Gang Cao
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- Quantum and electron transport phenomena 77
- Semiconductor Quantum Structures and Devices 33
- Mechanical and Optical Resonators 7
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 30
- Quantum Computing Algorithms and Architecture 10
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- Advancements in Semiconductor Devices and Circuit Design 30
- Semiconductor materials and devices 12
- Materials Chemistry top 10%
- Graphene research and applications 18
- Condensed Matter Physics top 10%
- Co-authors
- Guo‐Ping GuoHai-Ou LiGuang‐Can GuoMing XiaoHong-Wen JiangTao TuXiang‐Xiang SongGuangwei Deng
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (6 papers)Nature Communications (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Gang Cao
89 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 41
- Atomic and Molecular Physics, and Optics 1.2k
- Artificial Intelligence 433
- Electrical and Electronic Engineering 569
- Materials Chemistry 425
- Condensed Matter Physics 85
Countries citing papers authored by Gang Cao
This map shows the geographic impact of Gang Cao'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 Gang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gang Cao more than expected).
Fields of papers citing papers by Gang Cao
This network shows the impact of papers produced by Gang Cao. 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 Gang Cao. The network helps show where Gang Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gang Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 16 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 29 | |
| 14 | 2020 | 41 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 37 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 46 | |
| 20 | 単結晶Ir 3 Te 8 における超伝導と異常な電気抵抗率の観測 | 2013 | 35 |
About Gang Cao
Gang Cao is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (77 papers), Semiconductor Quantum Structures and Devices (33 papers), Advancements in Semiconductor Devices and Circuit Design (30 papers), Quantum Information and Cryptography (30 papers), Graphene research and applications (18 papers), Semiconductor materials and devices (12 papers), Quantum Computing Algorithms and Architecture (10 papers) and Mechanical and Optical Resonators (7 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.2k citations), Artificial Intelligence (433 citations) and Electrical and Electronic Engineering (569 citations). Gang Cao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guo‐Ping Guo, Hai-Ou Li, Guang‐Can Guo, Ming Xiao, Hong-Wen Jiang, Tao Tu, Xiang‐Xiang Song, Guangwei Deng, Cheng Zhou and Ke Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.