Mingjun Wang

1.8k citations
59 papers · 1.4k · h-index 21

Impact in

    • Meteorological Phenomena and Simulations
    • Precipitation Measurement and Analysis
    • Tropical and Extratropical Cyclones Research
    • Climate variability and models
    • Atmospheric aerosols and clouds

Papers in

Mingjun Wang

56 papers receiving 1.4k citations

Peers

Mingjun Wang
Comparison fields: 5 of 133
  • Atmospheric Science 768
  • Global and Planetary Change 409
  • Environmental Engineering 162
  • Oceanography 111
  • Media Technology 58
Replace Wei Han with:
Wei Han China
Jianwen Ma China
Richard L. Bankert United States
Ali Ben Abbes Tunisia
Xiaohui Duan China
Abdolreza Safari Iran
Yanling Han China
Zhongwei Li China
Lei Yan China
Joseph A. Curcio United States
Mingjun Wang relative to Wei Han China Wei Han's profile →
Citations per field
00.5×2×2.8×
Wei Han · 1×
Citations per year

Countries citing papers authored by Mingjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012269
2 2016104
3 202190
4 201890
5 201769
6 201858
7 201955
8 201849
9 201638
10 200436
11 201936
12 201835
13 202034
14 200232
15 201630
16 202130
17 201529
18 201529
19 201926
20 202422

About Mingjun Wang

Mingjun Wang is a scholar working on Atmospheric Science, Global and Planetary Change, Environmental Engineering, Industrial and Manufacturing Engineering and Oceanography, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (22 papers), Tropical and Extratropical Cyclones Research (15 papers), Precipitation Measurement and Analysis (13 papers), Climate variability and models (12 papers), Ocean Waves and Remote Sensing (4 papers), Soil Moisture and Remote Sensing (4 papers), Industrial Vision Systems and Defect Detection (3 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Atmospheric Science (768 citations), Global and Planetary Change (409 citations), Environmental Engineering (162 citations), Oceanography (111 citations) and Media Technology (58 citations). Mingjun Wang has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Kun Zhao, Miao Liu, Duo Li, Jun Wang, Ming Xue, Hao Huang, Long Wen, Guifu Zhang, Wen‐Chau Lee and Gang Chen. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Advances in Atmospheric Sciences, Remote Sensing, Journal of Atmospheric and Oceanic Technology and Monthly Weather Review.

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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