Mao‐Lin Shen

421 citations
18 papers · 266 · h-index 10

Impact in

  • Oceanography top 10%
    • Oceanographic and Atmospheric Processes
    • Marine and coastal ecosystems
    • Ocean Waves and Remote Sensing
    • Climate variability and models
    • Marine and fisheries research

Papers in

Mao‐Lin Shen

17 papers receiving 255 citations

Peers

Mao‐Lin Shen
Comparison fields: 5 of 44
  • Oceanography 143
  • Global and Planetary Change 175
  • Atmospheric Science 136
  • Physiology 20
  • Nature and Landscape Conservation 34
Replace Robert A. Weller with:
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Stjepan Ivatek‐Šahdan Croatia
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Carlo Mantovani Italy
Francesca Elisa Leonelli Italy
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Mao‐Lin Shen relative to Robert A. Weller United States Robert A. Weller's profile →
Citations per field
00.5×10×13.5×
Robert A. Weller · 1×
Citations per year

Countries citing papers authored by Mao‐Lin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Lin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201137
2 201228
3 201727
4 201727
5 201523
6 201222
7 201322
8 201221
9 201920
10 201213
11 20246
12 20236
13 20175
14 20233
15 20203
16 20251
17 20201
18 20231

About Mao‐Lin Shen

Mao‐Lin Shen is a scholar working on Global and Planetary Change, Oceanography, Atmospheric Science, Materials Chemistry and Nature and Landscape Conservation, having authored 18 papers that have together received 266 indexed citations. Recurring topics across this work include Climate variability and models (11 papers), Oceanographic and Atmospheric Processes (11 papers), Meteorological Phenomena and Simulations (9 papers), Marine and coastal ecosystems (3 papers), Marine and fisheries research (2 papers), Fish Ecology and Management Studies (2 papers), Metal Alloys Wear and Properties (2 papers) and Digital Rights Management and Security (1 paper). The work is most often cited by research in Oceanography (143 citations), Global and Planetary Change (175 citations), Atmospheric Science (136 citations), Physiology (20 citations) and Nature and Landscape Conservation (34 citations). Mao‐Lin Shen has collaborated with scholars based in Norway, Taiwan and United States. Frequent co-authors include Yu‐Heng Tseng, Sen Jan, Noel Keenlyside, François Counillon, Ingo Bethke, Yiguo Wang, Gregory S. Duane, Chih‐Chieh Young, David E. Dietrich and Heng Zhang. Their work appears in journals such as Fisheries Oceanography, Progress In Oceanography, Journal of Materials Research and Technology, Journal of Marine Systems and Climate 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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