Jinglai Wu

3.0k citations
99 papers · 2.4k indexed · h-index 25
Topics
Electric and Hybrid Vehicle Technologies (32 papers)Probabilistic and Robust Engineering Design (32 papers)Vehicle Dynamics and Control Systems (25 papers)

In The Last Decade

Jinglai Wu

89 papers receiving 2.3k citations

Peers

Jinglai Wu
Comparison fields: 5 of 75
  • Automotive Engineering 888
  • Civil and Structural Engineering 856
  • Statistics, Probability and Uncertainty 851
  • Mechanical Engineering 611
  • Electrical and Electronic Engineering 570
Replace Massimiliano Gobbi with:
Massimiliano Gobbi Italy
Hui Yin China
Mohammadkazem Sadoughi United States
Mattias Schevenels Belgium
Z. Gürdal United States
Wen‐Bin Shangguan China
Seungjae Min South Korea
Longchao Cao China
Herbert Martins Gomes Brazil
Joo-Ho Choi South Korea
Jinglai Wu relative to Massimiliano Gobbi Italy Massimiliano Gobbi's profile →
Citations per field
00.5×8.6×
Massimiliano Gobbi · 1×
Citations per year

Countries citing papers authored by Jinglai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jinglai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinglai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinglai Wu. A scholar is included among the top collaborators of Jinglai 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 Jinglai Wu. Jinglai Wu 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
#WorkIndexed citations
1 0
2 5
3 0
4 0
5 0
6 2
7 4
8 0
9 10
10 20
11 18
12 27
13 32
14 59
15 11
16 78
17 71
18 3
19 1
20 245

About Jinglai Wu

Jinglai Wu is a scholar working on Statistics, Probability and Uncertainty, Automotive Engineering and Control and Systems Engineering, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (32 papers), Probabilistic and Robust Engineering Design (32 papers) and Vehicle Dynamics and Control Systems (25 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (851 citations), Automotive Engineering (888 citations) and Civil and Structural Engineering (856 citations). Jinglai Wu has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Nong Zhang, Zhen Luo, Yunqing Zhang, Paul Walker, Liping Chen, Jiageng Ruan, Jiejunyi Liang, Hao Li, Jing Zheng and Haitao Yang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, International Journal of Hydrogen Energy and Energy.

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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