Chenyi Liu

406 citations
27 papers · 252 · h-index 9

Impact in

Papers in

Chenyi Liu

25 papers receiving 241 citations

Peers

Chenyi Liu
Comparison fields: 5 of 53
  • Computer Networks and Communications 96
  • Computer Vision and Pattern Recognition 53
  • Artificial Intelligence 59
  • Cell Biology 26
  • Urban Studies 8
Replace Fengjun Shang with:
Fengjun Shang China
Ramón Albajes García Spain
Lovepreet Kaur India
Ailing Xiao China
Gholamreza Farahani Iran
S. Gayathri India
V. R. Udupi India
R. Narmadha India
Mamatha Balachandra India
Gabriela Schütz Portugal
Chenyi Liu relative to Fengjun Shang China Fengjun Shang's profile →
Citations per field
00.5×6.5×
Fengjun Shang · 1×
Citations per year

Countries citing papers authored by Chenyi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 201842
3 202319
4 199518
5 202217
6 202117
7 199713
8 202313
9 19998
10 20188
11 20187
12 20207
13 20196
14 20235
15 20234
16 20073
17 20203
18 20212
19 20242
20 20222

About Chenyi Liu

Chenyi Liu is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence and Cell Biology, having authored 27 papers that have together received 252 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (6 papers), Mycotoxins in Agriculture and Food (4 papers), Plant Pathogens and Fungal Diseases (4 papers), Network Traffic and Congestion Control (4 papers), Image and Object Detection Techniques (2 papers), Advanced Neural Network Applications (2 papers), Network Security and Intrusion Detection (2 papers) and Energy Efficient Wireless Sensor Networks (2 papers). The work is most often cited by research in Computer Networks and Communications (96 citations), Computer Vision and Pattern Recognition (53 citations), Artificial Intelligence (59 citations), Cell Biology (26 citations) and Urban Studies (8 citations). Chenyi Liu has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Nan Geng, Mingwei Xu, Yuan Yang, Minlie Huang, Liqiang Nie, Yansen Wang, Tian Lan, Kai Xu, Vaneet Aggarwal and Yao Duan. Their work appears in journals such as IEEE/ACM Transactions on Networking, Computational Visual Media, Mycopathologia, Journal of Agricultural and Food Chemistry and IEEE Transactions on Vehicular Technology.

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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