Dan Huang
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- Advanced Battery Materials and Technologies 47
- Advancements in Battery Materials 46
- Chalcogenide Semiconductor Thin Films 33
- Perovskite Materials and Applications 27
- Advanced battery technologies research 20
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- Supercapacitor Materials and Fabrication 15
- Automotive Engineering top 1%
- Materials Chemistry top 2%
- Quantum Dots Synthesis And Properties 31
- Copper-based nanomaterials and applications 22
Dan Huang
169 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Electrical and Electronic Engineering 4.6k
- Electronic, Optical and Magnetic Materials 1.4k
- Automotive Engineering 669
- Materials Chemistry 2.4k
- Renewable Energy, Sustainability and the Environment 604
Countries citing papers authored by Dan Huang
This map shows the geographic impact of Dan 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 Dan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Huang more than expected).
Fields of papers citing papers by Dan Huang
This network shows the impact of papers produced by Dan 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 Dan Huang. The network helps show where Dan Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Huang, 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 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 0 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 17 | |
| 13 | 2024 | 18 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 78 | |
| 17 | A Double‐Charged Organic Molecule Additive to Customize Electric Double Layer for Super‐Stable and Deep‐Rechargeable Zn Metal Pouch Batteriesbreakdown → | 2023 | 149 |
| 18 | 2021 | 44 | |
| 19 | Highly Efficient Blue Emission from Self-Trapped Excitons in Stable Sb3+-Doped Cs2NaInCl6 Double Perovskitesbreakdown → | 2020 | 383 |
| 20 | 2013 | 1 |
About Dan Huang
Dan Huang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Automotive Engineering and Atomic and Molecular Physics, and Optics, having authored 187 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (47 papers), Advancements in Battery Materials (46 papers), Chalcogenide Semiconductor Thin Films (33 papers), Quantum Dots Synthesis And Properties (31 papers), Perovskite Materials and Applications (27 papers), Copper-based nanomaterials and applications (22 papers), Advanced battery technologies research (20 papers) and Supercapacitor Materials and Fabrication (15 papers). The work is most often cited by research in Electrical and Electronic Engineering (4.6k citations), Electronic, Optical and Magnetic Materials (1.4k citations), Automotive Engineering (669 citations), Materials Chemistry (2.4k citations) and Renewable Energy, Sustainability and the Environment (604 citations). Dan Huang has collaborated with scholars based in China, Sweden and Norway. Frequent co-authors include Yougen Tang, Hanna He, Haiyan Wang, Zhanhu Guo, Yu‐Jun Zhao, Clas Persson, Huibing He, Xiaobo Ji, Li‐Yong Gan and Udo Schwingenschlögl. Their work appears in journals such as Applied Surface Science, Journal of Alloys and Compounds, Advanced Functional Materials, Physics Letters A and Small.
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.