Lanshun Nie

17 papers and 583 indexed citations i.

About

Lanshun Nie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Lanshun Nie has authored 17 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Lanshun Nie’s work include Context-Aware Activity Recognition Systems (4 papers), Scheduling and Optimization Algorithms (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). Lanshun Nie is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Scheduling and Optimization Algorithms (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). Lanshun Nie collaborates with scholars based in China, United States and United Kingdom. Lanshun Nie's co-authors include Dechen Zhan, Xiaofei Xu, Chenyang Lu, Chengjie Wu, Humberto González, Dolvara Gunatilaka, Yixin Chen, Bo Li, Mo Sha and Wencong Xiao and has published in prestigious journals such as Proceedings of the IEEE, Sensors and IEEE Access.

In The Last Decade

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

Fields of papers citing papers by Lanshun Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lanshun Nie

Since Specialization
Citations

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