Jun Wen

5.5k citations
151 papers · 3.4k · h-index 33

Impact in

Papers in

    • Climate change and permafrost 76
    • Cryospheric studies and observations 56
    • Meteorological Phenomena and Simulations 22
    • Precipitation Measurement and Analysis 19
    • Soil Moisture and Remote Sensing 70

Jun Wen

147 papers receiving 3.3k citations

Peers

Jun Wen
Comparison fields: 5 of 86
  • Environmental Engineering 1.9k
  • Atmospheric Science 2.3k
  • Global and Planetary Change 1.2k
  • Water Science and Technology 544
  • Civil and Structural Engineering 533
Replace Thierry Pellarin with:
Thierry Pellarin France
Vahid Naeimi Austria
Clara Draper United States
Long Zhao China
Luca Ciabatta Italy
R. J. Gurney United Kingdom
Narendra N. Das United States
Robert Parinussa Australia
Jinyang Du China
Jun Wen relative to Thierry Pellarin France Thierry Pellarin's profile →
Citations per field
00.5×3.1×
Thierry Pellarin · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Wen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Wen Line = papers co-authored together Jun Wen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011327
2 2012124
3 2012113
4 201194
5 201187
6 200387
7 201673
8 201873
9 201173
10 201072
11 200367
12 201267
13 201866
14 201365
15 201962
16 201560
17 202156
18 201554
19 201852
20 201550

About Jun Wen

Jun Wen is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Water Science and Technology and Civil and Structural Engineering, having authored 151 papers that have together received 3.4k indexed citations. Recurring topics across this work include Climate change and permafrost (76 papers), Soil Moisture and Remote Sensing (70 papers), Cryospheric studies and observations (56 papers), Plant Water Relations and Carbon Dynamics (37 papers), Climate variability and models (30 papers), Meteorological Phenomena and Simulations (22 papers), Precipitation Measurement and Analysis (19 papers) and Hydrology and Watershed Management Studies (19 papers). The work is most often cited by research in Environmental Engineering (1.9k citations), Atmospheric Science (2.3k citations), Global and Planetary Change (1.2k citations), Water Science and Technology (544 citations) and Civil and Structural Engineering (533 citations). Jun Wen has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhongbo Su, R. van der Velde, Yijian Zeng, Laura Dente, Donghai Zheng, Kun Yang, Yaoming Ma, Xin Wang, Zuoliang Wang and Zhang Hu. Their work appears in journals such as Remote Sensing, Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing, Journal of Hydrometeorology and International Journal of Climatology.

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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