Haokun Mao

615 citations
32 papers · 327 indexed · 1 hit paper · h-index 9
Topics
Quantum Computing Algorithms and Architecture (22 papers)Quantum Information and Cryptography (22 papers)Quantum-Dot Cellular Automata (8 papers)
Partner nations
ChinaSaudi ArabiaEgypt

In The Last Decade

Haokun Mao

30 papers receiving 310 citations

Hit Papers

High-rate quantum key distribution exceeding 110 Mb s–12023202620242025202350100150

Peers

Haokun Mao
Comparison fields: 5 of 34
  • Artificial Intelligence 255
  • Atomic and Molecular Physics, and Optics 140
  • Electrical and Electronic Engineering 77
  • Computational Theory and Mathematics 46
  • Computer Vision and Pattern Recognition 36
Replace Philip Sibson with:
Philip Sibson United Kingdom
Jake Kennard United Kingdom
Andrea Stanco Italy
Marco Avesani Italy
Wenyuan Wang Canada
Shihan Sajeed Canada
Toyohiro Tsurumaru Japan
Nuno A. Silva Portugal
Anastase Nakassis United States
Zhengwen Cao China
Haokun Mao relative to Philip Sibson United Kingdom Philip Sibson's profile →
Citations per field
00.5×1.5×2.3×
Philip Sibson · 1×
Citations per year

Countries citing papers authored by Haokun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Haokun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haokun Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Haokun Mao. A scholar is included among the top collaborators of Haokun Mao 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 Haokun Mao. Haokun Mao 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
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152
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About Haokun Mao

Haokun Mao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Graphics and Computer-Aided Design, having authored 32 papers that have together received 327 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (22 papers), Quantum Information and Cryptography (22 papers) and Quantum-Dot Cellular Automata (8 papers). The work is most often cited by research in Artificial Intelligence (255 citations), Atomic and Molecular Physics, and Optics (140 citations) and Instrumentation (10 citations). Haokun Mao has collaborated with scholars based in China, Saudi Arabia and Egypt. Frequent co-authors include Qiong Li, Han Qi, Sheng‐Kai Liao, Wei Li, Yichen Lu, Feihu Xu, Hao Tan, Lixing You, Zhen Wang and Jia Huang. Their work appears in journals such as Nature Photonics, Optics Express and Expert Systems with Applications.

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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