Jing Nie

64 papers and 721 indexed citations i.

About

Jing Nie is a scholar working on Plant Science, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jing Nie has authored 64 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 16 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jing Nie’s work include Smart Agriculture and AI (15 papers), Quantum Information and Cryptography (12 papers) and Quantum Computing Algorithms and Architecture (6 papers). Jing Nie is often cited by papers focused on Smart Agriculture and AI (15 papers), Quantum Information and Cryptography (12 papers) and Quantum Computing Algorithms and Architecture (6 papers). Jing Nie collaborates with scholars based in China, Türkiye and Ireland. Jing Nie's co-authors include Yang Li, Xuewei Chao, Jingbin Li, He‐Shan Song, Jie Song, Yan Xia, Jin‐Liang Guo, Kang Wang, Sezai Erċışlı and Sally McClean and has published in prestigious journals such as Computers in Human Behavior, Sensors and Actuators B Chemical and Frontiers in Plant Science.

In The Last Decade

Co-authorship network of co-authors of Jing Nie i

Fields of papers citing papers by Jing Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Nie

Since Specialization
Citations

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