Yu-Hao Deng

606 total citations
2 papers, 29 citations indexed

About

Yu-Hao Deng is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Yu-Hao Deng has authored 2 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Atomic and Molecular Physics, and Optics, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Yu-Hao Deng's work include Quantum Information and Cryptography (2 papers), Neural Networks and Reservoir Computing (1 paper) and Semiconductor Quantum Structures and Devices (1 paper). Yu-Hao Deng is often cited by papers focused on Quantum Information and Cryptography (2 papers), Neural Networks and Reservoir Computing (1 paper) and Semiconductor Quantum Structures and Devices (1 paper). Yu-Hao Deng collaborates with scholars based in China, Germany and United Kingdom. Yu-Hao Deng's co-authors include Jian Qin, Chao‐Yang Lu, Han-Sen Zhong, Si-Qiu Gong, Jian-Wei Pan, Yi-Han Luo, Dian Wu, Li Li, Nai-Le Liu and Hui Wang and has published in prestigious journals such as Physical Review Letters and Nano Letters.

In The Last Decade

Yu-Hao Deng

2 papers receiving 29 citations

Peers

Yu-Hao Deng
I-M. Dinu United States
Frank Arute United States
Marco Szalay United States
Shirin Montazeri United States
M. Ast Germany
K. Wang China
Catherine Erickson United States
Priyanka Sharma India
John Hannegan United States
James B. Simon United States
I-M. Dinu United States
Yu-Hao Deng
Citations per year, relative to Yu-Hao Deng Yu-Hao Deng (= 1×) peers I-M. Dinu

Countries citing papers authored by Yu-Hao Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Hao Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Hao Deng. 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 Yu-Hao Deng. The network helps show where Yu-Hao Deng may publish in the future.

Co-authorship network of co-authors of Yu-Hao Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Hao Deng. A scholar is included among the top collaborators of Yu-Hao Deng 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 Yu-Hao Deng. Yu-Hao Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Qin, Jian, Yu-Hao Deng, Han-Sen Zhong, et al.. (2023). Unconditional and Robust Quantum Metrological Advantage beyond N00N States. Physical Review Letters. 130(7). 70801–70801. 25 indexed citations
2.
Duan, Zhenglu, Yu-Hao Deng, Ying Yu, et al.. (2019). Quantum Beat between Sunlight and Single Photons. Nano Letters. 20(1). 152–157. 4 indexed citations

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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2026