Xiaolong Wu

1.1k total citations
73 papers, 830 citations indexed

About

Xiaolong Wu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Control and Systems Engineering. According to data from OpenAlex, Xiaolong Wu has authored 73 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Electrical and Electronic Engineering, 39 papers in Materials Chemistry and 22 papers in Control and Systems Engineering. Recurrent topics in Xiaolong Wu's work include Advancements in Solid Oxide Fuel Cells (33 papers), Fuel Cells and Related Materials (32 papers) and Fault Detection and Control Systems (16 papers). Xiaolong Wu is often cited by papers focused on Advancements in Solid Oxide Fuel Cells (33 papers), Fuel Cells and Related Materials (32 papers) and Fault Detection and Control Systems (16 papers). Xiaolong Wu collaborates with scholars based in China, United States and Poland. Xiaolong Wu's co-authors include Yuanwu Xu, Xi Li, Jingxuan Peng, Dongqi Zhao, Xiaowei Fu, Jian Huang, Jianhua Jiang, Haochun Chen, Zhonghua Deng and Chang Jiang and has published in prestigious journals such as Journal of Power Sources, Journal of Hazardous Materials and Applied Energy.

In The Last Decade

Xiaolong Wu

65 papers receiving 806 citations

Peers

Xiaolong Wu

EEE

CSE

RESE

Valentina Zaccaria Sweden

Jianhua Jiang China

Zhonghua Deng China

Nana Zhou China

Jun Shu China

Gregor Dolanč Slovenia

Haibo Huo China

Fabian Müller United States

K. Uma Rao India

Brigitte Grondin-Pérez Réunion

Valentina Zaccaria Sweden

Xiaolong Wu

283 ×0.6

260 ×0.6

EEE

174 ×1.1

CSE

103 ×0.9

62 ×0.6

RESE

Citations per year, relative to Xiaolong Wu Xiaolong Wu (= 1×) peers Valentina Zaccaria

Countries citing papers authored by Xiaolong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaolong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Wu. A scholar is included among the top collaborators of Xiaolong Wu 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 Xiaolong Wu. Xiaolong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Xu, Yuanwu, Jie Yin, Jingjing Wang, et al.. (2025). Thermal constraint control of reversible solid oxide cell for optimal system efficiency. International Journal of Hydrogen Energy. 134. 198–211. 2 indexed citations

Chen, Ke, et al.. (2024). Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods. Atmosphere. 15(11). 1344–1344. 2 indexed citations

Wu, Xiaolong, Yu‐Xiao Yang, Yuanwu Xu, et al.. (2024). Performance prediction of gasification-integrated solid oxide fuel cell and gas turbine cogeneration system based on PSO-BP neural network. Renewable Energy. 237. 121711–121711. 6 indexed citations

Wu, Xiaolong, Juan Mei, Yuanwu Xu, et al.. (2024). Stack performance classification and fault diagnosis optimization of solid oxide fuel cell system based on bayesian artificial neural network and feature selection. Journal of Power Sources. 620. 235198–235198. 7 indexed citations

Wu, Xiaolong, Yu Li, Yuanwu Xu, et al.. (2024). Data-driven approaches for predicting performance degradation of solid oxide fuel cells system considering prolonged operation and shutdown accumulation effect. Journal of Power Sources. 598. 234186–234186. 8 indexed citations

Peng, Jingxuan, Jian Huang, Yuanzheng Li, et al.. (2023). Multistate Reliability Analysis of Solid Oxide Fuel Cells Using Automatic Spectral Clustering and Neighborhood Rough Sets. IEEE Transactions on Transportation Electrification. 10(1). 95–109. 1 indexed citations

Xu, Yuanwu, Chang Jiang, Jingxuan Peng, et al.. (2023). Fault Prognosis Method for Solid Oxide Fuel Cells Based on Mechanism Degradation Process Model and Particle Filtering. IEEE Transactions on Power Electronics. 38(6). 6831–6840. 15 indexed citations

Peng, Jingxuan, Jian Huang, Yuanzheng Li, et al.. (2023). Control-Oriented Extraction and Prediction of Key Performance Features Affecting Performance Variability of Solid Oxide Fuel Cell System. IEEE Transactions on Transportation Electrification. 10(1). 1771–1787. 7 indexed citations

Wu, Xiaolong, et al.. (2023). A Novel Adaptive Neural Network-Based Thermoelectric Parameter Prediction Method for Enhancing Solid Oxide Fuel Cell System Efficiency. Sustainability. 15(19). 14402–14402. 4 indexed citations

10.

Wang, Jie, et al.. (2023). FedINS2: A Federated-Edge-Learning-Based Inertial Navigation System With Segment Fusion. IEEE Internet of Things Journal. 11(2). 3653–3661. 9 indexed citations

11.

Wu, Xiaolong, Yuanwu Xu, Jingxuan Peng, et al.. (2023). Novel Hybrid Modeling and Analysis Method for Steam Reforming Solid Oxide Fuel Cell System Multifault Degradation Fusion Assessment. ACS Omega. 8(40). 36876–36892. 4 indexed citations

12.

Peng, Jingxuan, et al.. (2023). Comprehensive Analysis of Solid Oxide Fuel Cell Performance Degradation Mechanism, Prediction, and Optimization Studies. Energies. 16(2). 788–788. 34 indexed citations

13.

Ma, Wenjun, et al.. (2023). Modeling of Nonlinear SOEC Parameter System Based on Data-Driven Method. Atmosphere. 14(9). 1432–1432. 4 indexed citations

14.

Xia, Zhiping, Zhonghua Deng, Chang Jiang, et al.. (2022). Modeling and analysis of cross-flow solid oxide electrolysis cell with oxygen electrode/electrolyte interface oxygen pressure characteristics for hydrogen production. Journal of Power Sources. 529. 231248–231248. 32 indexed citations

15.

Peng, Jingxuan, Jian Huang, Chang Jiang, et al.. (2022). Generalized Spatial–Temporal Fault Location Method for Solid Oxide Fuel Cells Using LSTM and Causal Inference. IEEE Transactions on Transportation Electrification. 8(4). 4583–4594. 20 indexed citations

16.

Zheng, Yi, Xiaolong Wu, Dongqi Zhao, et al.. (2021). Data-driven fault diagnosis method for the safe and stable operation of solid oxide fuel cells system. Journal of Power Sources. 490. 229561–229561. 41 indexed citations

17.

Chen, Qi, et al.. (2021). Study on gelation, temperature resistance and micromorphology of modified nano-ZrO2 crosslinked hydroxypropyl guar gum. Journal of Petroleum Exploration and Production Technology. 12(2). 451–459. 2 indexed citations

18.

Peng, Jingxuan, Jian Huang, Xiaolong Wu, et al.. (2021). Solid oxide fuel cell (SOFC) performance evaluation, fault diagnosis and health control: A review. Journal of Power Sources. 505. 230058–230058. 184 indexed citations

19.

Wu, Xiaolong, Yuanwu Xu, Tao Xue, et al.. (2018). Control‐oriented fault detection of solid oxide fuel cell system unknown input on fuel supply. Asian Journal of Control. 21(4). 1824–1835. 11 indexed citations

20.

Wu, Xiaolong, Shahram Latifi, & Yingtao Jiang. (2007). Markov Reliability Modeling of Star Networks.. Parallel and Distributed Processing Techniques and Applications. 137–143. 2 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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