Min‐Han Lee
- Automotive Engineering top 1%
- Polymers and Plastics top 5%
- Transition Metal Oxide Nanomaterials 14
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- Advanced Memory and Neural Computing 13
- Gas Sensing Nanomaterials and Sensors 2
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- Magnetic and transport properties of perovskites and related materials 3
- Materials Chemistry top 10%
- Electronic and Structural Properties of Oxides 6
- ZnO doping and properties 4
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- Magnetic properties of thin films 4
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- Neural Networks and Reservoir Computing 3
- Co-authors
- Jungwoo Z. LeeBingyu LuYihui ZhangJinxing LiMarshall A. SchroederKang XuLi YangXuefeng Wang
- Partner nations
- United StatesFranceTaiwan
In The Last Decade
Min‐Han Lee
26 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Automotive Engineering 737
- Polymers and Plastics 440
- Electrical and Electronic Engineering 1.6k
- Electronic, Optical and Magnetic Materials 344
- Materials Chemistry 546
Countries citing papers authored by Min‐Han Lee
This map shows the geographic impact of Min‐Han Lee'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 Min‐Han Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Han Lee more than expected).
Fields of papers citing papers by Min‐Han Lee
This network shows the impact of papers produced by Min‐Han Lee. 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 Min‐Han Lee. The network helps show where Min‐Han Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min‐Han Lee, 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 | 2023 | 12 | |
| 2 | 2022 | 5 | |
| 3 | 2022 | 4 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 35 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 6 | |
| 13 | 2019 | 169 | |
| 14 | 2019 | 61 | |
| 15 | Quantifying inactive lithium in lithium metal batteriesbreakdown → | 2019 | 1145 |
| 16 | 2017 | 52 | |
| 17 | 2016 | 7 | |
| 18 | 2015 | 19 | |
| 19 | 2014 | 150 | |
| 20 | 2014 | 17 |
About Min‐Han Lee
Min‐Han Lee is a scholar working on Polymers and Plastics, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Condensed Matter Physics and Materials Chemistry, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include Transition Metal Oxide Nanomaterials (14 papers), Advanced Memory and Neural Computing (13 papers), Electronic and Structural Properties of Oxides (6 papers), ZnO doping and properties (4 papers), Magnetic properties of thin films (4 papers), Magnetic and transport properties of perovskites and related materials (3 papers), Neural Networks and Reservoir Computing (3 papers) and Gas Sensing Nanomaterials and Sensors (2 papers). The work is most often cited by research in Automotive Engineering (737 citations), Polymers and Plastics (440 citations), Electrical and Electronic Engineering (1.6k citations), Electronic, Optical and Magnetic Materials (344 citations) and Materials Chemistry (546 citations). Min‐Han Lee has collaborated with scholars based in United States, France and Taiwan. Frequent co-authors include Jungwoo Z. Lee, Bingyu Lu, Yihui Zhang, Jinxing Li, Marshall A. Schroeder, Kang Xu, Li Yang, Xuefeng Wang, Fan Yang and Mei Cai. Their work appears in journals such as Scientific Reports, Applied Physics Letters, Nature, Physical Review Materials and Physical review. B..
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.