias during northern winter from diagnostic study of the vorticity equation. Climate Dynamics. 36(11-12). 2051–2075. 1 indexed citations

14.

Pan, Linlin, Richard Grotjahn, & Joseph Tribbia. (2009). Sources of CAM3 temperature bias during northern winter from diagnostic study of the temperature bias equation. Climate Dynamics. 35(7-8). 1411–1427. 3 indexed citations

15.

Pan, Linlin. (2007). Synoptic eddy feedback and air–sea interaction in the North Atlantic region. Climate Dynamics. 29(6). 647–659. 10 indexed citations

16.

Pan, Linlin & Tim Li. (2007). Interactions between the tropical ISO and midlatitude low-frequency flow. Climate Dynamics. 31(4). 375–388. 48 indexed citations

17.

Pan, Linlin & Fei‐Fei Jin. (2005). Seasonality of synoptic eddy feedback and the AO/NAO. Geophysical Research Letters. 32(21). 10 indexed citations

18.

Pan, Linlin. (2005). Observed positive feedback between the NAO and the North Atlantic SSTA tripole. Geophysical Research Letters. 32(6). 107 indexed citations

19.

Wang, Qing, Karsten Suhre, Paul B. Krummel, et al.. (1999). Characteristics of marine boundary layers during two Lagrangian measurement periods: 1. General conditions and mean characteristics. Journal of Geophysical Research Atmospheres. 104(D17). 21751–21765. 10 indexed citations

20.

Wang, Qing, Donald H. Lenschow, Linlin Pan, et al.. (1999). Characteristics of the marine boundary layers during two Lagrangian measurement periods: 2. Turbulence structure. Journal of Geophysical Research Atmospheres. 104(D17). 21767–21784. 21 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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