Bing Dai

232 papers and 2.9k indexed citations i.

About

Bing Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Bing Dai has authored 232 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Materials Chemistry, 81 papers in Electrical and Electronic Engineering and 46 papers in Biomedical Engineering. Recurrent topics in Bing Dai’s work include Diamond and Carbon-based Materials Research (64 papers), Metal and Thin Film Mechanics (35 papers) and Semiconductor materials and devices (32 papers). Bing Dai is often cited by papers focused on Diamond and Carbon-based Materials Research (64 papers), Metal and Thin Film Mechanics (35 papers) and Semiconductor materials and devices (32 papers). Bing Dai collaborates with scholars based in China, Russia and United States. Bing Dai's co-authors include Jiaqi Zhu, Jiecai Han, J. Karl Johnson, David S. Sholl, Lei Yang, Jiwen Zhao, Kang Liu, Jinlong Yang, Lai‐Sheng Wang and Victor Ralchenko and has published in prestigious journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

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

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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2025