Yingshu Li

8.8k citations
217 papers · 6.0k indexed · 2 hit papers · h-index 36

Yingshu Li

208 papers receiving 5.8k citations

Hit Papers

Collective Data-Sanitization for Prevent...4212005202620122019200400600

Peers

Yingshu Li
Comparison fields: 5 of 122
  • Computer Networks and Communications 3.8k
  • Computer Science Applications 632
  • Artificial Intelligence 1.4k
  • Transportation 254
  • Electrical and Electronic Engineering 1.9k
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
00.5×1.5×
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

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202413
4 20248
5 20241
6 20240
7 20246
8 20238
9 202252
10 202010
11 2019144
12 20182
13 2017102
14 20171
15 201735
16 201771
17 201732
18 201615
19
Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networksbreakdown →
2016421
20 200820

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), Privacy-Preserving Technologies in Data (32 papers), Cooperative Communication and Network Coding (25 papers), Energy Harvesting in Wireless Networks (21 papers), Opportunistic and Delay-Tolerant Networks (21 papers), Security in Wireless Sensor Networks (19 papers) and Wireless Networks and Protocols (15 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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