Hai Hai

200 papers and 935 indexed citations i.

About

Hai Hai is a scholar working on Molecular Biology, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Hai Hai has authored 200 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Materials Chemistry and 21 papers in Mechanical Engineering. Recurrent topics in Hai Hai’s work include Aluminum Alloy Microstructure Properties (7 papers), Natural product bioactivities and synthesis (6 papers) and Aluminum Alloys Composites Properties (5 papers). Hai Hai is often cited by papers focused on Aluminum Alloy Microstructure Properties (7 papers), Natural product bioactivities and synthesis (6 papers) and Aluminum Alloys Composites Properties (5 papers). Hai Hai collaborates with scholars based in China, Sweden and Mongolia. Hai Hai's co-authors include Peng Peng, Jing, Zhang, Yan, Jian JIAN, Zhang Zhang, Li, Zhou, Shou and Zhang and has published in prestigious journals such as British Journal of Clinical Pharmacology, Phytomedicine and 土壤圈:英文版.

In The Last Decade

Co-authorship network of co-authors of Hai Hai i

Fields of papers citing papers by Hai Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai Hai. 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 Hai. The network helps show where Hai Hai may publish in the future.

Countries citing papers authored by Hai Hai

Since Specialization
Citations

This map shows the geographic impact of Hai Hai'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 Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Hai 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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2025