Jun Wei

918 citations
41 papers · 688 · h-index 16

Impact in

    • Oceanographic and Atmospheric Processes
    • Ocean Waves and Remote Sensing
    • Marine and coastal ecosystems
    • Tropical and Extratropical Cyclones Research
    • Meteorological Phenomena and Simulations

Papers in

    • Oceanographic and Atmospheric Processes 28
    • Ocean Waves and Remote Sensing 21
    • Underwater Acoustics Research 5
    • Marine and coastal ecosystems 4
    • Climate variability and models 23

Jun Wei

40 papers receiving 676 citations

Peers

Jun Wei
Comparison fields: 5 of 47
  • Oceanography 525
  • Atmospheric Science 350
  • Global and Planetary Change 350
  • Geology 80
  • Earth-Surface Processes 39
Replace Kyla Drushka with:
Kyla Drushka United States
Tsurane Kuragano Japan
Yannis Cuypers France
Futoki Sakaida Japan
Weigen Huang China
Clark Rowley United States
Stephen C. Riser United States
Alan Wallcraft United States
Shoichi Kizu Japan
Kenneth E. Prada United States
Jun Wei relative to Kyla Drushka United States Kyla Drushka's profile →
Citations per field
00.5×1.5×2.5×
Kyla Drushka · 1×
Citations per year

Countries citing papers authored by Jun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Wei, 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 Wei Line = papers co-authored together Jun Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201645
3 201841
4 201939
5 201338
6 202037
7 202033
8 200933
9 201427
10 201726
11 201923
12 201921
13 201521
14 201419
15 200918
16 200817
17 199215
18 201715
19 201914
20 201112

About Jun Wei

Jun Wei is a scholar working on Oceanography, Global and Planetary Change, Atmospheric Science, Aerospace Engineering and Geology, having authored 41 papers that have together received 688 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (28 papers), Climate variability and models (23 papers), Ocean Waves and Remote Sensing (21 papers), Tropical and Extratropical Cyclones Research (11 papers), Meteorological Phenomena and Simulations (8 papers), Underwater Acoustics Research (5 papers), Marine and coastal ecosystems (4 papers) and Geological and Geophysical Studies (2 papers). The work is most often cited by research in Oceanography (525 citations), Atmospheric Science (350 citations), Global and Planetary Change (350 citations), Geology (80 citations) and Earth-Surface Processes (39 citations). Jun Wei has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guoqing Jiang, Paola Malanotte‐Rizzoli, Xin Liu, Arnold L. Gordon, Jing Xu, Pengfei Xue, Elfatih A. B. Eltahir, Dongping Wang, Dongxiao Wang and Song Yang. Their work appears in journals such as Journal of Geophysical Research Oceans, Applied Sciences, Climate Dynamics, Geophysical Research Letters and Ocean Dynamics.

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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