Daxiu Wei

576 citations
30 papers · 448 indexed · h-index 11

Daxiu Wei

27 papers receiving 437 citations

Peers

Daxiu Wei
Comparison fields: 5 of 67
  • Spectroscopy 96
  • Automotive Engineering 68
  • Atomic and Molecular Physics, and Optics 108
  • Artificial Intelligence 102
  • Renewable Energy, Sustainability and the Environment 51
Replace Harpreet Singh with:
Harpreet Singh India
Taichi Inagaki Japan
Jiabo Li China
Changsu Cao China
Tamara Husch Switzerland
Samuel M. Blau United States
Jun-Ru Li China
Xiang Zhu China
Chien‐Pin Chou Taiwan
Dylan M. Anstine United States
Daxiu Wei relative to Harpreet Singh India Harpreet Singh's profile →
Citations per field
00.5×4.9×
Harpreet Singh · 1×
Citations per year

Countries citing papers authored by Daxiu Wei

Since Specialization
Citations

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

Fields of papers citing papers by Daxiu Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20231
3 20225
4 202210
5 20211
6 202119
7 20205
8 20192
9 201827
10 201822
11 201665
12 20154
13 2014121
14 20148
15 200511
16 20043
17 20031
18 20035
19 20027
20 20014

About Daxiu Wei

Daxiu Wei is a scholar working on Spectroscopy, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 448 indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (13 papers), Quantum Information and Cryptography (11 papers), Quantum Computing Algorithms and Architecture (10 papers), Advanced MRI Techniques and Applications (6 papers), Quantum Mechanics and Applications (4 papers), Atomic and Subatomic Physics Research (3 papers), Quantum and electron transport phenomena (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Spectroscopy (96 citations), Automotive Engineering (68 citations), Atomic and Molecular Physics, and Optics (108 citations), Artificial Intelligence (102 citations) and Renewable Energy, Sustainability and the Environment (51 citations). Daxiu Wei has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Ye‐Feng Yao, Lingyun Yang, Qun Chen, Min Xu, Xiaodong Yang, J. L. Luo, Maili Liu, Jin‐Ming Liu, Hua Gui Yang and Fang Wen. Their work appears in journals such as Journal of Magnetic Resonance, Journal of Magnetic Resonance Imaging, Physics Letters A, Physical Review A and Scientific Reports.

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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