Jinlong Liu

975 citations
42 papers · 767 indexed · 1 hit paper · h-index 15
Topics
Innovative Energy Harvesting Technologies (9 papers)Advanced Sensor and Energy Harvesting Materials (7 papers)Energy Harvesting in Wireless Networks (5 papers)
Partner nations
ChinaFranceRussia

In The Last Decade

Jinlong Liu

39 papers receiving 744 citations

Hit Papers

Transfer learning framework for the wind pressure predict...2025202620255101520

Peers

Jinlong Liu
Comparison fields: 5 of 68
  • Mechanical Engineering 469
  • Electrical and Electronic Engineering 171
  • Automotive Engineering 104
  • Computational Mechanics 94
  • Mechanics of Materials 86
Replace Wenping Zhang with:
Wenping Zhang China
Seongmin Son South Korea
Nikola Stošić United Kingdom
Martin Désilets Canada
Moh’d Sami Ashhab Jordan
Julián D. Osorio United States
Yadong Deng China
A. D. Mohammed Samee India
Changlu Zhao China
Chuqi Su China
Jinlong Liu relative to Wenping Zhang China Wenping Zhang's profile →
Citations per field
00.5×1.6×
Wenping Zhang · 1×
Citations per year

Countries citing papers authored by Jinlong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinlong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinlong Liu. A scholar is included among the top collaborators of Jinlong Liu 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 Jinlong Liu. Jinlong Liu 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 0
3
Transfer learning framework for the wind pressure prediction of high-rise building surfaces using wind tunnel experiments and machine learningbreakdown →
24
4 0
5 1
6 5
7 14
8 1
9 1
10 8
11 15
12 1
13 1
14 2
15 34
16 113
17 128
18 51
19 24
20
Design of Teeth Profile Modification on No Tie Bar Xycloidal Pair
1

About Jinlong Liu

Jinlong Liu is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering, having authored 42 papers that have together received 767 indexed citations. Recurring topics across this work include Innovative Energy Harvesting Technologies (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Energy Harvesting in Wireless Networks (5 papers). The work is most often cited by research in Mechanical Engineering (469 citations), Fluid Flow and Transfer Processes (54 citations) and Energy Engineering and Power Technology (27 citations). Jinlong Liu has collaborated with scholars based in China, France and Russia. Frequent co-authors include Jianhua Wang, Haifeng Wang, Bin Bao, Jiatong Chen, Jingke Wang, Duoqi Shi, Xiaoguang Yang, Yu‐Fei Wu, Li Ma and Feng Chi. Their work appears in journals such as Journal of Applied Physics, Nano Energy and International Journal of Heat and Mass Transfer.

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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