He-Liang Huang

5.5k citations
48 papers · 2.1k indexed · 3 hit papers · h-index 17

He-Liang Huang

44 papers receiving 2.0k citations

Hit Papers

Superconducting quantum computing: a review2162016202620192022100200300

Peers

He-Liang Huang
Comparison fields: 5 of 100
  • Artificial Intelligence 1.7k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Acoustics and Ultrasonics 27
  • Computational Mathematics 9
  • Computational Theory and Mathematics 141
Replace Ping Xu with:
Ping Xu China
Ish Dhand Germany
Travis S. Humble United States
Juan Miguel Arrazola Canada
Mikel Sanz Spain
Peter Shadbolt United Kingdom
Yi-Kai Liu United States
Josh Izaac Australia
Łukasz Cincio United States
Nicolás Quesada Canada
He-Liang Huang relative to Ping Xu China Ping Xu's profile →
Citations per field
00.5×1.5×2.2×
Ping Xu · 1×
Citations per year

Countries citing papers authored by He-Liang Huang

Since Specialization
Citations

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

Fields of papers citing papers by He-Liang Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20242
5 20240
6 202316
7 20236
8 20233
9 20233
10 202123
11 202038
12 201955
13 201913
14 20180
15
18-Qubit Entanglement with Six Photons’ Three Degrees of Freedombreakdown →
2018276
16 20183
17 20174
18 201750
19 201766
20
Experimental Ten-Photon Entanglementbreakdown →
2016384

About He-Liang Huang

He-Liang Huang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 48 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (40 papers), Quantum Information and Cryptography (37 papers), Quantum Mechanics and Applications (13 papers), Neural Networks and Reservoir Computing (11 papers), Quantum-Dot Cellular Automata (6 papers), Quantum and electron transport phenomena (4 papers), Quantum many-body systems (3 papers) and Topological Materials and Phenomena (2 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Atomic and Molecular Physics, and Optics (1.3k citations) and Acoustics and Ultrasonics (27 citations). He-Liang Huang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jian-Wei Pan, Chao‐Yang Lu, Zu-En Su, Xi‐Lin Wang, Xiaobo Zhu, Daojin Fan, Dachao Wu, Yi-Han Luo, Chu Guo and Xiao Jiang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and SHILAP Revista de lepidopterología.

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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