Yu Peng

5.7k total citations · 2 hit papers
197 papers, 4.4k citations indexed

About

Yu Peng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Yu Peng has authored 197 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Control and Systems Engineering, 66 papers in Electrical and Electronic Engineering and 45 papers in Automotive Engineering. Recurrent topics in Yu Peng's work include Fault Detection and Control Systems (46 papers), Advanced Battery Technologies Research (44 papers) and Reliability and Maintenance Optimization (36 papers). Yu Peng is often cited by papers focused on Fault Detection and Control Systems (46 papers), Advanced Battery Technologies Research (44 papers) and Reliability and Maintenance Optimization (36 papers). Yu Peng collaborates with scholars based in China, United States and Canada. Yu Peng's co-authors include Datong Liu, Yuchen Song, Xiyuan Peng, Jianbao Zhou, Liansheng Liu, Michael Pecht, Haitao Liao, Jingyue Pang, Shaojun Wang and Yang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied Physics Letters.

In The Last Decade

Yu Peng

174 papers receiving 4.3k citations

Hit Papers

Prognostics for state of health estimation of lithium-ion... 2013 2026 2017 2021 2013 2017 100 200 300
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. Prognostics for state of health estimation of lithium-ion batteries based on combination Gaussian process functional regression
    2013 380 citations Datong Liu, Jingyue Pang et al. Microelectronics Reliability profile →
  2. Review on cyber-physical systems
    2017 325 citations Yu Peng et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Peng China 31 2.2k 2.1k 1.5k 989 526 197 4.4k
Datong Liu China 34 1.7k 0.8× 2.1k 1.0× 1.9k 1.3× 1.1k 1.1× 829 1.6× 171 4.2k
Hussain Shareef Malaysia 41 5.5k 2.5× 1.2k 0.5× 2.6k 1.8× 326 0.3× 748 1.4× 367 6.8k
Jesús C. Hernández Spain 32 3.7k 1.7× 603 0.3× 2.1k 1.4× 310 0.3× 635 1.2× 157 4.9k
Yi Lu Murphey United States 28 1.1k 0.5× 1.4k 0.6× 745 0.5× 220 0.2× 514 1.0× 152 3.0k
M.A. El-Sharkawi United States 35 4.9k 2.2× 1.2k 0.6× 2.0k 1.4× 542 0.5× 1.3k 2.4× 159 6.4k
Yong Guan China 29 922 0.4× 671 0.3× 1.0k 0.7× 278 0.3× 676 1.3× 211 3.8k
Hao Wang China 33 442 0.2× 1.4k 0.6× 2.2k 1.5× 716 0.7× 150 0.3× 302 3.9k
Mladen Kezunović United States 48 7.6k 3.4× 853 0.4× 5.8k 3.9× 1.2k 1.2× 519 1.0× 386 8.9k
Wenzhong Gao United States 48 6.6k 3.0× 2.1k 1.0× 3.9k 2.6× 314 0.3× 650 1.2× 315 8.4k

Countries citing papers authored by Yu Peng

Since Specialization
Citations

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

Fields of papers citing papers by Yu Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Peng. A scholar is included among the top collaborators of Yu 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 Yu Peng. Yu 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.
Liu, Liansheng, et al.. (2025). An Improved Frequency-Interleaved DAC Model Based on the Frequency Matching and Modeling Optimization Algorithm for AWG Instrumentation. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
2.
Zhang, Yishun, Zeyu Liu, Yingjun Chen, et al.. (2025). Size-segregated emission characteristics and associated toxicity of polycyclic aromatic compounds from agricultural machinery. Journal of Hazardous Materials. 497. 139627–139627.
3.
Song, Yuchen, et al.. (2025). Spacecraft sensor data reliability improvement based on spatio-temporal information fusion model. Microelectronics Reliability. 170. 115774–115774. 1 indexed citations
4.
Sun, Shumin, Fei Xu, Yu Peng, et al.. (2024). A novel PWM plus phase shift modulation strategy for three‐level isolated dual‐active‐bridge DC–DC converters. IET Power Electronics. 17(16). 2796–2807.
5.
6.
7.
Zhang, Xiaohong, Yu Peng, Florentín Smarandache, & Choonkil Park. (2020). Redefined neutrosophic filters in BE-algebras. 43. 158–176. 2 indexed citations
8.
Song, Yuchen, Datong Liu, & Yu Peng. (2019). Series-connected lithium-ion battery pack health modeling with cell inconsistency evaluation. 1–6. 9 indexed citations
9.
Ma, Ning, Yu Peng, & Shaojun Wang. (2018). A Fast Recursive Collaboration Representation Anomaly Detector for Hyperspectral Image. IEEE Geoscience and Remote Sensing Letters. 16(4). 588–592. 27 indexed citations
10.
Song, Yuchen, Lyu Li, Yu Peng, & Datong Liu. (2018). Lithium-Ion Battery Remaining Useful Life Prediction Based on GRU-RNN. 317–322. 48 indexed citations
11.
Ma, Ning, Yu Peng, & Shaojun Wang. (2018). On-line hyperspectral anomaly detection with hypothesis test based model learning. Infrared Physics & Technology. 97. 15–24. 4 indexed citations
12.
13.
Dou, Wanchun, et al.. (2015). Parameters Adaption of Lebesgue Sampling-based Diagnosis and Prognosis for Li-ion Batteries. Annual Conference of the PHM Society. 7(1). 2 indexed citations
14.
Yin, Shan, Jingyue Pang, Datong Liu, & Yu Peng. (2013). Remaining Useful Life Prognostics for Lithium-ion Battery Based on Gaussian Processing Regression Combined with the Empirical Model. Annual Conference of the PHM Society. 5(1). 6 indexed citations
15.
Liu, Datong, Yue Luo, Yu Peng, Xiyuan Peng, & Michael Pecht. (2012). Lithium-ion Battery Remaining Useful Life Estimation Based on Nonlinear AR Model Combined with Degradation Feature. Annual Conference of the PHM Society. 4(1). 41 indexed citations
16.
Peng, Yu, Yong Xu, Liu Datong, & Xiyuan Peng. (2012). Sensor Selection with Grey Correlation Analysis for Remaining Useful Life Evaluation. Annual Conference of the PHM Society. 4(1). 11 indexed citations
17.
Peng, Yu, et al.. (2009). Traffic forecasting for mobile networks with multiplicative seasonal ARIMA models. 3–377. 26 indexed citations
18.
Peng, Xiyuan, et al.. (2006). An effective repair procedure based on quantum-inspired evolutionary algorithm for 0/1 knapsack problems. 203–206. 4 indexed citations
19.
Peng, Yu. (2003). Optimal Allocation of Series-Parallel System Reliability. Journal of Shanghai University (English Edition). 1 indexed citations
20.
Chang, William S. C., C.H. Cox, Xiaolin Lu, et al.. (2002). RF Photonic Technology in Optical Fiber Links. Cambridge University Press eBooks. 121 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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