Lingzhi Wang

27 papers and 368 indexed citations i.

About

Lingzhi Wang is a scholar working on Artificial Intelligence, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Lingzhi Wang has authored 27 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Materials Chemistry and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Lingzhi Wang’s work include Topic Modeling (11 papers), Diamond and Carbon-based Materials Research (5 papers) and Natural Language Processing Techniques (5 papers). Lingzhi Wang is often cited by papers focused on Topic Modeling (11 papers), Diamond and Carbon-based Materials Research (5 papers) and Natural Language Processing Techniques (5 papers). Lingzhi Wang collaborates with scholars based in China, Hong Kong and Singapore. Lingzhi Wang's co-authors include Yue Shen, Zhi Li, Kam‐Fai Wong, Wenhua Liu, Eric F. C. Cheung, Raymond C. K. Chan, Xingshan Zeng, Jing Li, Tongtong Zhang and Zhiqin Chu and has published in prestigious journals such as Nature Communications, Nano Letters and Neuropsychologia.

In The Last Decade

Co-authorship network of co-authors of Lingzhi Wang i

Fields of papers citing papers by Lingzhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingzhi Wang

Since Specialization
Citations

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