Jun Lin

3.4k citations
261 papers · 2.4k · h-index 25

Impact in

  • Geophysics top 2%
    • Geophysical and Geoelectrical Methods
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis
    • Geophysical Methods and Applications

Papers in

    • Geophysical and Geoelectrical Methods 59
    • Seismic Imaging and Inversion Techniques 54
    • Seismic Waves and Analysis 53
    • Geophysical Methods and Applications 54

Jun Lin

235 papers receiving 2.3k citations

Peers

Jun Lin
Comparison fields: 5 of 127
  • Geophysics 997
  • Ocean Engineering 711
  • Nuclear and High Energy Physics 264
  • Oceanography 140
  • Artificial Intelligence 347
Replace Hui Zhou with:
Hui Zhou China
Yang Liu China
Jianxin Liu China
Huijian Li China
Huan Liu China
Mary F. Wheeler United States
Weichang Li United States
Marko Vauhkonen Finland
Klaus Gärtner Germany
Yalchin Efendiev United States
Jun Lin relative to Hui Zhou China Hui Zhou's profile →
Citations per field
00.5×6.1×
Hui Zhou · 1×
Citations per year

Countries citing papers authored by Jun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 261 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 202273
3 201665
4 201163
5 201755
6 202252
7 201645
8 202341
9 201941
10 201439
11 200935
12 201434
13 202432
14 201932
15 201331
16 201730
17 202129
18 201228
19 200028
20 201627

About Jun Lin

Jun Lin is a scholar working on Geophysics, Ocean Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Nuclear and High Energy Physics, having authored 261 papers that have together received 2.4k indexed citations. Recurring topics across this work include Geophysical and Geoelectrical Methods (59 papers), Geophysical Methods and Applications (54 papers), Seismic Imaging and Inversion Techniques (54 papers), Seismic Waves and Analysis (53 papers), NMR spectroscopy and applications (31 papers), Magnetic Field Sensors Techniques (24 papers), Seismology and Earthquake Studies (19 papers) and Underwater Acoustics Research (18 papers). The work is most often cited by research in Geophysics (997 citations), Ocean Engineering (711 citations), Nuclear and High Energy Physics (264 citations), Oceanography (140 citations) and Artificial Intelligence (347 citations). Jun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuandong Jiang, Xintong Dong, Shaoping Lu, Yanju Ji, Yue Li, Yanzhang Wang, Suyi Li, Zubin Chen, Yi Xin and Tingting Lin. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Review of Scientific Instruments and Geophysics.

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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