Yipu Song

2.6k citations
53 papers · 2.1k · h-index 21

Impact in

Papers in

Yipu Song

51 papers receiving 2k citations

Peers

Yipu Song
Comparison fields: 5 of 48
  • Artificial Intelligence 907
  • Atomic and Molecular Physics, and Optics 484
  • Materials Chemistry 631
  • Biomedical Engineering 193
  • Nuclear Energy and Engineering 1
Replace Hai-Ou Li with:
Hai-Ou Li China
Mustafa Bal United States
Aji A. Anappara India
Daniela F. Bogorin United States
Yanwen Wu United States
Yue Fan China
Feng Chi China
Aixi Chen China
Mohannad Mahmoud Ali Al-Hmoud Saudi Arabia
Yipu Song relative to Hai-Ou Li China Hai-Ou Li's profile →
Citations per field
00.5×2×3×4.2×
Hai-Ou Li · 1×
Citations per year

Countries citing papers authored by Yipu Song

Since Specialization
Citations

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

Fields of papers citing papers by Yipu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003594
2 2018131
3 2018127
4 2007125
5 2020103
6 201999
7 202089
8 202055
9
Quantum generative adversarial learning in a superconducting quantum circuit
201949
10 200544
11 201743
12 202143
13 202238
14 202335
15 202031
16 200730
17 201726
18 202126
19 202125
20 202124

About Yipu Song

Yipu Song is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Materials Chemistry, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (30 papers), Nanowire Synthesis and Applications (7 papers), Quantum Computing Algorithms and Architecture (7 papers), Quantum and electron transport phenomena (6 papers), ZnO doping and properties (3 papers), Mechanical and Optical Resonators (2 papers), Semiconductor materials and interfaces (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Artificial Intelligence (907 citations), Atomic and Molecular Physics, and Optics (484 citations), Materials Chemistry (631 citations), Biomedical Engineering (193 citations) and Nuclear Energy and Engineering (1 citation). Yipu Song has collaborated with scholars based in China, United States and India. Frequent co-authors include Weizhou Cai, Luyan Sun, Yuan Xu, Dapeng Yu, Song Jin, Zhang Shenzhe, Yingjie Xing, Jinhui Song, Jie Xu and Rongming Wang. Their work appears in journals such as Physical Review Letters, Physical Review Applied, Nature Communications, Applied Physics Letters and Science Advances.

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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