Lin Ren

897 citations
66 papers · 682 · h-index 15

Impact in

Papers in

    • Ocean Waves and Remote Sensing 49
    • Oceanographic and Atmospheric Processes 36
    • Tropical and Extratropical Cyclones Research 9
    • Arctic and Antarctic ice dynamics 7
    • Precipitation Measurement and Analysis 6
    • Meteorological Phenomena and Simulations 6

Lin Ren

60 papers receiving 666 citations

Peers

Lin Ren
Comparison fields: 5 of 53
  • Oceanography 506
  • Earth-Surface Processes 193
  • Atmospheric Science 290
  • Environmental Engineering 98
  • Aerospace Engineering 104
Replace Xinzhe Yuan with:
Xinzhe Yuan China
Dong-Jiing Doong Taiwan
Merete Badger Denmark
Jungang Yang China
V. Kerbaol France
Katrin Hessner Germany
Chenqing Fan China
Weigen Huang China
J. Carswell United States
Birgit Schättler Germany
Lin Ren relative to Xinzhe Yuan China Xinzhe Yuan's profile →
Citations per field
00.5×1.7×
Xinzhe Yuan · 1×
Citations per year

Countries citing papers authored by Lin Ren

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201853
2 201850
3 201746
4 201745
5 202243
6 201731
7 201530
8 201830
9 202224
10 201722
11 201919
12 201819
13 201818
14 201618
15 202114
16 202113
17 202113
18 202112
19 201412
20 202012

About Lin Ren

Lin Ren is a scholar working on Oceanography, Atmospheric Science, Earth-Surface Processes, Aerospace Engineering and Environmental Engineering, having authored 66 papers that have together received 682 indexed citations. Recurring topics across this work include Ocean Waves and Remote Sensing (49 papers), Oceanographic and Atmospheric Processes (36 papers), Coastal and Marine Dynamics (18 papers), Tropical and Extratropical Cyclones Research (9 papers), Arctic and Antarctic ice dynamics (7 papers), Precipitation Measurement and Analysis (6 papers), Meteorological Phenomena and Simulations (6 papers) and Soil Moisture and Remote Sensing (5 papers). The work is most often cited by research in Oceanography (506 citations), Earth-Surface Processes (193 citations), Atmospheric Science (290 citations), Environmental Engineering (98 citations) and Aerospace Engineering (104 citations). Lin Ren has collaborated with scholars based in China, United States and France. Frequent co-authors include Jingsong Yang, Gang Zheng, He Wang, Huaguo Zhang, Jianhua Zhu, Xiulin Lou, Peng Chen, Xiaofeng Li, Alexis Mouche and Juan Wang. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing of Environment and International Journal of Remote Sensing.

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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