Shengbin Jia

11 papers and 514 indexed citations i.

About

Shengbin Jia is a scholar working on Artificial Intelligence, Molecular Biology and Management Science and Operations Research. According to data from OpenAlex, Shengbin Jia has authored 11 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Management Science and Operations Research. Recurrent topics in Shengbin Jia’s work include Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (3 papers). Shengbin Jia is often cited by papers focused on Topic Modeling (7 papers), Advanced Graph Neural Networks (4 papers) and Natural Language Processing Techniques (3 papers). Shengbin Jia collaborates with scholars based in China and United Kingdom. Shengbin Jia's co-authors include Yang Xiang, Xiaojun Chen, Yang Li, Maozhen Li, Ling Ding, Yang Xiang, Xingxing Jiang, Hong Shen, Shuping Liu and Xing‐Jin He and has published in prestigious journals such as Expert Systems with Applications, Talanta and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Co-authorship network of co-authors of Shengbin Jia i

Fields of papers citing papers by Shengbin Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shengbin Jia

Since Specialization
Citations

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