Pengling Wang

43 total papers · 1.3k total citations
36 papers, 929 citations indexed

About

Pengling Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Pengling Wang has authored 36 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Pengling Wang's work include Cryospheric studies and observations (12 papers), Climate variability and models (9 papers) and Climate change and permafrost (7 papers). Pengling Wang is often cited by papers focused on Cryospheric studies and observations (12 papers), Climate variability and models (9 papers) and Climate change and permafrost (7 papers). Pengling Wang collaborates with scholars based in China, United States and Finland. Pengling Wang's co-authors include Shichang Kang, Qinglong You, Tandong Yao, Lide Tian, Tonghua Wu, Deliang Chen, Bodo Ahrens, Panmao Zhai, Yuqing Zhang and Fangying Wu and has published in prestigious journals such as The Science of The Total Environment, Journal of Climate and Environmental Pollution.

In The Last Decade

Pengling Wang

34 papers receiving 915 citations

Hit Papers

Warming amplification ove... 2021 2026 2022 2024 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pengling Wang 662 418 144 81 53 36 929
Anja Eichler 874 1.3× 360 0.9× 155 1.1× 112 1.4× 35 0.7× 45 1.2k
D. Qin 911 1.4× 470 1.1× 281 2.0× 117 1.4× 35 0.7× 20 1.1k
Bin Liu 455 0.7× 209 0.5× 95 0.7× 164 2.0× 79 1.5× 43 830
Fei Yang 712 1.1× 267 0.6× 346 2.4× 84 1.0× 32 0.6× 31 1.0k
Monica M. Arienzo 649 1.0× 305 0.7× 169 1.2× 125 1.5× 30 0.6× 48 1.1k
Zhigang Cheng 692 1.0× 548 1.3× 121 0.8× 77 1.0× 54 1.0× 45 870
Nathan Chellman 822 1.2× 457 1.1× 196 1.4× 133 1.6× 24 0.5× 63 1.2k
Hui Liu 577 0.9× 457 1.1× 53 0.4× 76 0.9× 27 0.5× 51 810
Marco Proposito 775 1.2× 206 0.5× 82 0.6× 281 3.5× 51 1.0× 35 1.1k
Shijie Li 390 0.6× 215 0.5× 51 0.4× 119 1.5× 86 1.6× 72 797

Countries citing papers authored by Pengling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Pengling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengling Wang

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

All Works

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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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