Xin Peng

2.9k total citations · 1 hit paper
154 papers, 2.0k citations indexed

About

Xin Peng is a scholar working on Control and Systems Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Xin Peng has authored 154 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Control and Systems Engineering, 33 papers in Artificial Intelligence and 32 papers in Mechanical Engineering. Recurrent topics in Xin Peng's work include Fault Detection and Control Systems (60 papers), Advanced Control Systems Optimization (23 papers) and Spectroscopy and Chemometric Analyses (19 papers). Xin Peng is often cited by papers focused on Fault Detection and Control Systems (60 papers), Advanced Control Systems Optimization (23 papers) and Spectroscopy and Chemometric Analyses (19 papers). Xin Peng collaborates with scholars based in China, Germany and Canada. Xin Peng's co-authors include Weimin Zhong, Feng Qian, Wenli Du, Shengchuan Wu, Philip J. Withers, Yang Tang, Guozheng Kang, Linlin Li, Zhengkai Wu and Steven X. Ding and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Cleaner Production.

In The Last Decade

Xin Peng

139 papers receiving 1.9k citations

Hit Papers

Advances in Nanotechnology for Enhancing the Solubility a... 2024 2026 2025 2024 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. Advances in Nanotechnology for Enhancing the Solubility and Bioavailability of Poorly Soluble Drugs
    2024 117 citations Xin Peng et al. profile →

Peers

Xin Peng
Guang Wang China
Yongchao Zhang China
Yuan Xu China
Ningyun Lu China
Ping Li China
Zhimin Du China
Mohamed Faouzi Harkat Algeria
Yuejian Chen China
Xinqiao Jin China
Yuri A.W. Shardt Germany
Guang Wang China
Xin Peng
Citations per year, relative to Xin Peng Xin Peng (= 1×) peers Guang Wang

Countries citing papers authored by Xin Peng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Peng. A scholar is included among the top collaborators of Xin 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 Xin Peng. Xin 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.
Li, Zhi, et al.. (2025). An adjustable robust optimization model under dynamic informer-based framework for industrial renewable energy systems. Process Safety and Environmental Protection. 197. 107062–107062. 1 indexed citations
2.
Peng, Xin, et al.. (2025). A synchronous data-driven hybrid framework for optimizing hydrotreating units and hydrogen networks under uncertainty. Computers & Chemical Engineering. 198. 109050–109050.
3.
Jiang, Chao, Xin Peng, Biao Huang, & Weimin Zhong. (2024). Switching probabilistic slow feature extraction for semisupervised industrial inferential modeling. Journal of Process Control. 141. 103277–103277. 2 indexed citations
4.
Yang, Dan, et al.. (2024). Domain perceptive-pruning and fine-tuning the pre-trained model for heterogeneous transfer learning in cross domain prediction. Expert Systems with Applications. 260. 125215–125215. 8 indexed citations
5.
He, Song, et al.. (2024). ZeoReader: Automated extraction of synthesis steps from zeolite synthesis literature for autonomous experiments. Chemical Engineering Science. 302. 120916–120916.
6.
Jiang, Qingchao, et al.. (2024). OWFD-UCPM: An open-world fault diagnosis scheme based on uncertainty calibration and prototype management. Knowledge-Based Systems. 286. 111403–111403. 2 indexed citations
7.
8.
Lu, Renzhi, Zhenyu Jiang, Tao Yang, et al.. (2024). A Novel Hybrid-Action-Based Deep Reinforcement Learning for Industrial Energy Management. IEEE Transactions on Industrial Informatics. 20(10). 12461–12475. 12 indexed citations
9.
Peng, Xin, et al.. (2023). Failure analysis of oil refinery heater treater’s fractured fire tube. Engineering Failure Analysis. 154. 107672–107672. 2 indexed citations
10.
Du, Peihao, Weimin Zhong, Xin Peng, Linlin Li, & Xiaolong Wu. (2023). Residual-triggered threshold decision and performance self-healing control for wastewater treatment process. Information Sciences. 640. 118822–118822. 1 indexed citations
11.
Peng, Xin, et al.. (2023). Carbon-efficient production planning for long-chain integrated refinery-petrochemical processes: A material-energy-carbon optimization perspective. Journal of Cleaner Production. 426. 138916–138916. 12 indexed citations
12.
Peng, Xin, et al.. (2023). Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 474–487. 8 indexed citations
13.
Su, Yansen, Xin Peng, Hongtian Chen, et al.. (2023). Large-Scale Data-Driven Optimization in Deep Modeling With an Intelligent Decision-Making Mechanism. IEEE Transactions on Cybernetics. 54(5). 2798–2810. 8 indexed citations
14.
Yu, Huijing, Wenli Du, Minglei Yang, et al.. (2023). A Novel Interpretable Ensemble Learning Method for NIR-Based Rapid Characterization of Petroleum Products. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 8 indexed citations
15.
Luo, Lijia, et al.. (2023). Robust and sparse canonical correlation analysis for fault detection and diagnosis using training data with outliers. Expert Systems with Applications. 236. 121434–121434. 12 indexed citations
16.
Kang, Guozheng, et al.. (2023). High-cycle fatigue life prediction of L-PBF AlSi10Mg alloys: a domain knowledge-guided symbolic regression approach. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 382(2264). 20220383–20220383. 13 indexed citations
17.
Zhang, Yu, et al.. (2017). Simulation of the Evaporation Tube Banks in the Convection Section of a Steam Cracking Furnace Using an Evaporation Model. Industrial & Engineering Chemistry Research. 56(38). 10813–10825. 4 indexed citations
18.
19.
Peng, Xin, Yang Tang, Wenli Du, & Feng Qian. (2017). Online Performance Monitoring and Modeling Paradigm Based on Just-in-Time Learning and Extreme Learning Machine for a Non-Gaussian Chemical Process. Industrial & Engineering Chemistry Research. 56(23). 6671–6684. 45 indexed citations
20.
Peng, Xin, Yang Tang, Wangli He, Wenli Du, & Feng Qian. (2017). A Just-in-Time Learning Based Monitoring and Classification Method for Hyper/Hypocalcemia Diagnosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(3). 788–801. 23 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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