Bing Dai

About

Bing Dai is a scholar working on Biomedical Engineering, Mechanical Engineering and Surfaces, Coatings and Films. According to data from OpenAlex, Bing Dai has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 11 papers in Mechanical Engineering and 11 papers in Surfaces, Coatings and Films. Recurrent topics in Bing Dai’s work include Advanced Sensor and Energy Harvesting Materials (11 papers), Surface Modification and Superhydrophobicity (8 papers) and Advanced Materials and Mechanics (5 papers). Bing Dai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (11 papers), Surface Modification and Superhydrophobicity (8 papers) and Advanced Materials and Mechanics (5 papers). Bing Dai collaborates with scholars based in China, United States and United Kingdom. Bing Dai's co-authors include Shutao Wang, Xizi Wan, Lianxin Shi, Feilong Zhang, Lei Jiang, Xueji Zhang, Xi Liu, Kan Li, Xiaokun Gu and Tailin Xu and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Materials and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Bing Dai i

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Fields of papers citing papers by Bing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Bing Dai

Since Specialization

Citations

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