Yingjun Deng

20 papers receiving 530 citations

Yingjun Deng's Hit Papers

EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing 2020 · 213 citations
2130+2+4Years since publication50100150200

Peers

Yingjun Deng
Comparison fields: 5 of 73
  • Safety, Risk, Reliability and Quality 129
  • Software 37
  • Computer Networks and Communications 219
  • Statistics, Probability and Uncertainty 52
  • Medical Laboratory Technology 7
Replace Yue Xu with:
Yue Xu China
H.A. Thompson United Kingdom
W. M. Eden Hong Kong
Shuaiwen Tang China
Luiz Eduardo Galvão Martins Brazil
Emília Villani Brazil
Tan Kim Geok Malaysia
Gang Huang China
Patrice Aknin France
Yingjun Deng relative to Yue Xu China Yue Xu's profile →
Citations per field
00.5×2.7×
Yue Xu · 1×
Citations per year

Countries citing papers authored by Yingjun Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yingjun Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing
Hit paper breakdown →
2020213
2 201944
3 201743
4 202041
5 201539
6 202238
7 202135
8 202322
9 202320
10 202212
11 202310
12 20226
13 20145
14 20224
15 20234
16 20222
17 20222
18 20251
19 20201
20 20221

About Yingjun Deng

Yingjun Deng is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 24 papers that have together received 543 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (10 papers), Machine Fault Diagnosis Techniques (5 papers), Software Reliability and Analysis Research (4 papers), Statistical Distribution Estimation and Applications (3 papers), Human Pose and Action Recognition (2 papers), Advanced Neural Network Applications (2 papers), Quality and Safety in Healthcare (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (129 citations), Software (37 citations), Computer Networks and Communications (219 citations), Statistics, Probability and Uncertainty (52 citations) and Medical Laboratory Technology (7 citations). Yingjun Deng has collaborated with scholars based in China, France and Netherlands. Frequent co-authors include Huaming Wu, Katinka Wolter, Y. B. Zhao, Minxian Xu, Pengfei Jiao, Jun Zhang, Antoine Grall, A. Di Bucchianico, Anne Barros and Mykola Pechenizkiy. Their work appears in journals such as Reliability Engineering & System Safety, ACM Transactions on Knowledge Discovery from Data, Science China Information Sciences, Applied Sciences and Computers & Industrial Engineering.

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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