Nianbin Wang

33 papers and 430 indexed citations i.

About

Nianbin Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oceanography. According to data from OpenAlex, Nianbin Wang has authored 33 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Oceanography. Recurrent topics in Nianbin Wang’s work include Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nianbin Wang is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Topic Modeling (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Nianbin Wang collaborates with scholars based in China. Nianbin Wang's co-authors include Zunchun Zhou, Huan Deng, Weidong Liu, Chang Liu, Chongbo He, Bei Jiang, Xianggang Gao, Shaobin Cai, Hongbin Wang and Qingbo Li and has published in prestigious journals such as Aquaculture, IEEE Access and Environmental Toxicology and Chemistry.

In The Last Decade

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

Fields of papers citing papers by Nianbin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nianbin Wang

Since Specialization
Citations

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