Xiaofei Yang

769 citations
25 papers · 575 · h-index 12

Impact in

Papers in

Xiaofei Yang

23 papers receiving 556 citations

Peers

Xiaofei Yang
Comparison fields: 5 of 67
  • Atomic and Molecular Physics, and Optics 351
  • Condensed Matter Physics 126
  • Electronic, Optical and Magnetic Materials 141
  • Management Science and Operations Research 42
  • Artificial Intelligence 107
Replace P.C.K. Kwok with:
P.C.K. Kwok Hong Kong
Kôtarô Tanahashi Japan
I. N. Askerzade Türkiye
Yasaman Bahri United States
Thomas Bläsius Germany
Yuetsu Kodama Japan
Taro Kanao Japan
S. Noguchi Japan
Xiaofei Yang relative to P.C.K. Kwok Hong Kong P.C.K. Kwok's profile →
Citations per field
00.5×10×15×20×23.3×
P.C.K. Kwok · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018237
2 201547
3 201846
4 201945
5 202128
6 201926
7 202122
8 201722
9 201920
10 201514
11 202214
12 202012
13 202410
14 20129
15 20128
16 20184
17 20243
18 20212
19
Resistance to Organizational Change and the Value of Communication: the case of Volvo Cars Human Resources Department
20152
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, Management Science and Operations Research and Condensed Matter Physics, having authored 25 papers that have together received 575 indexed citations. Recurring topics across this work include Magnetic properties of thin films (6 papers), Text and Document Classification Technologies (5 papers), Face and Expression Recognition (4 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Clustering Algorithms Research (4 papers), Fuzzy and Soft Set Theory (4 papers), Advanced Memory and Neural Computing (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (351 citations), Condensed Matter Physics (126 citations), Electronic, Optical and Magnetic Materials (141 citations), Management Science and Operations Research (42 citations) and Artificial Intelligence (107 citations). Xiaofei Yang has collaborated with scholars based in China, United States and France. Frequent co-authors include Long You, Yue Zhang, Shijiang Luo, Min Song, Jeongmin Hong, Nuo Xu, Xuecheng Zou, Jinjun Ding, William Zhu and Tao Zhu. Their work appears in journals such as Applied Physics Letters, Fuzzy Sets and Systems, Applied Intelligence, Neurocomputing and Information Sciences.

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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