Xiaofei Yang

764 citations
22 papers · 576 · h-index 13

Impact in

Papers in

Xiaofei Yang

20 papers receiving 559 citations

Peers

Xiaofei Yang
Comparison fields: 5 of 66
  • Atomic and Molecular Physics, and Optics 356
  • Condensed Matter Physics 126
  • Electronic, Optical and Magnetic Materials 144
  • Artificial Intelligence 110
  • Computer Vision and Pattern Recognition 62
Replace Cheng Zheng with:
Cheng Zheng China
Harkirat Singh India
Yinghong Li China
I. N. Askerzade Türkiye
Kôtarô Tanahashi Japan
Yasaman Bahri United States
Michael Günther Germany
Yuetsu Kodama Japan
Xiaofei Yang relative to Cheng Zheng China Cheng Zheng's profile →
Citations per field
00.5×1.5×2.3×
Cheng Zheng · 1×
Citations per year

Countries citing papers authored by Xiaofei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018243
2 201548
3 201948
4 201846
5 202129
6 201927
7 201722
8 202122
9 201920
10 202215
11 201514
12 202413
13 202012
14 20245
15 20184
16 20242
17 20212
18
Resistance to Organizational Change and the Value of Communication: the case of Volvo Cars Human Resources Department
20152
19 20241
20 20241

About Xiaofei Yang

Xiaofei Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Management Science and Operations Research, having authored 22 papers that have together received 576 indexed citations. Recurring topics across this work include Magnetic properties of thin films (6 papers), Text and Document Classification Technologies (5 papers), Advanced Clustering Algorithms Research (4 papers), Face and Expression Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Multi-Criteria Decision Making (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (356 citations), Condensed Matter Physics (126 citations), Electronic, Optical and Magnetic Materials (144 citations), Artificial Intelligence (110 citations) and Computer Vision and Pattern Recognition (62 citations). Xiaofei Yang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Yue Zhang, Long You, Shijiang Luo, Jeongmin Hong, Xuecheng Zou, Nuo Xu, Min Song, Jinjun Ding, William Zhu and Tao Zhu. Their work appears in journals such as Applied Physics Letters, Applied Intelligence, Neurocomputing, Knowledge-Based Systems and Advanced Materials.

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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