Cheng Niu

17 papers and 336 indexed citations i.

About

Cheng Niu is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Cheng Niu has authored 17 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 7 papers in Information Systems and 2 papers in Management Science and Operations Research. Recurrent topics in Cheng Niu’s work include Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Semantic Web and Ontologies (4 papers). Cheng Niu is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (9 papers) and Semantic Web and Ontologies (4 papers). Cheng Niu collaborates with scholars based in China, United States and Hong Kong. Cheng Niu's co-authors include Rohini K. Srihari, Wei Li, Ming Zhou, Ming Zhou, Wei Li, Lei Shi, Jianfeng Gao, Shiqi Zhao, Ting Liu and Long Jiang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, PLoS neglected tropical diseases and The Chemical Record.

In The Last Decade

Co-authorship network of co-authors of Cheng Niu i

Fields of papers citing papers by Cheng Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cheng Niu

Since Specialization
Citations

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