Y. Cui

727 citations
21 papers · 377 · h-index 9

Impact in

Papers in

Y. Cui

19 papers receiving 363 citations

Peers

Y. Cui
Comparison fields: 5 of 44
  • Condensed Matter Physics 298
  • Electronic, Optical and Magnetic Materials 167
  • Biomaterials 49
  • Finance 27
  • Statistics and Probability 21
Replace M. A. Bab with:
M. A. Bab Argentina
Д. А. Маслов Russia
Marco Falcioni United States
Tomaž Rejec Slovenia
Hans-Peter Deutsch Germany
P.J. Cregg Ireland
Mukund Bapna United States
Chang-An Li Germany
Natalya A. Zimbovskaya Puerto Rico
Hongyu Guo China
Y. Cui relative to M. A. Bab Argentina M. A. Bab's profile →
Citations per field
00.5×7.3×
M. A. Bab · 1×
Citations per year

Countries citing papers authored by Y. Cui

Since Specialization
Citations

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

Fields of papers citing papers by Y. Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007101
2 200477
3 200939
4 200626
5 200624
6 200924
7 200822
8 200520
9 200310
10 20058
11 20056
12 20035
13 20075
14
Characteristics of X-ray Absorption Near-edge Spectra Obtained from Various MgB2 Films
20072
15 20052
16 20062
17 20072
18 20061
19 20181
20 20240

About Y. Cui

Y. Cui is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Materials Chemistry, Biomaterials and Economics and Econometrics, having authored 21 papers that have together received 377 indexed citations. Recurring topics across this work include Superconductivity in MgB2 and Alloys (16 papers), Physics of Superconductivity and Magnetism (12 papers), Iron-based superconductors research (10 papers), Magnesium Alloys: Properties and Applications (3 papers), Boron and Carbon Nanomaterials Research (2 papers), Hydrogen Storage and Materials (2 papers), Time Series Analysis and Forecasting (1 paper) and Complex Systems and Time Series Analysis (1 paper). The work is most often cited by research in Condensed Matter Physics (298 citations), Electronic, Optical and Magnetic Materials (167 citations), Biomaterials (49 citations), Finance (27 citations) and Statistics and Probability (21 citations). Y. Cui has collaborated with scholars based in United States, China and Germany. Frequent co-authors include X. X. Xi, Robert Lund, Joan M. Redwing, Qi Li, Darrell G. Schlom, A. Soukiassian, Ke Chen, A. V. Pogrebnyakov, Zi‐Kui Liu and R. C. Dynes. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Applied Physics Letters, Physica C Superconductivity, Journal of Loss Prevention in the Process Industries and Biometrika.

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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