Tie Luo

49 papers and 1.1k indexed citations i.

About

Tie Luo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Tie Luo has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 16 papers in Artificial Intelligence and 16 papers in Computer Science Applications. Recurrent topics in Tie Luo’s work include Mobile Crowdsensing and Crowdsourcing (16 papers), Auction Theory and Applications (8 papers) and IoT Networks and Protocols (5 papers). Tie Luo is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (16 papers), Auction Theory and Applications (8 papers) and IoT Networks and Protocols (5 papers). Tie Luo collaborates with scholars based in United States, Singapore and China. Tie Luo's co-authors include Hwee-Pink Tan, Tony Q. S. Quek, Sajal K. Das, Lirong Xia, Salil S. Kanhere, Chen‐Khong Tham, Jianwei Huang, Mehul Motani, Fan Wu and V. Srinivasan and has published in prestigious journals such as IEEE Communications Magazine, IEEE Journal on Selected Areas in Communications and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Tie Luo i

Fields of papers citing papers by Tie Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Tie Luo

Since Specialization
Citations

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