Yanbin Pan

418 citations
33 papers · 156 · h-index 8

Impact in

Papers in

Yanbin Pan

26 papers receiving 150 citations

Peers

Yanbin Pan
Comparison fields: 5 of 27
  • Condensed Matter Physics 44
  • Nuclear and High Energy Physics 46
  • Aerospace Engineering 81
  • Biomedical Engineering 109
  • Artificial Intelligence 22
Replace Lucio Fiscarelli with:
Lucio Fiscarelli Switzerland
Rohit Kumar India
Bruno Sanches Brazil
W. Cichalewski Poland
Mizuki Motoyoshi Japan
M. Citterio Italy
Keisuke Matsuda Japan
S.H. Kim France
P. Vyas Switzerland
Łukasz Butkowski Poland
Yanbin Pan relative to Lucio Fiscarelli Switzerland Lucio Fiscarelli's profile →
Citations per field
00.5×1.5×2.4×
Lucio Fiscarelli · 1×
Citations per year

Countries citing papers authored by Yanbin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yanbin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201222
2 200921
3 201317
4 200310
5 20109
6 20107
7 20107
8 20007
9 20107
10 20116
11 20165
12 20204
13 20244
14 20204
15 20064
16 20203
17 20163
18 20242
19 20212
20 20192

About Yanbin Pan

Yanbin Pan is a scholar working on Artificial Intelligence, Biomedical Engineering, Aerospace Engineering, Information Systems and Condensed Matter Physics, having authored 33 papers that have together received 156 indexed citations. Recurring topics across this work include Superconducting Materials and Applications (13 papers), Cryptography and Data Security (12 papers), Particle accelerators and beam dynamics (10 papers), Coding theory and cryptography (8 papers), Cryptographic Implementations and Security (6 papers), Cryptography and Residue Arithmetic (5 papers), Magnetic confinement fusion research (5 papers) and Physics of Superconductivity and Magnetism (4 papers). The work is most often cited by research in Condensed Matter Physics (44 citations), Nuclear and High Energy Physics (46 citations), Aerospace Engineering (81 citations), Biomedical Engineering (109 citations) and Artificial Intelligence (22 citations). Yanbin Pan has collaborated with scholars based in China, France and United States. Frequent co-authors include Yunfei Tan, Guangli Kuang, Jiawu Zhu, Yong Ren, Zengming Chen, Peng He, Songtao Wu, Wenge Chen, Peng He and Bo Rao. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, IEEE Transactions on Information Theory, Journal of Number Theory, IEEE Journal on Selected Areas in Communications and IET Information Security.

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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