J. Yan

1.0k citations
37 papers · 575 · h-index 14

Impact in

    • Particle physics theoretical and experimental studies
    • High-Energy Particle Collisions Research
    • Quantum Chromodynamics and Particle Interactions
    • Particle Detector Development and Performance
    • Dark Matter and Cosmic Phenomena
    • Neutrino Physics Research
    • Cosmology and Gravitation Theories

Papers in

    • Particle physics theoretical and experimental studies 36
    • High-Energy Particle Collisions Research 30
    • Particle Detector Development and Performance 20
    • Quantum Chromodynamics and Particle Interactions 11
    • Dark Matter and Cosmic Phenomena 7
    • Neutrino Physics Research 3
    • Probabilistic and Robust Engineering Design 1

J. Yan

34 papers receiving 474 citations

Peers

J. Yan
Comparison fields: 5 of 30
  • Nuclear and High Energy Physics 525
  • Astronomy and Astrophysics 64
  • Artificial Intelligence 62
  • Computer Networks and Communications 31
  • Atomic and Molecular Physics, and Optics 20
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Citations per field
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Citations per year

Countries citing papers authored by J. Yan

Since Specialization
Citations

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

Fields of papers citing papers by J. Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside J. Yan, 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. Yan Line = papers co-authored together J. Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202380
2 202378
3 202158
4 202339
5 202330
6 202526
7 202325
8 202322
9 202422
10 202320
11 202320
12 202318
13 202317
14 202316
15 202313
16 202312
17 202410
18 20238
19 20237
20 20247

About J. Yan

J. Yan is a scholar working on Nuclear and High Energy Physics, Statistics, Probability and Uncertainty, Civil and Structural Engineering, Computer Networks and Communications and Insect Science, having authored 37 papers that have together received 575 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (36 papers), High-Energy Particle Collisions Research (30 papers), Particle Detector Development and Performance (20 papers), Quantum Chromodynamics and Particle Interactions (11 papers), Dark Matter and Cosmic Phenomena (7 papers), Neutrino Physics Research (3 papers), Probabilistic and Robust Engineering Design (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (525 citations), Astronomy and Astrophysics (64 citations), Artificial Intelligence (62 citations), Computer Networks and Communications (31 citations) and Atomic and Molecular Physics, and Optics (20 citations). J. Yan has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Yiqing Shi, Jingjing Wang and Hui Ma. Their work appears in journals such as The European Physical Journal C, Physical Review Letters, Journal of High Energy Physics, Physics Letters B and Physical review. D.

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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