Wei Huang

3.2k citations
128 papers · 2.5k · h-index 29

Impact in

Papers in

Wei Huang

115 papers receiving 2.4k citations

Peers

Wei Huang
Comparison fields: 5 of 82
  • Artificial Intelligence 1.8k
  • Atomic and Molecular Physics, and Optics 1.5k
  • Electrical and Electronic Engineering 479
  • Ceramics and Composites 47
  • Computational Theory and Mathematics 138
Replace Kosuke Tatsumura with:
Kosuke Tatsumura Japan
Zheng-Ping Li China
Duan Huang China
Sheng Wei Huang United States
Andreas Meier Germany
Takahiro Inagaki Japan
Guolin Yu China
Liuguo Yin China
Wen Zhong Shen China
Xin Liang Yin Belgium
Wei Huang relative to Kosuke Tatsumura Japan Kosuke Tatsumura's profile →
Citations per field
00.5×5×10.9×
Kosuke Tatsumura · 1×
Citations per year

Countries citing papers authored by Wei Huang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012138
2 1999122
3 2019115
4 2014112
5 2012108
6 1999101
7 201390
8 199980
9 202273
10 201266
11 201465
12 201262
13 201459
14 202159
15 201655
16 201452
17 201251
18 201947
19 201245
20 201344

About Wei Huang

Wei Huang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 128 papers that have together received 2.5k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (87 papers), Quantum Computing Algorithms and Architecture (79 papers), Quantum Mechanics and Applications (58 papers), Quantum optics and atomic interactions (15 papers), Quantum-Dot Cellular Automata (10 papers), Silicon Carbide Semiconductor Technologies (8 papers), Chaos-based Image/Signal Encryption (8 papers) and Advanced Authentication Protocols Security (7 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Atomic and Molecular Physics, and Optics (1.5k citations), Electrical and Electronic Engineering (479 citations), Ceramics and Composites (47 citations) and Computational Theory and Mathematics (138 citations). Wei Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qiaoyan Wen, Fei Gao, Bin Liu, Bingjie Xu, Su‐Juan Qin, Michael Dudley, Heng-Yue Jia, Qi Silvia Su, Xian-Rong Huang and Di Xiao. Their work appears in journals such as Quantum Information Processing, Physical Review A, Optics Letters, Science China Physics Mechanics and Astronomy and IEEE Access.

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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