Jun Wei

936 citations
42 papers · 708 · h-index 17

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 29
    • Ocean Waves and Remote Sensing 22
    • Underwater Acoustics Research 5
    • Marine and coastal ecosystems 4
    • Climate variability and models 24

Jun Wei

39 papers receiving 697 citations

Peers

Jun Wei
Comparison fields: 5 of 46
  • Oceanography 538
  • Atmospheric Science 358
  • Global and Planetary Change 354
  • Geology 87
  • Earth-Surface Processes 39
Replace Tsurane Kuragano with:
Tsurane Kuragano Japan
Kyla Drushka United States
Xueen Chen China
Liang Sun China
Yannis Cuypers France
Futoki Sakaida Japan
L.M. Mitnik Russia
Weigen Huang China
Clark Rowley United States
Stephen C. Riser United States
Jun Wei relative to Tsurane Kuragano Japan Tsurane Kuragano's profile →
Citations per field
00.5×6.5×
Tsurane Kuragano · 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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201894
2 201646
3 201844
4 201939
5 202038
6 201338
7 202037
8 200934
9 201428
10 201727
11 201926
12 201923
13 201521
14 201419
15 200918
16 200817
17 201916
18 199215
19 201715
20 202113

About Jun Wei

Jun Wei is a scholar working on Oceanography, Global and Planetary Change, Atmospheric Science, Aerospace Engineering and Geology, having authored 42 papers that have together received 708 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (29 papers), Climate variability and models (24 papers), Ocean Waves and Remote Sensing (22 papers), Tropical and Extratropical Cyclones Research (12 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 (538 citations), Atmospheric Science (358 citations), Global and Planetary Change (354 citations), Geology (87 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, Arnold L. Gordon, Xin Liu, Jing Xu, Pengfei Xue, Elfatih A. B. Eltahir, Dongxiao Wang, Dongping Wang and Song Yang. Their work appears in journals such as Journal of Geophysical Research Oceans, Applied Sciences, Climate Dynamics, Ocean Dynamics and Geophysical Research Letters.

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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