Longlong Zhu

645 citations
21 papers · 490 indexed · h-index 9
Topics
Electric and Hybrid Vehicle Technologies (12 papers)Advanced Battery Technologies Research (8 papers)Electric Vehicles and Infrastructure (6 papers)
Partner nations
ChinaMacao

In The Last Decade

Longlong Zhu

18 papers receiving 473 citations

Peers

Longlong Zhu
Comparison fields: 5 of 40
  • Automotive Engineering 413
  • Electrical and Electronic Engineering 389
  • Control and Systems Engineering 64
  • Aerospace Engineering 23
  • Electronic, Optical and Magnetic Materials 21
Replace Saman Ahmadi with:
Saman Ahmadi United States
Tongxin Shan China
Xiaoming Xu China
Yangjie Zhou China
Matilde D’Arpino United States
Mohammad Rezwan Khan Denmark
John Reimers Canada
Tarun Huria Italy
Haochen Sun China
Bảo‐Huy Nguyễn Canada
Longlong Zhu relative to Saman Ahmadi United States Saman Ahmadi's profile →
Citations per field
00.5×4.6×
Saman Ahmadi · 1×
Citations per year

Countries citing papers authored by Longlong Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longlong Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Longlong Zhu. A scholar is included among the top collaborators of Longlong Zhu 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 Longlong Zhu. Longlong Zhu 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 1
2 1
3 2
4 2
5 24
6 8
7 0
8 11
9 2
10 26
11 25
12 7
13 0
14 66
15 13
16 114
17 176
18 1
19 7
20 4

About Longlong Zhu

Longlong Zhu is a scholar working on Automotive Engineering, Energy Engineering and Power Technology and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (12 papers), Advanced Battery Technologies Research (8 papers) and Electric Vehicles and Infrastructure (6 papers). The work is most often cited by research in Automotive Engineering (413 citations), Electrical and Electronic Engineering (389 citations) and Control and Systems Engineering (64 citations). Longlong Zhu has collaborated with scholars based in China and Macao. Frequent co-authors include Zhumu Fu, Fazhan Tao, Pengju Si, Haochen Sun, Lifan Sun, Baofeng Ji, Qihong Chen, Yongsheng Dong, Shuzhong Song and Nan Wang. Their work appears in journals such as Journal of Power Sources, International Journal of Hydrogen Energy and IEEE Access.

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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