Li Cui

721 citations
39 papers · 439 · h-index 9

Impact in

Papers in

Li Cui

31 papers receiving 395 citations

Peers

Li Cui
Comparison fields: 5 of 66
  • Computer Networks and Communications 253
  • Computer Vision and Pattern Recognition 70
  • Electrical and Electronic Engineering 170
  • Water Science and Technology 27
  • Artificial Intelligence 52
Replace Guorui Li with:
Guorui Li China
Stefano Tennina Italy
Diethelm Ostry Australia
Gábor Pap United States
Daowei Bi China
Jingwen Liang China
P. Muthuchidambaranathan India
S. Sivakumar Canada
Li Cui relative to Guorui Li China Guorui Li's profile →
Citations per field
00.5×1.5×2.4×
Guorui Li · 1×
Citations per year

Countries citing papers authored by Li Cui

Since Specialization
Citations

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

Fields of papers citing papers by Li Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005151
2 202258
3 200758
4 200536
5 200631
6 201115
7 201115
8 201114
9 202112
10 20245
11 20125
12 20234
13 20184
14 20243
15 20212
16 20202
17 20162
18
Algorithms for Mining Constrained Association Rules
20002
19 20212
20 20112

About Li Cui

Li Cui is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Electrical and Electronic Engineering, having authored 39 papers that have together received 439 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (7 papers), Cryptography and Data Security (4 papers), Blockchain Technology Applications and Security (4 papers), Mobile Ad Hoc Networks (4 papers), Robotics and Sensor-Based Localization (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Indoor and Outdoor Localization Technologies (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Computer Networks and Communications (253 citations), Computer Vision and Pattern Recognition (70 citations), Electrical and Electronic Engineering (170 citations), Water Science and Technology (27 citations) and Artificial Intelligence (52 citations). Li Cui has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Changcheng Huang, Xiaoguang Niu, Yuan Cheng, Wei Chu, Yu Fang, Kun Huang, Meng Wang, Yuhe Zhang, Xi Huang and Shi‐Long Lu. Their work appears in journals such as Sensors, IEEE Transactions on Dependable and Secure Computing, Optics Communications, Buildings and BMC Cancer.

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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