Zepei Yu

445 total citations
8 papers, 390 citations indexed

About

Zepei Yu is a scholar working on Artificial Intelligence, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Zepei Yu has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Mechanical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Zepei Yu's work include Phase Change Materials Research (3 papers), Advanced Battery Materials and Technologies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zepei Yu is often cited by papers focused on Phase Change Materials Research (3 papers), Advanced Battery Materials and Technologies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Zepei Yu collaborates with scholars based in China, Australia and Romania. Zepei Yu's co-authors include Daili Feng, Yanhui Feng, Xinxin Zhang, Pei Li, Hanying Zou, Lin Qiu, Cindy X. Zhao, Luhan Hao, Xianmin Mai and Tingting Wu and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Physical Chemistry Chemical Physics and Industrial & Engineering Chemistry Research.

In The Last Decade

Zepei Yu

8 papers receiving 377 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zepei Yu China	7	234	143	122	71	36	8	390
Lixiang Luo China	12	383 1.6×	201 1.4×	124 1.0×	119 1.7×	53 1.5×	14	521
Tong Xiao China	9	212 0.9×	92 0.6×	55 0.5×	72 1.0×	36 1.0×	13	302
Honghui Liao China	10	197 0.8×	102 0.7×	67 0.5×	45 0.6×	37 1.0×	18	353
Huimin Wei China	13	236 1.0×	176 1.2×	235 1.9×	149 2.1×	74 2.1×	57	638
V. Baiju India	12	241 1.0×	155 1.1×	41 0.3×	68 1.0×	70 1.9×	42	404
G. Puthilibai India	12	132 0.6×	67 0.5×	66 0.5×	63 0.9×	50 1.4×	42	376
Jiapeng Li China	10	234 1.0×	50 0.3×	42 0.3×	65 0.9×	45 1.3×	25	356
Qi Zeng China	11	193 0.8×	144 1.0×	174 1.4×	236 3.3×	36 1.0×	26	528
Shuhao Wang China	7	177 0.8×	129 0.9×	129 1.1×	57 0.8×	75 2.1×	12	358
Qiufeng Wang China	13	149 0.6×	75 0.5×	122 1.0×	63 0.9×	66 1.8×	41	455

Countries citing papers authored by Zepei Yu

Since Specialization

Citations

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

Fields of papers citing papers by Zepei Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zepei Yu

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

All Works

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8 of 8 papers shown

1.

Sun, Haoyun, et al.. (2023). Dynamic Fitting Multi-Task Network for Multi-PAR in Smart City. 1–7. 1 indexed citations

2.

Yu, Zepei, Weishan Zhang, Xiao Wang, et al.. (2022). Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction. IEEE Internet of Things Journal. 10(8). 7356–7365. 12 indexed citations

3.

Liang, Xu, et al.. (2022). The Adaptive Personalized Federated Meta-Learning for Anomaly Detection of Industrial Equipment. IEEE Journal of Radio Frequency Identification. 6. 832–836. 9 indexed citations

4.

Yu, Zepei, Daili Feng, Yanhui Feng, & Xinxin Zhang. (2021). Thermal conductivity and energy storage capacity enhancement and bottleneck of shape-stabilized phase change composites with graphene foam and carbon nanotubes. Composites Part A Applied Science and Manufacturing. 152. 106703–106703. 61 indexed citations

5.

Yu, Zepei, Yanhui Feng, Daili Feng, & Xinxin Zhang. (2020). Thermal properties of three-dimensional hierarchical porous graphene foam-carbon nanotube hybrid structure composites with phase change materials. Microporous and Mesoporous Materials. 312. 110781–110781. 53 indexed citations

6.

Feng, Daili, Yanhui Feng, Lin Qiu, et al.. (2019). Review on nanoporous composite phase change materials: Fabrication, characterization, enhancement and molecular simulation. Renewable and Sustainable Energy Reviews. 109. 578–605. 154 indexed citations

7.

Yu, Zepei, Yanhui Feng, Daili Feng, & Xinxin Zhang. (2019). Thermal conductance bottleneck of a three dimensional graphene–CNT hybrid structure: a molecular dynamics simulation. Physical Chemistry Chemical Physics. 22(1). 337–343. 17 indexed citations

8.

Zhao, Junkai, Shengsong Ge, Lirong Liu, et al.. (2017). Microwave Solvothermal Fabrication of Zirconia Hollow Microspheres with Different Morphologies Using Pollen Templates and Their Dye Adsorption Removal. Industrial & Engineering Chemistry Research. 57(1). 231–241. 83 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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