Guoxin Liu

932 citations
80 papers · 683 · h-index 14

Impact in

Papers in

Guoxin Liu

71 papers receiving 666 citations

Peers

Guoxin Liu
Comparison fields: 5 of 131
  • Computer Networks and Communications 164
  • Information Systems 135
  • Cancer Research 65
  • Computer Science Applications 22
  • Management Information Systems 34
Replace Xuan Zhou with:
Xuan Zhou China
Junlin Yu China
Panagiotis Georgiadis Greece
Juntao Chen United States
Xia China
Rong Jiang China
Xi Liu China
Guoxin Liu China
Tiejun Pan China
Tzu-Hung Lin Taiwan
Guoxin Liu relative to Xuan Zhou China Xuan Zhou's profile →
Citations per field
00.5×4.4×
Xuan Zhou · 1×
Citations per year

Countries citing papers authored by Guoxin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Guoxin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoxin Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guoxin Liu Line = papers co-authored together Guoxin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Anemoside B4 exerts anti-cancer effect by inducing apoptosis and autophagy through inhibiton of PI3K/Akt/mTOR pathway in hepatocellular carcinoma.
201952
2 201449
3 202035
4
METTL3 induces bone marrow mesenchymal stem cells osteogenic differentiation and migration through facilitating M1 macrophage differentiation.
202135
5 201734
6 202431
7 202128
8 201728
9 201526
10 201724
11 201218
12 202017
13 201516
14 201314
15 202213
16 201612
17 202311
18 202211
19 201211
20 201611

About Guoxin Liu

Guoxin Liu is a scholar working on Computer Networks and Communications, Molecular Biology, Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 80 papers that have together received 683 indexed citations. Recurring topics across this work include Caching and Content Delivery (12 papers), Cloud Computing and Resource Management (9 papers), Peer-to-Peer Network Technologies (8 papers), Probability and Risk Models (8 papers), Advanced Data Storage Technologies (8 papers), Insurance, Mortality, Demography, Risk Management (6 papers), DNA and Biological Computing (5 papers) and Stochastic processes and financial applications (4 papers). The work is most often cited by research in Computer Networks and Communications (164 citations), Information Systems (135 citations), Cancer Research (65 citations), Computer Science Applications (22 citations) and Management Information Systems (34 citations). Guoxin Liu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Haiying Shen, Haoyu Wang, Jie Wei, Qiang Gao, Ying Zhang, Hao Liu, Jian Zhang, Depei Wang, Jin Li and Lei Yang. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, Semigroup Forum, Journal of Agricultural and Food Chemistry, Insurance Mathematics and Economics and PLoS ONE.

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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