Yuhong Cao
- Biotechnology top 5%
- Biomedical Engineering top 5%
- Microfluidic and Bio-sensing Technologies 4
- Pharmaceutical Science top 5%
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- RNA Interference and Gene Delivery 10
- CRISPR and Genetic Engineering 4
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- Energy, Environment, Economic Growth 6
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- Advanced Memory and Neural Computing 5
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- Environmental Sustainability in Business 5
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- Reinforcement Learning in Robotics 4
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- Robotic Path Planning Algorithms 4
- Co-authors
- Nicholas A. MeloshAlexander M. XuXi XieSergio Leal‐OrtizPeidong YangStefano Cestellos-BlancoCraig C. GarnerYude Su
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Advanced Materials (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yuhong Cao
66 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Biotechnology 174
- Biomedical Engineering 668
- Cellular and Molecular Neuroscience 265
- Pharmaceutical Science 59
- Molecular Biology 579
Countries citing papers authored by Yuhong Cao
This map shows the geographic impact of Yuhong 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 Yuhong Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuhong Cao more than expected).
Fields of papers citing papers by Yuhong Cao
This network shows the impact of papers produced by Yuhong 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 Yuhong Cao. The network helps show where Yuhong Cao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuhong 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 4 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 47 | |
| 13 | 2021 | 6 | |
| 14 | 2021 | 13 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 23 | |
| 18 | 2018 | 1 | |
| 19 | Evaluation of Automobile Manufacturing Enterprise Competitiveness from Social Responsibility Perspective | 2016 | 2 |
| 20 | Designing a Mixed Evaluating System for Green Manufacturing of Automotive Industry | 2016 | 1 |
About Yuhong Cao
Yuhong Cao is a scholar working on Marketing, Strategy and Management and Biophysics, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Energy, Environment, Economic Growth (6 papers), Advanced Memory and Neural Computing (5 papers), Environmental Sustainability in Business (5 papers), Reinforcement Learning in Robotics (4 papers), CRISPR and Genetic Engineering (4 papers), Robotic Path Planning Algorithms (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Biotechnology (174 citations), Biomedical Engineering (668 citations) and Cellular and Molecular Neuroscience (265 citations). Yuhong Cao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Nicholas A. Melosh, Alexander M. Xu, Xi Xie, Sergio Leal‐Ortiz, Peidong Yang, Stefano Cestellos-Blanco, Craig C. Garner, Yude Su, Yong Zhao and Haixia Ma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials 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.