Pengfei Xue

2.6k total citations
91 papers, 1.7k citations indexed

About

Pengfei Xue is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Pengfei Xue has authored 91 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 27 papers in Oceanography. Recurrent topics in Pengfei Xue's work include Climate variability and models (25 papers), Oceanographic and Atmospheric Processes (24 papers) and Meteorological Phenomena and Simulations (13 papers). Pengfei Xue is often cited by papers focused on Climate variability and models (25 papers), Oceanographic and Atmospheric Processes (24 papers) and Meteorological Phenomena and Simulations (13 papers). Pengfei Xue collaborates with scholars based in United States, China and United Kingdom. Pengfei Xue's co-authors include Chenfu Huang, Elfatih A. B. Eltahir, Changsheng Chen, Robert C. Beardsley, Xinyu Ye, Huichan Lin, Pingxing Ding, Gangfeng Ma, Philip Chu and Jianzhong Ge and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

Pengfei Xue

83 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengfei Xue United States 22 672 589 572 279 258 91 1.7k
Kai Myrberg Finland 21 1.4k 2.1× 612 1.0× 719 1.3× 127 0.5× 323 1.3× 57 2.3k
Joo‐Hyung Ryu South Korea 24 1.3k 2.0× 421 0.7× 755 1.3× 243 0.9× 641 2.5× 130 2.4k
Victor Klemas United States 32 1.1k 1.7× 488 0.8× 1.1k 1.9× 277 1.0× 1.1k 4.1× 49 2.9k
Jun Zhao China 24 861 1.3× 155 0.3× 442 0.8× 170 0.6× 486 1.9× 112 1.6k
Andrew D. Heap Australia 14 328 0.5× 493 0.8× 596 1.0× 253 0.9× 464 1.8× 28 2.2k
Chao Chen China 22 185 0.3× 362 0.6× 707 1.2× 191 0.7× 453 1.8× 124 1.6k
Wim Klaassen Netherlands 21 248 0.4× 964 1.6× 976 1.7× 224 0.8× 347 1.3× 44 2.0k
Konstantinos Topouzelis Greece 27 914 1.4× 93 0.2× 479 0.8× 354 1.3× 467 1.8× 82 2.7k
Tom Beer Australia 21 172 0.3× 276 0.5× 485 0.8× 148 0.5× 203 0.8× 100 1.9k

Countries citing papers authored by Pengfei Xue

Since Specialization
Citations

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

Fields of papers citing papers by Pengfei Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengfei Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Xue. A scholar is included among the top collaborators of Pengfei Xue 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 Pengfei Xue. Pengfei Xue 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.
Thomas, Jobin, et al.. (2025). Development of a HAND-based flood risk assessment tool in Google Earth Engine for a data-scarce region in the US. Journal of Great Lakes Research. 51(4). 102510–102510. 1 indexed citations
2.
Woolway, R. Iestyn, et al.. (2025). Subsurface heatwaves in lakes. Nature Climate Change. 15(5). 554–559. 5 indexed citations
3.
Xue, Pengfei, et al.. (2024). The Origin of Magnetofossil Coercivity Components: Constraints From Coupled Experimental Observations and Micromagnetic Calculations. Journal of Geophysical Research Solid Earth. 129(10). 3 indexed citations
4.
Yang, Zhao, Yun Qian, TC Chakraborty, et al.. (2024). Summer Convective Precipitation Changes Over the Great Lakes Region Under a Warming Scenario. Journal of Geophysical Research Atmospheres. 129(14).
5.
Huang, Chenfu, Yun Qian, Zhao Yang, et al.. (2024). How Could Future Climate Conditions Reshape a Devastating Lake‐Effect Snow Storm?. Earth s Future. 12(6). 1 indexed citations
6.
Zhu, Longhuan, Pengfei Xue, Guy Meadows, et al.. (2024). Trends of Sediment Resuspension and Budget in Southern Lake Michigan Under Changing Wave Climate and Hydrodynamic Environment. Journal of Geophysical Research Oceans. 129(4). 4 indexed citations
7.
Wang, Jiali, Yun Qian, William Pringle, et al.. (2023). Contrasting effects of lake breeze and urbanization on heat stress in Chicago metropolitan area. Urban Climate. 48. 101429–101429. 20 indexed citations
8.
Huang, Chenfu, William Pringle, TC Chakraborty, et al.. (2023). Insights on Simulating Summer Warming of the Great Lakes: Understanding the Behavior of a Newly Developed Coupled Lake‐Atmosphere Modeling System. Journal of Advances in Modeling Earth Systems. 15(7). 9 indexed citations
9.
Chaffin, Justin D., et al.. (2023). Forecasting microcystin concentrations in Lake Erie using an Eulerian tracer model. Journal of Great Lakes Research. 49(5). 1029–1044. 3 indexed citations
10.
Jiang, Peishi, Zhao Yang, Chenfu Huang, et al.. (2023). Efficient Super‐Resolution of Near‐Surface Climate Modeling Using the Fourier Neural Operator. Journal of Advances in Modeling Earth Systems. 15(7). 17 indexed citations
11.
Xue, Pengfei, et al.. (2022). Integrating Deep Learning and Hydrodynamic Modeling to Improve the Great Lakes Forecast. Remote Sensing. 14(11). 2640–2640. 13 indexed citations
12.
Auer, Martin, et al.. (2021). Open Lake Phosphorus Forcing of Cladophora Growth: Modeling the Dual Challenge in Great Lakes Trophic State Management. Water. 13(19). 2680–2680. 2 indexed citations
13.
Huang, Chenfu, Eric J. Anderson, Yi Liu, et al.. (2021). Evaluating essential processes and forecast requirements for meteotsunami-induced coastal flooding. Natural Hazards. 110(3). 1693–1718. 20 indexed citations
14.
Ye, Xinyu, Philip Chu, Eric J. Anderson, et al.. (2020). Improved thermal structure simulation and optimized sampling strategy for Lake Erie using a data assimilative model. Journal of Great Lakes Research. 46(1). 144–158. 10 indexed citations
15.
Shi, Qi & Pengfei Xue. (2019). Impact of Lake Surface Temperature Variations on Lake Effect Snow Over the Great Lakes Region. Journal of Geophysical Research Atmospheres. 124(23). 12553–12567. 31 indexed citations
16.
Huang, Chenfu, et al.. (2019). Management Transition to the Great Lakes Nearshore: Insights from Hydrodynamic Modeling. Journal of Marine Science and Engineering. 7(5). 129–129. 13 indexed citations
17.
Ye, Xinyu, Eric J. Anderson, Philip Chu, Chenfu Huang, & Pengfei Xue. (2018). Impact of Water Mixing and Ice Formation on the Warming of Lake Superior: A Model‐guided Mechanism Study. Limnology and Oceanography. 64(2). 558–574. 42 indexed citations
18.
Xue, Pengfei, et al.. (2017). A New Network Steganographic Method Based on the Transverse Multi-Protocol Collaboration.. J. Inf. Hiding Multim. Signal Process.. 8. 445–459. 5 indexed citations
19.
Xue, Pengfei, David J. Schwab, & Song Hu. (2015). An investigation of the thermal response to meteorological forcing in a hydrodynamic model of Lake Superior. Journal of Geophysical Research Oceans. 120(7). 5233–5253. 64 indexed citations
20.
Xue, Pengfei & Elfatih A. B. Eltahir. (2015). Estimation of the Heat and Water Budgets of the Persian (Arabian) Gulf using a two-way, coupled Gulf-atmosphere regional model (GARM). AGUFM. 2015. 2 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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