Yuanni Liu

886 citations
40 papers · 541 · h-index 11

Impact in

Papers in

Yuanni Liu

36 papers receiving 533 citations

Peers

Yuanni Liu
Comparison fields: 5 of 77
  • Computer Networks and Communications 240
  • Information Systems 223
  • Parasitology 41
  • Computer Science Applications 34
  • Infectious Diseases 73
Replace Isra Al-Turaiki with:
Isra Al-Turaiki Saudi Arabia
Mohammad Saidur Rahman Australia
Ananth Kalyanaraman United States
Maribel Acosta Germany
Claire Knight United Kingdom
Munwar Ali China
Xiaofeng Ding China
Aditya Thakur United States
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Citations per field
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Citations per year

Countries citing papers authored by Yuanni Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuanni Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuanni 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 Yuanni Liu Line = papers co-authored together Yuanni Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018202
2 201345
3 202128
4 202327
5
Diosgenin increased DDX3 expression in hepatocellular carcinoma.
201823
6 202120
7 201815
8 201915
9 202314
10 202013
11 202110
12 20229
13 20229
14 20189
15 20128
16 20188
17 20148
18 20148
19 20227
20 20227

About Yuanni Liu

Yuanni Liu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Infectious Diseases and Electrical and Electronic Engineering, having authored 40 papers that have together received 541 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), Privacy-Preserving Technologies in Data (9 papers), Blockchain Technology Applications and Security (7 papers), Vehicular Ad Hoc Networks (VANETs) (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Cryptography and Data Security (3 papers), Network Security and Intrusion Detection (3 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Computer Networks and Communications (240 citations), Information Systems (223 citations), Parasitology (41 citations), Computer Science Applications (34 citations) and Infectious Diseases (73 citations). Yuanni Liu has collaborated with scholars based in China, United States and India. Frequent co-authors include Jianli Pan, Ismail AlQerm, Jianyu Wang, Ying Zhao, Hong Yu, Jianyu Wang, Shanzhi Chen, Yu Cheng, Pandi Vijayakumar and Hui Zhao. Their work appears in journals such as IEEE Internet of Things Journal, Digital Communications and Networks, The Journal of Infectious Diseases, Journal of Medical Virology and International Journal of Infectious Diseases.

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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