Li Cao

1.5k citations
60 papers · 1.1k indexed · 1 hit paper · h-index 20
Topics
Energy Efficient Wireless Sensor Networks (19 papers)Metaheuristic Optimization Algorithms Research (18 papers)Machine Learning and ELM (8 papers)
Partner nations
ChinaSingaporeHong Kong

In The Last Decade

Li Cao

58 papers receiving 1.0k citations

Hit Papers

Review and empirical analysis of sparrow search algorithm202320262024202520234080120

Peers

Li Cao
Comparison fields: 5 of 118
  • Artificial Intelligence 371
  • Electrical and Electronic Engineering 297
  • Computer Networks and Communications 279
  • Computer Vision and Pattern Recognition 159
  • Control and Systems Engineering 133
Replace Zhenyu Lu with:
Zhenyu Lu China
Narinder Singh India
Jiaqi Zhang China
Kangshun Li China
Jia Zhao China
Di Zhang China
Kang‐Di Lu China
Veronica Piccialli Italy
Li Cao relative to Zhenyu Lu China Zhenyu Lu's profile →
Citations per field
00.5×1.5×
Zhenyu Lu · 1×
Citations per year

Countries citing papers authored by Li Cao

Since Specialization
Citations

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

Fields of papers citing papers by Li Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Cao. A scholar is included among the top collaborators of Li Cao 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 Li Cao. Li Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 6
5 24
6 5
7 13
8 13
9 33
10 23
11 17
12 18
13 13
14 30
15 19
16
Anti-osteosarcoma effect of novel pyran-annulated heterocycles derivatives
1
17 1
18 4
19 10
20 18

About Li Cao

Li Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Business and International Management, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (19 papers), Metaheuristic Optimization Algorithms Research (18 papers) and Machine Learning and ELM (8 papers). The work is most often cited by research in Computer Networks and Communications (279 citations), Artificial Intelligence (371 citations) and Computer Vision and Pattern Recognition (159 citations). Li Cao has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yinggao Yue, Francis E. H. Tay, Yong Cai, Zhongyi Hu, Minghai Xu, Shuxin Wang, Bo Hang, Bo Li, Zhongqiang Luo and An Yong Li. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports and IEEE Access.

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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