Yanli Li

475 total citations
45 papers, 334 citations indexed

About

Yanli Li is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Yanli Li has authored 45 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in Yanli Li's work include Opportunistic and Delay-Tolerant Networks (11 papers), Caching and Content Delivery (10 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Yanli Li is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (11 papers), Caching and Content Delivery (10 papers) and Vehicular Ad Hoc Networks (VANETs) (5 papers). Yanli Li collaborates with scholars based in China and Canada. Yanli Li's co-authors include Xiaonan Wang, Wenbo Bu, Yelin Wu, Guanglei Lv, Xiaonan Wang, Xingwei Wang, Zheng-Wei Zuo, Zhong Zhou, Wei Wu and Xianyong Li and has published in prestigious journals such as Chemical Science, Pattern Recognition and IEEE Transactions on Vehicular Technology.

In The Last Decade

Yanli Li

39 papers receiving 324 citations

Peers

Yanli Li
Comparison fields: 5 of 79
  • Computer Networks and Communications 154
  • Electrical and Electronic Engineering 97
  • Biomedical Engineering 67
  • Computer Vision and Pattern Recognition 44
  • Materials Chemistry 40
Replace Chun Shan with:
Chun Shan China
Jianping Yu China
Yingying Sun China
Lavish Kansal India
Yoonjin Kim South Korea
Lulu Li China
Yulu Yang China
Priya Mukherjee India
Prachi Ahlawat India
Chun Shan China View profile →
Citations per field, relative to Yanli Li
Yanli Li · 1×
Citations per year, relative to Yanli Li
Yanli Li · 1×

Countries citing papers authored by Yanli Li

Since Specialization
Citations

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

Fields of papers citing papers by Yanli Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanli Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yanli Li. A scholar is included among the top collaborators of Yanli Li 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 Yanli Li. Yanli Li 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
# Work Indexed citations
1 4
2 1
3 1
4 9
5 1
6 3
7 25
8 3
9 2
10 13
11 1
12 27
13 12
14 4
15
Using New Venture Competitions to Link the Library and Business Students
0
16 2
17 6
18 1
19 1
20 1

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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