Hai‐Chen Wang

35 papers and 487 indexed citations i.

About

Hai‐Chen Wang is a scholar working on Materials Chemistry, Inorganic Chemistry and Condensed Matter Physics. According to data from OpenAlex, Hai‐Chen Wang has authored 35 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Materials Chemistry, 10 papers in Inorganic Chemistry and 8 papers in Condensed Matter Physics. Recurrent topics in Hai‐Chen Wang’s work include Machine Learning in Materials Science (10 papers), Superconductivity in MgB2 and Alloys (6 papers) and Hydrogen Storage and Materials (6 papers). Hai‐Chen Wang is often cited by papers focused on Machine Learning in Materials Science (10 papers), Superconductivity in MgB2 and Alloys (6 papers) and Hydrogen Storage and Materials (6 papers). Hai‐Chen Wang collaborates with scholars based in Germany, China and Portugal. Hai‐Chen Wang's co-authors include Miguel A. L. Marques, Silvana Botti, Bi‐Yu Tang, Liuting Wei, Donghai Wu, Paul Pistor, Rong‐Kai Pan, Jonathan Schmidt, Tao-Tao Shi and Tiago F. T. Cerqueira and has published in prestigious journals such as Advanced Materials, Nature Communications and The Journal of Physical Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Hai‐Chen Wang i

Fields of papers citing papers by Hai‐Chen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Hai‐Chen Wang

Since Specialization
Citations

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).

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.

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