Deyu Lin

929 citations
40 papers · 662 · h-index 11

Impact in

    • Energy Efficient Wireless Sensor Networks
    • Mobile Ad Hoc Networks
    • IoT and Edge/Fog Computing
    • Security in Wireless Sensor Networks
    • Energy Harvesting in Wireless Networks
    • IoT-based Smart Home Systems
    • Indoor and Outdoor Localization Technologies
    • Advanced MIMO Systems Optimization

Papers in

Deyu Lin

35 papers receiving 631 citations

Peers

Deyu Lin
Comparison fields: 5 of 60
  • Computer Networks and Communications 471
  • Electrical and Electronic Engineering 345
  • Computer Vision and Pattern Recognition 96
  • Water Science and Technology 31
  • Media Technology 18
Replace Jay Warrior with:
Jay Warrior India
Muhammad Hamad Alizai Pakistan
Daowei Bi China
Byungseok Kang South Korea
Nadjib Achir France
Jen‐Jee Chen Taiwan
Stanislava Soro United States
Abhishek Javali India
Mohammed Hawa Jordan
Mário Nunes Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Deyu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Deyu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2 201676
3 201970
4 202057
5 202057
6 201536
7 202327
8 202027
9 202022
10 202222
11 201819
12 202410
13 202410
14 202010
15 202310
16 20208
17 20248
18 20197
19 20237
20 20236

About Deyu Lin

Deyu Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 40 papers that have together received 662 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (16 papers), Energy Harvesting in Wireless Networks (15 papers), Mobile Ad Hoc Networks (6 papers), Indoor and Outdoor Localization Technologies (5 papers), Advanced MIMO Systems Optimization (3 papers), Human Pose and Action Recognition (3 papers), Advanced Image Processing Techniques (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Networks and Communications (471 citations), Electrical and Electronic Engineering (345 citations), Computer Vision and Pattern Recognition (96 citations), Water Science and Technology (31 citations) and Media Technology (18 citations). Deyu Lin has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Quan Wang, Zhiqiang Zhang, Weidong Min, Pengfei Yang, Jianfeng Xu, Yong Liang Guan, Linghe Kong, Qing Han, Ruikang Liu and Linghua Zhou. Their work appears in journals such as IEEE Internet of Things Journal, Ad Hoc Networks, IEEE Sensors Journal, IEEE Access and IEEE Transactions on Mobile Computing.

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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