X. Shi

71.2k citations
71 papers · 492 · h-index 12

Impact in

    • Neutrino Physics Research
    • Particle physics theoretical and experimental studies
    • Astrophysics and Cosmic Phenomena
    • Dark Matter and Cosmic Phenomena
    • Particle Detector Development and Performance

Papers in

X. Shi

59 papers receiving 478 citations

Peers

X. Shi
Comparison fields: 5 of 104
  • Nuclear and High Energy Physics 284
  • Software 15
  • Astronomy and Astrophysics 46
  • Structural Biology 4
  • Radiation 22
Replace M. Citterio with:
M. Citterio Italy
R. Nouailletas France
Hoang Le Canada
M. Ghanaatian Iran
E. Focardi Italy
Jeffrey D. Black United States
A. Puig Sitjes Germany
D. Meziat Spain
M. Friendlich United States
Ali Zadeh Netherlands
X. Shi relative to M. Citterio Italy M. Citterio's profile →
Citations per field
00.5×10×20×33×
M. Citterio · 1×
Citations per year

Countries citing papers authored by X. Shi

Since Specialization
Citations

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

Fields of papers citing papers by X. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199387
2 199245
3 199243
4 199431
5 199423
6 202221
7 202220
8 202220
9 202317
10 200816
11 199514
12 199713
13 20208
14 20228
15 20227
16 20227
17 20227
18 20207
19 20227
20 20197

About X. Shi

X. Shi is a scholar working on Nuclear and High Energy Physics, Electrical and Electronic Engineering, Radiation, Biomedical Engineering and Ocean Engineering, having authored 71 papers that have together received 492 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (15 papers), Radiation Detection and Scintillator Technologies (9 papers), Neutrino Physics Research (8 papers), Particle physics theoretical and experimental studies (7 papers), Silicon Carbide Semiconductor Technologies (7 papers), CCD and CMOS Imaging Sensors (6 papers), Enhanced Oil Recovery Techniques (5 papers) and Dark Matter and Cosmic Phenomena (5 papers). The work is most often cited by research in Nuclear and High Energy Physics (284 citations), Software (15 citations), Astronomy and Astrophysics (46 citations), Structural Biology (4 citations) and Radiation (22 citations). X. Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David N. Schramm, Brian D. Fields, G. Sigl, John N. Bahcall, David S. P. Dearborn, Lan Wang, Lele Sun, Hongzhang Chen, Tao Yang and Liang Li. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Applied Superconductivity, Physics Letters B, The American Journal of Gastroenterology and Journal of Instrumentation.

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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