Chao Ni

49 papers and 1.7k indexed citations i.

About

Chao Ni is a scholar working on Analytical Chemistry, Materials Chemistry and Plant Science. According to data from OpenAlex, Chao Ni has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Analytical Chemistry, 11 papers in Materials Chemistry and 11 papers in Plant Science. Recurrent topics in Chao Ni’s work include Spectroscopy and Chemometric Analyses (13 papers), Industrial Vision Systems and Defect Detection (10 papers) and Smart Agriculture and AI (7 papers). Chao Ni is often cited by papers focused on Spectroscopy and Chemometric Analyses (13 papers), Industrial Vision Systems and Defect Detection (10 papers) and Smart Agriculture and AI (7 papers). Chao Ni collaborates with scholars based in China, United States and United Kingdom. Chao Ni's co-authors include Y TSENG, Chihpin Huang, Hong Lin, S. İsmat Shah, Dongyi Wang, Tingting Zhu, Zhenye Li, Darrin J. Pochan, Lisa Pakstis and Muhammad Raffi and has published in prestigious journals such as Journal of Applied Physics, PLoS ONE and Physical Review B.

In The Last Decade

Co-authorship network of co-authors of Chao Ni i

Fields of papers citing papers by Chao Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao Ni

Since Specialization
Citations

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