Yingshu Li

8.8k citations
217 papers · 6.0k indexed · 2 hit papers · h-index 36
Topics
Energy Efficient Wireless Sensor Networks (76 papers)Mobile Ad Hoc Networks (61 papers)Privacy-Preserving Technologies in Data (32 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessIEEE Journal on Selected Areas in Communications
Partner nations
United StatesChinaCanada

In The Last Decade

Yingshu Li

208 papers receiving 5.8k citations

Hit Papers

Energy-efficient target coverage in wireless sensor networks200520262012201920052016200400600

Peers

Yingshu Li
Comparison fields: 5 of 122
  • Computer Networks and Communications 3.8k
  • Electrical and Electronic Engineering 1.9k
  • Artificial Intelligence 1.4k
  • Information Systems 717
  • Computer Science Applications 632
Replace Shibo He with:
Shibo He China
Guohong Cao United States
Jianhua Ma Japan
Pascal Bouvry Luxembourg
Nguyen H. Tran South Korea
Symeon Papavassiliou Greece
Dirk Grunwald United States
Wanchun Dou China
Yunhao Liu China
Liusheng Huang China
Yingshu Li relative to Shibo He China Shibo He's profile →
Citations per field
00.5×1.6×
Shibo He · 1×
Citations per year

Countries citing papers authored by Yingshu Li

Since Specialization
Citations

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

Fields of papers citing papers by Yingshu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingshu Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yingshu Li. A scholar is included among the top collaborators of Yingshu 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 Yingshu Li. Yingshu 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
#WorkIndexed citations
1 0
2 0
3 13
4 8
5 1
6 0
7 6
8 8
9 52
10 10
11 144
12 2
13 102
14 1
15 35
16 71
17 32
18 15
19
Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networksbreakdown →
421
20 20

About Yingshu Li

Yingshu Li is a scholar working on Computer Networks and Communications, Computer Science Applications and Transportation, having authored 217 papers that have together received 6.0k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (76 papers), Mobile Ad Hoc Networks (61 papers) and Privacy-Preserving Technologies in Data (32 papers). The work is most often cited by research in Computer Networks and Communications (3.8k citations), Computer Science Applications (632 citations) and Artificial Intelligence (1.4k citations). Yingshu Li has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Zhipeng Cai, Weili Wu, My T. Thai, Mihaela Cardei, Zaobo He, Jiguo Yu, Xin Guan, Mingyuan Yan, Xiaohua Jia and Shouling Ji. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

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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