Junning Liu

81 total papers · 2.9k total citations
53 papers, 1.9k citations indexed

About

Junning Liu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Junning Liu has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Junning Liu's work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Epigenetics and DNA Methylation (5 papers) and Cooperative Communication and Network Coding (5 papers). Junning Liu is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Epigenetics and DNA Methylation (5 papers) and Cooperative Communication and Network Coding (5 papers). Junning Liu collaborates with scholars based in China, United States and Australia. Junning Liu's co-authors include Hongyan Tang, Ming Zhao, Palash Nandy, Ullas Gargi, M.L. Lambert, James Davidson, Yu He, Don Towsley, Dennis Goeckel and Weimin Du and has published in prestigious journals such as Advanced Functional Materials, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Junning Liu

47 papers receiving 1.8k citations

Hit Papers

The YouTube video recomme... 2010 2026 2015 2020 2010 2020 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Junning Liu 681 496 348 253 239 53 1.9k
Yu He 788 1.2× 517 1.0× 289 0.8× 183 0.7× 145 0.6× 73 2.2k
Bin Li 599 0.9× 715 1.4× 353 1.0× 173 0.7× 129 0.5× 80 1.9k
Peter Eklund 407 0.6× 726 1.5× 202 0.6× 166 0.7× 162 0.7× 114 1.9k
Takehiko Yorozu 221 0.3× 326 0.7× 243 0.7× 211 0.8× 598 2.5× 26 2.4k
Nenad Stojanović 582 0.9× 804 1.6× 179 0.5× 543 2.1× 178 0.7× 121 1.8k
Fang Wu 390 0.6× 335 0.7× 148 0.4× 280 1.1× 205 0.9× 60 2.8k
Xiaoqi Li 1.3k 2.0× 497 1.0× 310 0.9× 622 2.5× 224 0.9× 79 2.3k
Xiaojun Chen 389 0.6× 1.3k 2.6× 942 2.7× 254 1.0× 234 1.0× 121 2.8k
Amir Ahmad 388 0.6× 1.2k 2.3× 465 1.3× 170 0.7× 249 1.0× 77 2.6k
Yufeng Wang 277 0.4× 500 1.0× 290 0.8× 512 2.0× 386 1.6× 153 1.8k

Countries citing papers authored by Junning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Junning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Junning Liu. A scholar is included among the top collaborators of Junning 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 Junning Liu. Junning 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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