Hai Ni

About

Hai Ni is a scholar working on Materials Chemistry, Mechanical Engineering and Polymers and Plastics. According to data from OpenAlex, Hai Ni has authored 18 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Materials Chemistry, 6 papers in Mechanical Engineering and 6 papers in Polymers and Plastics. Recurrent topics in Hai Ni’s work include Corrosion Behavior and Inhibition (6 papers), Metallic Glasses and Amorphous Alloys (5 papers) and Self-Healing Polymer Materials (4 papers). Hai Ni is often cited by papers focused on Corrosion Behavior and Inhibition (6 papers), Metallic Glasses and Amorphous Alloys (5 papers) and Self-Healing Polymer Materials (4 papers). Hai Ni collaborates with scholars based in United States, South Korea and China. Hai Ni's co-authors include Mark D. Soucek, Allen Skaja, William J. Simonsick, Ainissa G. Ramirez, Hoo-Jeong Lee, David T. Wu, J.Q. Wang, David J. Aaserud, Weihao Liu and W.L. Hou and has published in prestigious journals such as Applied Physics Letters, Chemistry of Materials and Polymer.

In The Last Decade

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

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Fields of papers citing papers by Hai Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hai Ni

Since Specialization

Citations

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