Matthew L. Chin
- Materials Chemistry top 2%
- 2D Materials and Applications 17
- Graphene research and applications 12
- MXene and MAX Phase Materials 5
-
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 4
- Perovskite Materials and Applications 4
- Biomedical Engineering top 5%
- Nanowire Synthesis and Applications 8
- Plasmonic and Surface Plasmon Research 6
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)Nano Letters (3 papers)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Matthew L. Chin
33 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 42
- Materials Chemistry 2.5k
- Electrical and Electronic Engineering 1.5k
- Biomedical Engineering 511
- Electronic, Optical and Magnetic Materials 160
- Renewable Energy, Sustainability and the Environment 133
Countries citing papers authored by Matthew L. Chin
This map shows the geographic impact of Matthew L. Chin'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 Matthew L. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew L. Chin more than expected).
Fields of papers citing papers by Matthew L. Chin
This network shows the impact of papers produced by Matthew L. Chin. 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 Matthew L. Chin. The network helps show where Matthew L. Chin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew L. Chin, 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 | 11 | |
| 2 | 2022 | 25 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 10 | |
| 6 | 2018 | 20 | |
| 7 | 2018 | 17 | |
| 8 | Process Development for Reactive-Ion Etching of Molybdenum Disulfide (MoS2) Utilizing a Poly(methyl methacrylate) (PMMA) Etch Mask | 2017 | 1 |
| 9 | Effects of Growth Conditions on the Measured Electrical Properties of Monolayer Molybdenum Disulfide | 2017 | 1 |
| 10 | 2015 | 86 | |
| 11 | 2014 | 277 | |
| 12 | 2014 | 10 | |
| 13 | 2013 | 31 | |
| 14 | Integrated Circuits Based on Bilayer MoS | 2012 | 4 |
| 15 | Graphene-based Nanoelectronics (FY11) | 2012 | 1 |
| 16 | 2011 | 55 | |
| 17 | 2011 | 4 | |
| 18 | Graphene-based Nanoelectronics | 2011 | 1 |
| 19 | 2010 | 4 | |
| 20 | 2010 | 3 |
About Matthew L. Chin
Matthew L. Chin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering, having authored 36 papers that have together received 2.9k indexed citations. Recurring topics across this work include 2D Materials and Applications (17 papers), Graphene research and applications (12 papers), Nanowire Synthesis and Applications (8 papers), Advanced Memory and Neural Computing (6 papers), Plasmonic and Surface Plasmon Research (6 papers), MXene and MAX Phase Materials (5 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Perovskite Materials and Applications (4 papers). The work is most often cited by research in Materials Chemistry (2.5k citations), Electrical and Electronic Engineering (1.5k citations) and Biomedical Engineering (511 citations). Matthew L. Chin has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Madan Dubey, Jing Kong, Tomás Palacios, Allen Hsu, Yi‐Hsien Lee, Han Wang, Yumeng Shi, Lili Yu, Lain‐Jong Li and Han Wang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.
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.