Zhanpeng Fang

918 total citations · 1 hit paper
29 papers, 672 citations indexed

About

Zhanpeng Fang is a scholar working on Civil and Structural Engineering, Automotive Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Zhanpeng Fang has authored 29 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Civil and Structural Engineering, 10 papers in Automotive Engineering and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Zhanpeng Fang's work include Complex Network Analysis Techniques (7 papers), Composite Structure Analysis and Optimization (7 papers) and Topology Optimization in Engineering (6 papers). Zhanpeng Fang is often cited by papers focused on Complex Network Analysis Techniques (7 papers), Composite Structure Analysis and Optimization (7 papers) and Topology Optimization in Engineering (6 papers). Zhanpeng Fang collaborates with scholars based in China, United States and New Zealand. Zhanpeng Fang's co-authors include Lei Yao, Yanqiu Xiao, Junjian Hou, Zhijun Fu, Jie Tang, Ling Zheng, Guangzhen Cui, John E. Hopcroft, Xiaowen Ding and Tiancheng Lou and has published in prestigious journals such as Scientific Reports, Energy and Sensors.

In The Last Decade

Zhanpeng Fang

27 papers receiving 652 citations

Hit Papers

An Intelligent Fault Diagnosis Method for Lithium Battery... 2020 2026 2022 2024 2020 50 100 150 200
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. An Intelligent Fault Diagnosis Method for Lithium Battery Systems Based on Grid Search Support Vector Machine
    2020 246 citations Lei Yao, Zhanpeng Fang 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
Zhanpeng Fang China 10 269 208 156 114 99 29 672
Adam Thelen United States 11 266 1.0× 254 1.2× 273 1.8× 27 0.2× 63 0.6× 23 843
Xiaoyu Mo China 18 408 1.5× 71 0.3× 143 0.9× 32 0.3× 176 1.8× 41 963
Ali Moradi Amani Australia 15 82 0.3× 428 2.1× 323 2.1× 51 0.4× 105 1.1× 61 764
Mohammad Manthouri Iran 12 150 0.6× 300 1.4× 150 1.0× 37 0.3× 185 1.9× 48 655
Weiping Fu China 13 162 0.6× 50 0.2× 137 0.9× 21 0.2× 57 0.6× 60 626
Longhua Ma China 16 125 0.5× 200 1.0× 152 1.0× 22 0.2× 201 2.0× 68 698
Jie Fan China 14 331 1.2× 285 1.4× 88 0.6× 11 0.1× 34 0.3× 73 728
Shaowei Chen China 15 148 0.6× 218 1.0× 288 1.8× 12 0.1× 285 2.9× 53 959

Countries citing papers authored by Zhanpeng Fang

Since Specialization
Citations

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

Fields of papers citing papers by Zhanpeng Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanpeng Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanpeng Fang. A scholar is included among the top collaborators of Zhanpeng Fang 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 Zhanpeng Fang. Zhanpeng Fang 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.
2.
Fang, Zhanpeng, Huaming An, & Yanqiu Xiao. (2025). Multi-scale optimization design of viscoelastic damping sandwich plate. Journal of Vibroengineering. 27(1). 108–119.
3.
Xiao, Zhongmin, et al.. (2024). Research on multi-objective optimization method of Z-shaped pipeline structure based on Kriging model. Scientific Reports. 14(1). 29573–29573. 1 indexed citations
4.
Xiao, Yanqiu, et al.. (2023). A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis. Journal of Energy Storage. 65. 107347–107347. 72 indexed citations
5.
Cui, Guangzhen, et al.. (2023). E-YOLOv4-tiny: a traffic sign detection algorithm for urban road scenarios. Frontiers in Neurorobotics. 17. 1220443–1220443. 3 indexed citations
6.
Cui, Guangzhen, et al.. (2023). Trajectory Tracking Control of Intelligent Vehicles. Journal of Electrical Engineering and Technology. 19(1). 665–679.
7.
Fang, Zhanpeng, et al.. (2022). Concurrent Topology Optimization for Maximizing the Modal Loss Factor of Plates with Constrained Layer Damping Treatment. Materials. 15(10). 3512–3512. 3 indexed citations
8.
Hou, Junjian, et al.. (2022). Dynamic Characteristics of the Helical Planetary Transmission System considering the Installation Error of Shaft. Shock and Vibration. 2022. 1–10. 1 indexed citations
9.
Xiao, Yanqiu, et al.. (2022). A Near-Field Area Object Detection Method for Intelligent Vehicles Based on Multi-Sensor Information Fusion. World Electric Vehicle Journal. 13(9). 160–160. 5 indexed citations
10.
Cui, Guangzhen, et al.. (2020). Deep learning for occluded and multi‐scale pedestrian detection: A review. IET Image Processing. 15(2). 286–301. 32 indexed citations
11.
Fang, Zhanpeng, et al.. (2018). Topology Optimization of Constrained Layer Damping Structures Subjected to Stationary Random Excitation. Shock and Vibration. 2018(1). 7 indexed citations
12.
Zhang, Chenhui, et al.. (2016). Learning triadic influence in large social networks. 1380–1381. 1 indexed citations
13.
Fang, Zhanpeng & Jie Tang. (2015). Uncovering the formation of triadic closure in social networks. International Conference on Artificial Intelligence. 2062–2068. 7 indexed citations
14.
Fang, Zhanpeng & Ling Zheng. (2015). Topology optimization for minimizing frequency response of constrained layer damping plates. Journal of Vibroengineering. 17(6). 2763–2780. 1 indexed citations
15.
Zheng, Ling, et al.. (2015). The Design Optimization of Vehicle Interior Noise through Structural Modification and Constrained Layer Damping Treatment. SAE technical papers on CD-ROM/SAE technical paper series. 1. 5 indexed citations
16.
Tang, Jie, Zhanpeng Fang, & Jimeng Sun. (2015). Incorporating Social Context and Domain Knowledge for Entity Recognition. 517–526. 6 indexed citations
17.
Zhang, Jing, Zhanpeng Fang, Wei Chen, & Jie Tang. (2015). Diffusion of “Following” Links in Microblogging Networks. IEEE Transactions on Knowledge and Data Engineering. 27(8). 2093–2106. 35 indexed citations
18.
Fang, Zhanpeng & Ling Zheng. (2015). Topology Optimization for Minimizing the Resonant Response of Plates with Constrained Layer Damping Treatment. Shock and Vibration. 2015. 1–11. 35 indexed citations
19.
Lou, Tiancheng, Jie Tang, John E. Hopcroft, Zhanpeng Fang, & Xiaowen Ding. (2013). Learning to predict reciprocity and triadic closure in social networks. ACM Transactions on Knowledge Discovery from Data. 7(2). 1–25. 80 indexed citations
20.
Wu, Sen, Zhanpeng Fang, & Jie Tang. (2012). Accurate Product Name Recognition from User Generated Content. 874–877. 9 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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