Yingjun Deng

745 total citations · 1 hit paper
23 papers, 519 citations indexed

About

Yingjun Deng is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yingjun Deng has authored 23 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Safety, Risk, Reliability and Quality, 5 papers in Control and Systems Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yingjun Deng's work include Reliability and Maintenance Optimization (10 papers), Machine Fault Diagnosis Techniques (5 papers) and Software Reliability and Analysis Research (4 papers). Yingjun Deng is often cited by papers focused on Reliability and Maintenance Optimization (10 papers), Machine Fault Diagnosis Techniques (5 papers) and Software Reliability and Analysis Research (4 papers). Yingjun Deng collaborates with scholars based in China, France and Netherlands. Yingjun Deng's co-authors include Huaming Wu, Y. B. Zhao, Katinka Wolter, Minxian Xu, Pengfei Jiao, Jun Zhang, A. Di Bucchianico, Mykola Pechenizkiy, Antoine Grall and Anne Barros and has published in prestigious journals such as IEEE Internet of Things Journal, Reliability Engineering & System Safety and Computers and Electronics in Agriculture.

In The Last Decade

Yingjun Deng

19 papers receiving 504 citations

Hit Papers

EEDTO: An Energy-Efficient Dynamic Task Offloading Algori... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing
    2020 209 citations Huaming Wu, Katinka Wolter et al. IEEE Internet of Things Journal profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yingjun Deng China 10 218 122 105 101 94 23 519
Yue Xu China 13 110 0.5× 48 0.4× 68 0.6× 116 1.1× 74 0.8× 32 483
Jorge Rady de Almeida Brazil 12 40 0.2× 69 0.6× 66 0.6× 88 0.9× 58 0.6× 54 449
Luiz Eduardo Galvão Martins Brazil 10 46 0.2× 80 0.7× 147 1.4× 82 0.8× 26 0.3× 54 462
Decheng Zuo China 13 340 1.6× 28 0.2× 178 1.7× 105 1.0× 115 1.2× 80 589
Wenjiang Ji China 11 152 0.7× 32 0.3× 99 0.9× 163 1.6× 60 0.6× 55 472
Christian Buckl Germany 16 317 1.5× 62 0.5× 94 0.9× 184 1.8× 203 2.2× 69 821
Bowen Hu China 10 221 1.0× 20 0.2× 148 1.4× 123 1.2× 93 1.0× 15 530
Hamed Tabkhi United States 13 211 1.0× 37 0.3× 51 0.5× 163 1.6× 151 1.6× 83 681
Yabing Zha China 13 165 0.8× 20 0.2× 113 1.1× 134 1.3× 280 3.0× 62 643

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-authorship network of co-authors of Yingjun Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjun Deng. A scholar is included among the top collaborators of Yingjun Deng 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 Yingjun Deng. Yingjun Deng 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
1.
Wang, Jie, et al.. (2025). Improving significant wave height prediction via temporal data imputation. Dynamics of Atmospheres and Oceans. 110. 101549–101549.
2.
Zhu, Shijie, et al.. (2024). Inner Defect Detection via Physics-Informed Machine Learning. 212–216.
3.
Deng, Yingjun, et al.. (2023). Exploring the Learning Difficulty of Data: Theory and Measure. ACM Transactions on Knowledge Discovery from Data. 18(4). 1–37. 2 indexed citations
4.
Cai, Kaiquan, et al.. (2023). Determining the optimal production–maintenance policy of a parallel production system with stochastically interacted yield and deterioration. Reliability Engineering & System Safety. 237. 109342–109342. 7 indexed citations
5.
Cai, Kaiquan, et al.. (2023). Joint optimization of condition-based maintenance and condition-based production of a single equipment considering random yield and maintenance delay. Reliability Engineering & System Safety. 241. 109694–109694. 16 indexed citations
6.
Yu, Chuang, et al.. (2022). An intelligent measurement scheme for basic characters of fish in smart aquaculture. Computers and Electronics in Agriculture. 204. 107506–107506. 11 indexed citations
7.
Wang, Ran, et al.. (2022). Uncertainty-Controlled Remaining Useful Life Prediction of Bearings with a New Data-Augmentation Strategy. Applied Sciences. 12(21). 11086–11086. 3 indexed citations
8.
Jiang, Chao, et al.. (2022). Remaining Useful Life Prediction via Bayesian Temporal Convolutional Networks. 1–8. 2 indexed citations
9.
Chen, Hongchang, et al.. (2022). Cluster-preserving sampling algorithm for large-scale graphs. Science China Information Sciences. 66(1). 6 indexed citations
10.
Deng, Yingjun, et al.. (2022). Condition-based maintenance for a multi-component system in a dynamic operating environment. Reliability Engineering & System Safety. 231. 108988–108988. 36 indexed citations
11.
Wang, Ran, et al.. (2022). Uncertainty-Controlled Remaining Useful Life Prediction of Bearings with a New Data-Augmentation Strategy. SSRN Electronic Journal. 2 indexed citations
12.
He, Lianghua, et al.. (2022). Cross Guided and Pyramid Aggregation Networks for Real-time Semantic Segmentation. 3307–3312. 1 indexed citations
13.
Wu, Huaming, Katinka Wolter, Pengfei Jiao, et al.. (2020). EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing. IEEE Internet of Things Journal. 8(4). 2163–2176. 209 indexed citations breakdown →
14.
Gan, Lin, et al.. (2020). Rule-Based Composition Grammar Analysis and Applications. 404–407. 1 indexed citations
15.
Wu, Huaming, Xiangyi Li, & Yingjun Deng. (2020). Deep learning-driven wireless communication for edge-cloud computing: opportunities and challenges. Journal of Cloud Computing Advances Systems and Applications. 9(1). 39 indexed citations
16.
17.
Deng, Yingjun, A. Di Bucchianico, & Mykola Pechenizkiy. (2019). Controlling the accuracy and uncertainty trade-off in RUL prediction with a surrogate Wiener propagation model. Reliability Engineering & System Safety. 196. 106727–106727. 44 indexed citations
18.
Wang, Tian, Meina Qiao, Yingjun Deng, et al.. (2017). Abnormal event detection based on analysis of movement information of video sequence. Optik. 152. 50–60. 43 indexed citations
19.
Deng, Yingjun, Anne Barros, & Antoine Grall. (2015). Degradation Modeling Based on a Time-Dependent Ornstein-Uhlenbeck Process and Residual Useful Lifetime Estimation. IEEE Transactions on Reliability. 65(1). 126–140. 36 indexed citations
20.
Deng, Yingjun, Anne Barros, & Antoine Grall. (2014). Calculation of failure level based on inverse first passage problem. SPIRE - Sciences Po Institutional REpository. 1–6. 5 indexed citations

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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