J. Lin

542 citations
3 papers · 11 · h-index 2

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Black Holes and Theoretical Physics
    • Neutrino Physics Research

Papers in

    • High-Energy Particle Collisions Research 3
    • Particle physics theoretical and experimental studies 3
    • Quantum Chromodynamics and Particle Interactions 2
    • Particle Detector Development and Performance 1
Journals
Journal of High Energy Physics (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (1 paper)Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022) (1 paper)
Partner nations
United StatesGermany

In The Last Decade

J. Lin

3 papers receiving 11 citations

Peers

J. Lin
Comparison fields: 5 of 5
  • Nuclear and High Energy Physics 11
  • Statistics and Probability 1
  • Radiology, Nuclear Medicine and Imaging 2
  • Condensed Matter Physics 1
  • Artificial Intelligence 1
Replace G. Y. Tang with:
G. Y. Tang China
A. Oyanguren Spain
C. Marín Benito France
N. Nikitin Russia
S. Oerdek Germany
Rebin Karaparambil Italy
D. Navas-Nicolás Italy
Z. Y. You China
M. H. P. Sas Netherlands
J. Lin relative to G. Y. Tang China G. Y. Tang's profile →
Citations per field
00.5×1.5×
G. Y. Tang · 1×
Citations per year

Countries citing papers authored by J. Lin

Since Specialization
Citations

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

Fields of papers citing papers by J. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside J. 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 J. Lin Line = papers co-authored together J. Lin links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown
#Work
1 20225
2 20225
3 20241

About J. Lin

J. Lin is a scholar working on Nuclear and High Energy Physics, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 3 papers that have together received 11 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (3 papers), Particle physics theoretical and experimental studies (3 papers), Quantum Chromodynamics and Particle Interactions (2 papers) and Particle Detector Development and Performance (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (11 citations), Statistics and Probability (1 citation), Radiology, Nuclear Medicine and Imaging (2 citations), Condensed Matter Physics (1 citation) and Artificial Intelligence (1 citation). J. Lin has collaborated with scholars based in United States and Germany. Frequent co-authors include Stefan Meinel and William Detmold. Their work appears in journals such as Journal of High Energy Physics, OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) and Proceedings of The 39th International Symposium on Lattice Field Theory — PoS(LATTICE2022).

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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