Junmin Meng

1.9k total citations
147 papers, 1.4k citations indexed

About

Junmin Meng is a scholar working on Oceanography, Atmospheric Science and Aerospace Engineering. According to data from OpenAlex, Junmin Meng has authored 147 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Oceanography, 52 papers in Atmospheric Science and 30 papers in Aerospace Engineering. Recurrent topics in Junmin Meng's work include Ocean Waves and Remote Sensing (76 papers), Oceanographic and Atmospheric Processes (56 papers) and Arctic and Antarctic ice dynamics (38 papers). Junmin Meng is often cited by papers focused on Ocean Waves and Remote Sensing (76 papers), Oceanographic and Atmospheric Processes (56 papers) and Arctic and Antarctic ice dynamics (38 papers). Junmin Meng collaborates with scholars based in China, United States and Germany. Junmin Meng's co-authors include Jie Zhang, Lina Sun, Chenqing Fan, Xi Zhang, Haitao Lang, Xi Zhang, Jing Wang, Yong Wan, Xi Zhang and Yongjun Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Junmin Meng

131 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junmin Meng China 19 806 408 363 199 128 147 1.4k
Camilla Brekke Norway 22 1.5k 1.9× 360 0.9× 412 1.1× 264 1.3× 74 0.6× 87 2.6k
Nicolas Longépé Italy 18 272 0.3× 305 0.7× 329 0.9× 109 0.5× 32 0.3× 82 1.0k
Fanlin Yang China 22 634 0.8× 267 0.7× 145 0.4× 301 1.5× 151 1.2× 128 1.7k
Jiancheng Li China 20 636 0.8× 151 0.4× 486 1.3× 109 0.5× 24 0.2× 113 1.3k
C. Tison France 16 337 0.4× 227 0.6× 653 1.8× 181 0.9× 111 0.9× 51 1.2k
Wooil M. Moon Canada 26 331 0.4× 277 0.7× 507 1.4× 246 1.2× 90 0.7× 147 2.0k
Yanxiong Liu China 16 399 0.5× 124 0.3× 389 1.1× 99 0.5× 42 0.3× 73 936
Xiufeng He China 21 591 0.7× 277 0.7× 934 2.6× 91 0.5× 35 0.3× 161 1.7k
Leif E. B. Eriksson Sweden 20 170 0.2× 467 1.1× 378 1.0× 147 0.7× 48 0.4× 101 1.6k
Jens Nieke Netherlands 18 400 0.5× 531 1.3× 464 1.3× 75 0.4× 24 0.2× 89 1.7k

Countries citing papers authored by Junmin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Junmin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junmin Meng

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

All Works

20 of 20 papers shown
1.
Wang, Jing, et al.. (2024). The Influence of Optical Imaging Features and Stratification Parameters on the Inversion of ISW Amplitudes. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 1 indexed citations
2.
Fan, Chenqing, et al.. (2024). Study of the ability of SWOT to detect sea surface height changes caused by internal solitary waves. Acta Oceanologica Sinica. 43(5). 54–64. 1 indexed citations
3.
Meng, Junmin, et al.. (2024). Remote Sensing Techniques for Detecting Internal Solitary Waves: A comprehensive review and prospects. IEEE Geoscience and Remote Sensing Magazine. 12(4). 46–78. 5 indexed citations
4.
Wang, Jing, et al.. (2024). Study on the Characteristics of Internal Solitary Waves in Arctic Kara Sea Based on SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13.
5.
Fang, Yuxin, et al.. (2024). A Two-Stage Strategy for Retrieving 2-D Ocean Wave Spectra From Chinese Gaofen-3 SAR Wave Mode Products. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 10013–10031.
6.
Meng, Junmin, et al.. (2024). Study on the Forecasting of Internal Solitary Wave Propagation in the Andaman Sea Using Joint Ascending-Descending Orbit Sentinel-1A Data and Machine Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 2563–2576.
7.
8.
Meng, Junmin, et al.. (2023). Dictionary Learning for Few-Shot Remote Sensing Scene Classification. Remote Sensing. 15(3). 773–773. 5 indexed citations
9.
Wang, Jing, Zhe Chang, Tengfei Liu, et al.. (2023). Study on Optical Imaging Signals of Rough Surfaces Caused by ISWs in the Ocean. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–14. 3 indexed citations
10.
Meng, Junmin, et al.. (2022). Oceanic Internal Wave Signature Extraction in the Sulu Sea by a Pixel Attention U-Net: PAU-Net. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 10 indexed citations
11.
Xu, Ying, Danièle Hauser, Jianqiang Liu, et al.. (2022). Statistical Comparison of Ocean Wave Directional Spectra Derived From SWIM/CFOSAT Satellite Observations and From Buoy Observations. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 13 indexed citations
12.
Gibert, F., Jacqueline Boutin, Wolfgang Dierking, et al.. (2021). Results of the Dragon 4 Project on New Ocean Remote Sensing Data for Operational Applications. Remote Sensing. 13(14). 2847–2847. 2 indexed citations
13.
Zhang, Jie, Xi Zhang, Chenqing Fan, & Junmin Meng. (2016). Discussion on Application of Polarimetric Synthetic Aperture Radar in Marine Surveillance. SHILAP Revista de lepidopterología. 8 indexed citations
14.
Zhang, Xi, Wolfgang Dierking, Jie Zhang, Junmin Meng, & Haitao Lang. (2016). Retrieval of the thickness of undeformed sea ice from simulated C-band compact polarimetric SAR images. ˜The œcryosphere. 10(4). 1529–1545. 18 indexed citations
15.
Fan, Chenqing, et al.. (2014). Significant wave height operational inversion algorithm of HY-2A altimeter. 36(3). 121–126. 1 indexed citations
16.
Meng, Junmin, et al.. (2013). Feature extraction and its criticality analysis for oil spill detection in synthetic aperture radar images. Acta Oceanologica Sinica. 35(1). 85–93. 2 indexed citations
17.
Wang, Jing, Kai Guo, & Junmin Meng. (2012). Study of the Propagation Model for Large-Amplitude Internal Waves in Deep Sea. 39. 3 indexed citations
18.
Meng, Junmin. (2011). Ship Target Detection Algorithm Based on G~0 Distribution for SAR Images under Rough Sea Conditions. Haiyang kexue jinzhan. 1 indexed citations
19.
Meng, Junmin. (2010). The capability analysis of ship classification by structure feature using SAR images. Acta Oceanologica Sinica. 6 indexed citations
20.
Meng, Junmin, et al.. (2006). Synergy Envisat ASAR, ERS-2 SAR, RADARSATSAR, Landsat TM and MODIS Images to Research Propagation Features of Internal Solitary Waves in Northern of South China Sea. ESASP. 613. 37. 1 indexed citations

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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