Han Wang
- Materials Chemistry top 0.1%
- 2D Materials and Applications 73
- Graphene research and applications 43
- MXene and MAX Phase Materials 25
-
- Advanced Memory and Neural Computing 36
- Perovskite Materials and Applications 27
-
- Ga2O3 and related materials 20
- Biomedical Engineering top 0.5%
-
- GaN-based semiconductor devices and materials 21
-
- Neuroscience and Neural Engineering 18
- Co-authors
- Fengnian XiaYichen JiaMadan DubeyAshwin RamasubramaniamDi XiaoTomás PalaciosXi LingJing Kong
- Cited by
- Materials ChemistryElectrical and Electronic EngineeringElectronic, Optical and Magnetic Materials
- Journals
- Nano Letters (11 papers)Advanced Materials (10 papers)IEEE Electron Device Letters (9 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Han Wang
210 papers receiving 18.3k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Materials Chemistry 14.1k
- Electrical and Electronic Engineering 10.0k
- Electronic, Optical and Magnetic Materials 2.8k
- Atomic and Molecular Physics, and Optics 2.8k
- Biomedical Engineering 3.7k
Countries citing papers authored by Han Wang
This map shows the geographic impact of Han Wang'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 Han Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Wang more than expected).
Fields of papers citing papers by Han Wang
This network shows the impact of papers produced by Han Wang. 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 Han Wang. The network helps show where Han Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Han Wang, 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 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 41 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 18 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 14 | |
| 14 | 2021 | 23 | |
| 15 | 2020 | 45 | |
| 16 | 2020 | 12 | |
| 17 | 2019 | 248 | |
| 18 | 2014 | 4 | |
| 19 | 2011 | 10 | |
| 20 | 2011 | 6 |
About Han Wang
Han Wang is a scholar working on Acoustics and Ultrasonics, Materials Chemistry, Electrical and Electronic Engineering, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 227 papers that have together received 18.7k indexed citations. Recurring topics across this work include 2D Materials and Applications (73 papers), Graphene research and applications (43 papers), Advanced Memory and Neural Computing (36 papers), Perovskite Materials and Applications (27 papers), MXene and MAX Phase Materials (25 papers), GaN-based semiconductor devices and materials (21 papers), Ga2O3 and related materials (20 papers) and Neuroscience and Neural Engineering (18 papers). The work is most often cited by research in Materials Chemistry (14.1k citations), Electrical and Electronic Engineering (10.0k citations), Electronic, Optical and Magnetic Materials (2.8k citations), Atomic and Molecular Physics, and Optics (2.8k citations) and Biomedical Engineering (3.7k citations). Han Wang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Fengnian Xia, Yichen Jia, Madan Dubey, Ashwin Ramasubramaniam, Di Xiao, Tomás Palacios, Xi Ling, Jing Kong, M. S. Dresselhaus and Huan Zhao. Their work appears in journals such as Nano Letters, Advanced Materials, IEEE Electron Device Letters, ACS Nano and IEEE Transactions on Electron Devices.
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.