Jieyang Peng

510 total citations · 1 hit paper
25 papers, 318 citations indexed

About

Jieyang Peng is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Building and Construction. According to data from OpenAlex, Jieyang Peng has authored 25 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 6 papers in Building and Construction. Recurrent topics in Jieyang Peng's work include Energy Load and Power Forecasting (6 papers), Manufacturing Process and Optimization (4 papers) and Traffic Prediction and Management Techniques (4 papers). Jieyang Peng is often cited by papers focused on Energy Load and Power Forecasting (6 papers), Manufacturing Process and Optimization (4 papers) and Traffic Prediction and Management Techniques (4 papers). Jieyang Peng collaborates with scholars based in China, Germany and Denmark. Jieyang Peng's co-authors include Zhibin Niu, Jivka Ovtcharova, Andreas Kimmig, Xiufeng Liu, G. R. Srinivasan, Xiaoming Tao, D. Chidambarrao, Xiang Li, Satoshi Fukumoto and Lyndon J. Brown and has published in prestigious journals such as Journal of The Electrochemical Society, Applied Energy and Energy.

In The Last Decade

Jieyang Peng

22 papers receiving 304 citations

Hit Papers

A systematic review of data-driven approaches to fault di... 2022 2026 2023 2024 2022 25 50 75 100
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. A systematic review of data-driven approaches to fault diagnosis and early warning
    2022 106 citations Jieyang Peng, Andreas Kimmig et al. Journal of Intelligent Manufacturing profile →

Peers

Jieyang Peng
Xiaoqing Cheng China
Zhanwei Wang China
Shahin Siahpour United States
Yuxian Zhang China
Baihong Jin United States
Shixi Ma China
Enso Ikonen Finland
Fuqi Ma China
Xiaoqing Cheng China
Jieyang Peng
Citations per year, relative to Jieyang Peng Jieyang Peng (= 1×) peers Xiaoqing Cheng

Countries citing papers authored by Jieyang Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jieyang Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieyang Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jieyang Peng. A scholar is included among the top collaborators of Jieyang Peng 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 Jieyang Peng. Jieyang Peng 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.
Peng, Jieyang, et al.. (2025). 3D modeling from a single image via a novel dual-decoder framework for Agile design. Computers in Industry. 169. 104303–104303. 1 indexed citations
2.
Jia, Shenli, Xiufeng Liu, Li Zhao, et al.. (2025). Interpretable spatiotemporal urban energy forecasting. Energy. 334. 137503–137503.
3.
Peng, Jieyang, et al.. (2025). A novel contrastive learning framework for multi-parameter optimization in 3D printing. Engineering Applications of Artificial Intelligence. 161. 112209–112209.
4.
Peng, Jieyang, Andreas Kimmig, Zhibin Niu, et al.. (2024). Energy consumption forecasting based on spatio-temporal behavioral analysis for demand-side management. Applied Energy. 374. 124027–124027. 8 indexed citations
5.
Wang, Chaofan, Jieyang Peng, Xiang Li, et al.. (2024). High-precision energy consumption forecasting for large office building using a signal decomposition-based deep learning approach. Energy. 314. 133964–133964. 6 indexed citations
6.
Peng, Jieyang, et al.. (2024). Meta-learning enhanced adaptive robot control strategy for automated PCB assembly. Journal of Manufacturing Systems. 78. 46–57. 6 indexed citations
7.
Peng, Jieyang, et al.. (2024). Boosting urban prediction tasks with domain-sharing knowledge via meta-learning. Information Fusion. 107. 102324–102324. 6 indexed citations
8.
Tao, Xiaoming, et al.. (2024). Data component: An innovative framework for information value metrics in the digital economy. China Communications. 21(5). 17–35.
9.
Peng, Jieyang, Andreas Kimmig, Zhibin Niu, et al.. (2024). Carbon footprint tracing and pattern recognition framework based on visual analytics. Sustainable Production and Consumption. 50. 327–346. 5 indexed citations
10.
Peng, Jieyang, et al.. (2024). Product quality recognition and its industrial application based on lightweight machine learning. Engineering Optimization. 56(12). 2242–2267. 1 indexed citations
11.
Peng, Jieyang, et al.. (2023). Intention recognition-based human–machine interaction for mixed flow assembly. Journal of Manufacturing Systems. 72. 229–244. 17 indexed citations
12.
Peng, Jieyang, et al.. (2023). Dual-Transformer: A General Model for Traffic Accident Prediction. 1–5. 1 indexed citations
13.
Peng, Jieyang, et al.. (2023). Deep-learning-based object classification of tactile robot hand for smart factory. Applied Intelligence. 53(19). 22374–22390. 8 indexed citations
14.
Peng, Jieyang, et al.. (2022). A systematic review of data-driven approaches to fault diagnosis and early warning. Journal of Intelligent Manufacturing. 34(8). 3277–3304. 106 indexed citations breakdown →
15.
Peng, Jieyang, et al.. (2021). Research on Fault Diagnosis Expert System of CNC Machine Tool Based on Expert Knowledge. 1–4. 2 indexed citations
16.
17.
Peng, Jieyang, et al.. (2019). Influences of nanoscale particles and interparticle compression in electrodes on voltage hysteresis of lithium ion batteries. Acta Physica Sinica. 68(9). 90202–90202. 3 indexed citations
18.
Zhou, Y., et al.. (2004). Experimental simulation of surface pitting of degraded electrodes in resistance spot welding of aluminium alloys. Materials Science and Technology. 20(10). 1226–1232. 18 indexed citations
19.
Peng, Jieyang, D. Chidambarrao, & G. R. Srinivasan. (1991). NOVEL: A NONLINEAR VISCOELASTIC MODEL FOR THERMAL OXIDATION OF SILICON. COMPEL The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 10(4). 341–353. 18 indexed citations
20.
Morehead, F. F., et al.. (1991). Fast Simulation of Coupled Defect‐Impurity Diffusion in FINDPRO: Comparison with SUPREM‐ IV and Other Programs. Journal of The Electrochemical Society. 138(12). 3789–3793. 1 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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