Hai‐Rui Wei

1.5k citations
62 papers · 1.1k indexed · h-index 18
Topics
Quantum Information and Cryptography (55 papers)Quantum Computing Algorithms and Architecture (32 papers)Quantum and electron transport phenomena (14 papers)

In The Last Decade

Hai‐Rui Wei

56 papers receiving 1.1k citations

Peers

Hai‐Rui Wei
Comparison fields: 5 of 38
  • Artificial Intelligence 1.0k
  • Atomic and Molecular Physics, and Optics 811
  • Electrical and Electronic Engineering 187
  • Materials Chemistry 61
  • Computational Theory and Mathematics 55
Replace Luke C. G. Govia with:
Luke C. G. Govia United States
Sebastian Weidt United Kingdom
Sreraman Muralidharan United States
Naomi Nickerson United Kingdom
Peng-Hao Niu China
T. Loke Australia
Hyang‐Tag Lim South Korea
Linshu Li United States
N. Lo Gullo Italy
Patricio Arrangoiz-Arriola United States
Hai‐Rui Wei relative to Luke C. G. Govia United States Luke C. G. Govia's profile →
Citations per field
00.5×5.9×
Luke C. G. Govia · 1×
Citations per year

Countries citing papers authored by Hai‐Rui Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hai‐Rui Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai‐Rui Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Hai‐Rui Wei. A scholar is included among the top collaborators of Hai‐Rui Wei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hai‐Rui Wei. Hai‐Rui Wei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 4
4 1
5 0
6 1
7 26
8 18
9 17
10 4
11 21
12 10
13 12
14 34
15 3
16
Scalable quantum computing based on stationary spin qubits in coupled quantum dots
1
17 73
18 109
19 77
20 8

About Hai‐Rui Wei

Hai‐Rui Wei is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Business and International Management, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (55 papers), Quantum Computing Algorithms and Architecture (32 papers) and Quantum and electron transport phenomena (14 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Atomic and Molecular Physics, and Optics (811 citations) and Computational Theory and Mathematics (55 citations). Hai‐Rui Wei has collaborated with scholars based in China, Saudi Arabia and Singapore. Frequent co-authors include Fu‐Guo Deng, Bao‐Cang Ren, Gui‐Lu Long, Tao Li, L. C. Kwek, Ming Hua, Fang‐Fang Du, Jizhen Liu, Ming‐Jie Tao and Jin‐Liang Guo. Their work appears in journals such as Scientific Reports, Physical Review A and Optics Express.

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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