Xiaokuo Yang

863 citations
61 papers · 719 · h-index 14

Impact in

Papers in

Xiaokuo Yang

60 papers receiving 675 citations

Peers

Xiaokuo Yang
Comparison fields: 5 of 52
  • Computational Theory and Mathematics 195
  • Bioengineering 69
  • Atomic and Molecular Physics, and Optics 290
  • Electrical and Electronic Engineering 489
  • Electronic, Optical and Magnetic Materials 116
Replace Jean Anne C. Incorvia with:
Jean Anne C. Incorvia United States
Chih-Yuan Lu Taiwan
Sangmoo Choi South Korea
Christopher H. Bennett United States
Tathagata Srimani United States
Jens Trommer Germany
Jin-Ho Ahn South Korea
Chrong Jung Lin Taiwan
Yusung Kim South Korea
Xiaokuo Yang relative to Jean Anne C. Incorvia United States Jean Anne C. Incorvia's profile →
Citations per field
00.5×9.9×
Jean Anne C. Incorvia · 1×
Citations per year

Countries citing papers authored by Xiaokuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019140
2 201887
3 201063
4 201040
5 201228
6 201721
7 201519
8 201917
9 201816
10 201816
11 201814
12 202114
13 202014
14 201013
15 201813
16 201212
17 201411
18 201911
19 201411
20 201410

About Xiaokuo Yang

Xiaokuo Yang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Computational Theory and Mathematics and Biomedical Engineering, having authored 61 papers that have together received 719 indexed citations. Recurring topics across this work include Magnetic properties of thin films (28 papers), Advanced Memory and Neural Computing (24 papers), Quantum-Dot Cellular Automata (17 papers), Quantum and electron transport phenomena (16 papers), Multiferroics and related materials (13 papers), Magnetic Properties and Applications (9 papers), Magnetic and transport properties of perovskites and related materials (9 papers) and Semiconductor materials and devices (7 papers). The work is most often cited by research in Computational Theory and Mathematics (195 citations), Bioengineering (69 citations), Atomic and Molecular Physics, and Optics (290 citations), Electrical and Electronic Engineering (489 citations) and Electronic, Optical and Magnetic Materials (116 citations). Xiaokuo Yang has collaborated with scholars based in China and United States. Frequent co-authors include Li Cai, Yilin Sun, Dan Xie, Lan Xiang, Mengxing Sun, Weiwei Li, Tian‐Ling Ren, Chuang Li, Sen Wang and Wenzhi Qi. Their work appears in journals such as IEEE Magnetics Letters, Journal of Magnetism and Magnetic Materials, AIP Advances, IEEE Transactions on Nanotechnology and Applied Physics Letters.

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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