Tie Liu

172 total papers · 2.5k total citations
97 papers, 1.6k citations indexed

About

Tie Liu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tie Liu has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Electrical and Electronic Engineering, 44 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Tie Liu's work include Wireless Communication Security Techniques (37 papers), Cooperative Communication and Network Coding (33 papers) and Advanced MIMO Systems Optimization (17 papers). Tie Liu is often cited by papers focused on Wireless Communication Security Techniques (37 papers), Cooperative Communication and Network Coding (33 papers) and Advanced MIMO Systems Optimization (17 papers). Tie Liu collaborates with scholars based in United States, China and Israel. Tie Liu's co-authors include Shlomo Shamai, Pramod Viswanath, Ruoheng Liu, H. Vincent Poor, Chao Tian, Cong Shen, Michael P. Fitz, Chung Chan, H. Weingarten and Yossef Steinberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Information Theory.

In The Last Decade

Tie Liu

90 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tie Liu	1.2k	901	278	145	111	97	1.6k
Cong Ling	1.5k 1.2×	1.0k 1.2×	538 1.9×	227 1.6×	162 1.5×	191	2.3k
Hui Li	544 0.4×	968 1.1×	247 0.9×	185 1.3×	32 0.3×	143	1.8k
Abhishek Gupta	1.0k 0.8×	392 0.4×	130 0.5×	77 0.5×	35 0.3×	77	1.7k
Xiang Chen	1.2k 1.0×	1.2k 1.4×	416 1.5×	207 1.4×	54 0.5×	189	2.2k
William H. Tranter	1.4k 1.1×	1.1k 1.2×	215 0.8×	81 0.6×	43 0.4×	85	2.1k
Wei Li	409 0.3×	395 0.4×	476 1.7×	174 1.2×	78 0.7×	90	1.3k
Wai‐Kai Chen	753 0.6×	203 0.2×	192 0.7×	100 0.7×	33 0.3×	149	1.5k
Shuai Liu	350 0.3×	1.2k 1.3×	180 0.6×	78 0.5×	104 0.9×	152	2.2k
Ruchir Puri	1.7k 1.4×	275 0.3×	205 0.7×	43 0.3×	28 0.3×	116	2.1k
Oreste Villa	316 0.3×	873 1.0×	329 1.2×	206 1.4×	54 0.5×	67	1.6k

Countries citing papers authored by Tie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tie Liu. A scholar is included among the top collaborators of Tie Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tie Liu. Tie Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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