Hieu‐Chi Dam
- Materials Chemistry top 5%
- Electrical and Electronic Engineering
- Condensed Matter Physics top 5%
- Electronic, Optical and Magnetic Materials top 10%
- Organic Chemistry
- Co-authors
- Berndt SjöbergJens ToftYoshihiro IwasaKosmas PrassidesHiori KinoTaishi TakenobuTakayoshi ItoTadaoki Mitani
- Topics
- Machine Learning in Materials Science (21 papers)Graphene research and applications (12 papers)X-ray Diffraction in Crystallography (11 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of Chemical PhysicsPhysical review. B, Condensed matter
- Partner nations
- JapanVietnamUnited Kingdom
In The Last Decade
Hieu‐Chi Dam
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Materials Chemistry 866
- Electrical and Electronic Engineering 298
- Condensed Matter Physics 272
- Electronic, Optical and Magnetic Materials 206
- Organic Chemistry 141
Countries citing papers authored by Hieu‐Chi Dam
This map shows the geographic impact of Hieu‐Chi Dam'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 Hieu‐Chi Dam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hieu‐Chi Dam more than expected).
Fields of papers citing papers by Hieu‐Chi Dam
This network shows the impact of papers produced by Hieu‐Chi Dam. 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 Hieu‐Chi Dam. The network helps show where Hieu‐Chi Dam may publish in the future.
Co-authorship network of co-authors of Hieu‐Chi Dam
This figure shows the co-authorship network connecting the top 25 collaborators of Hieu‐Chi Dam. A scholar is included among the top collaborators of Hieu‐Chi Dam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hieu‐Chi Dam. Hieu‐Chi Dam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 21 | |
| 10 | 23 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 23 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 27 | |
| 20 | 5 |
About Hieu‐Chi Dam
Hieu‐Chi Dam is a scholar working on Materials Chemistry, Surfaces, Coatings and Films and Electronic, Optical and Magnetic Materials, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (21 papers), Graphene research and applications (12 papers) and X-ray Diffraction in Crystallography (11 papers). The work is most often cited by research in Condensed Matter Physics (272 citations), Materials Chemistry (866 citations) and Structural Biology (17 citations). Hieu‐Chi Dam has collaborated with scholars based in Japan, Vietnam and United Kingdom. Frequent co-authors include Berndt Sjöberg, Jens Toft, Yoshihiro Iwasa, Kosmas Prassides, Hiori Kino, Taishi Takenobu, Takayoshi Ito, Tadaoki Mitani, Nguyen Thanh Cuong and Takashi Miyake. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Physical review. B, Condensed matter.
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.