Xiaoye Chen

36 papers receiving 881 citations

Peers

Xiaoye Chen
Comparison fields: 5 of 108
  • Behavioral Neuroscience 214
  • Endocrine and Autonomic Systems 79
  • Biological Psychiatry 25
  • Electronic, Optical and Magnetic Materials 143
  • Social Psychology 157
Replace Nobuaki Tanabe with:
Nobuaki Tanabe Japan
Alexander Goldberg United States
Kenji Watanabe Japan
Yudong Yao United States
Libo Zhang China
Hee-Dae Kim South Korea
Ping Gao China
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Changwoo Seo South Korea
Xiaoye Chen relative to Nobuaki Tanabe Japan Nobuaki Tanabe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xiaoye Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoye Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995290
2 2011143
3 201663
4 202457
5 201547
6 200229
7 201627
8 199524
9 201524
10 201423
11 202121
12 202215
13 202212
14 201812
15 201312
16 202210
17 201010
18 20169
19 20029
20 20159

About Xiaoye Chen

Xiaoye Chen is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 39 papers that have together received 918 indexed citations. Recurring topics across this work include Magnetic properties of thin films (8 papers), Natural Language Processing Techniques (7 papers), Speech Recognition and Synthesis (7 papers), Topic Modeling (5 papers), Physics of Superconductivity and Magnetism (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Memory and Neural Computing (3 papers) and Anodic Oxide Films and Nanostructures (2 papers). The work is most often cited by research in Behavioral Neuroscience (214 citations), Endocrine and Autonomic Systems (79 citations), Biological Psychiatry (25 citations), Electronic, Optical and Magnetic Materials (143 citations) and Social Psychology (157 citations). Xiaoye Chen has collaborated with scholars based in United Kingdom, Singapore and China. Frequent co-authors include J. Herbert, Mark Gales, Xiaobing Liu, Philip C. Woodland, Ping Yang, Xiaomei Wang, Zhigang Mou, Yukou Du, Yanmin Qian and Guo-Jun Qi. Their work appears in journals such as Physical Review Applied, Physical review. B., Neuroscience, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms and Protein & Cell.

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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