Cangzhou Normal University

337 papers and 2.2k indexed citations i.

About

In recent decades, authors affiliated with Cangzhou Normal University have published 337 papers, which have received a total of 2.2k indexed citations. Scholars at this organization have produced 54 papers in Artificial Intelligence, 34 papers in Materials Chemistry and 33 papers in Information Systems on the topics of Educational Technology and Pedagogy (24 papers), AI and Big Data Applications (12 papers) and Online Learning and Analytics (9 papers). Their work is cited by papers focused on Materials Chemistry (329 citations), Molecular Biology (249 citations) and Plant Science (205 citations). Authors at Cangzhou Normal University collaborate with scholars in China, South Korea and United States and have published in prestigious journals including Advanced Materials, PLoS ONE and The Science of The Total Environment. Some of Cangzhou Normal University's most productive authors include Changxia Liu, Li Zhang, Dong Yang, Minghua Liu, Qingxian Jin, Minwei Chai, Fuchen Shi, Baowei Liu, Runhua Fan and Yunpeng Qu.

In The Last Decade

Fields of papers published by authors at Cangzhou Normal University

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Cangzhou Normal University at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Cangzhou Normal University at the time of their publication.

Countries citing scholars working at Cangzhou Normal University

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Cangzhou Normal University. 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 papers produced at Cangzhou Normal University with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cangzhou Normal University 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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