Hai‐Chen Wang
Impact in
- Materials Chemistry top 5%
- Machine Learning in Materials Science
- Hydrogen Storage and Materials
- Advanced Thermoelectric Materials and Devices
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- Heusler alloys: electronic and magnetic properties
- Magnetic and transport properties of perovskites and related materials
Papers in
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- Machine Learning in Materials Science 16
- Hydrogen Storage and Materials 8
- 2D Materials and Applications 3
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- Magnetic and transport properties of perovskites and related materials 5
- Co-authors
- Miguel A. L. Marques (25 shared papers)Silvana Botti (11 shared papers)Bi‐Yu Tang (11 shared papers)Jonathan Schmidt (7 shared papers)Donghai Wu (5 shared papers)Liuting Wei (5 shared papers)Paul Pistor (2 shared papers)Tiago F. T. Cerqueira (8 shared papers)
In The Last Decade
Hai‐Chen Wang
41 papers receiving 799 citations
Peers
Comparison fields: 5 of 34
- Materials Chemistry 494
- Electronic, Optical and Magnetic Materials 99
- Geophysics 41
- Condensed Matter Physics 32
- Inorganic Chemistry 38
Countries citing papers authored by Hai‐Chen Wang
This map shows the geographic impact of Hai‐Chen 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 Hai‐Chen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Chen Wang more than expected).
Fields of papers citing papers by Hai‐Chen Wang
This network shows the impact of papers produced by Hai‐Chen 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 Hai‐Chen Wang. The network helps show where Hai‐Chen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai‐Chen 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 95 | |
| 2 | 2020 | 82 | |
| 3 | 2023 | 79 | |
| 4 | 2014 | 75 | |
| 5 | 2024 | 71 | |
| 6 | 2019 | 57 | |
| 7 | 2025 | 37 | |
| 8 | 2014 | 34 | |
| 9 | 2016 | 28 | |
| 10 | 2021 | 27 | |
| 11 | 2023 | 21 | |
| 12 | 2021 | 19 | |
| 13 | 2016 | 17 | |
| 14 | 2025 | 17 | |
| 15 | 2015 | 16 | |
| 16 | 2015 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2015 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 9 |
About Hai‐Chen Wang
Hai‐Chen Wang is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Biomaterials, Inorganic Chemistry and Mechanical Engineering, having authored 44 papers that have together received 809 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Hydrogen Storage and Materials (8 papers), Intermetallics and Advanced Alloy Properties (7 papers), Magnetic and transport properties of perovskites and related materials (5 papers), Magnesium Alloys: Properties and Applications (4 papers), Inorganic Chemistry and Materials (4 papers), Perovskite Materials and Applications (3 papers) and 2D Materials and Applications (3 papers). The work is most often cited by research in Materials Chemistry (494 citations), Electronic, Optical and Magnetic Materials (99 citations), Geophysics (41 citations), Condensed Matter Physics (32 citations) and Inorganic Chemistry (38 citations). Hai‐Chen Wang has collaborated with scholars based in Germany, China and Portugal. Frequent co-authors include Miguel A. L. Marques, Silvana Botti, Bi‐Yu Tang, Jonathan Schmidt, Donghai Wu, Liuting Wei, Paul Pistor, Tiago F. T. Cerqueira, Aldo Humberto Romero and Pedro Borlido. Their work appears in journals such as npj Computational Materials, Inorganic Chemistry, Journal of Materials Chemistry A, The Journal of Physical Chemistry Letters and Materials & Design.
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.