Yu Jin

618 total citations
34 papers, 487 citations indexed

About

Yu Jin is a scholar working on Mechanical Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu Jin has authored 34 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Mechanical Engineering, 7 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu Jin's work include Combustion and flame dynamics (3 papers), Electric Vehicles and Infrastructure (2 papers) and Thermal Radiation and Cooling Technologies (2 papers). Yu Jin is often cited by papers focused on Combustion and flame dynamics (3 papers), Electric Vehicles and Infrastructure (2 papers) and Thermal Radiation and Cooling Technologies (2 papers). Yu Jin collaborates with scholars based in China, United States and Singapore. Yu Jin's co-authors include E Jiaqiang, Wei Zuo, Dandan Han, Wenyu Hu, Bin Zhang, Zhonghua Huang, Kexiang Wei, Hao Zhu, Yuanwang Deng and Jingwei Chen and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and Applied Energy.

In The Last Decade

Yu Jin

30 papers receiving 476 citations

Peers

Yu Jin
Comparison fields: 5 of 82
  • Computational Mechanics 178
  • Fluid Flow and Transfer Processes 128
  • Electrical and Electronic Engineering 118
  • Aerospace Engineering 97
  • Mechanical Engineering 85
Replace Gaetano Continillo with:
Gaetano Continillo Italy
Sung-Ha Baek South Korea
Francesco Mariani Italy
Enzhe Song China
Yuntian Zhang China
N. Aretakis Greece
Ioannis Roumeliotis United Kingdom
Andreas Wimmer Austria
André Marshall United States
Sergio Bova Italy
Gaetano Continillo Italy View profile →
Citations per field, relative to Yu Jin
Yu Jin · 1×
Citations per year, relative to Yu Jin
Yu Jin · 1×

Countries citing papers authored by Yu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Jin. A scholar is included among the top collaborators of Yu Jin 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 Yu Jin. Yu Jin 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
# Work Indexed citations
1 2
2 0
3 0
4 1
5 1
6 1
7 3
8 18
9 0
10 1
11 1
12 11
13 28
14 16
15
The Asymmetric Impacts of Good and Bad News on Opinion Divergence: Evidence from Revisions to the S&P 500 Index
2
16 5
17
Wavelet-Based Fuzzy System Modeling Using mGA
2
18 4
19
Danxia Landform Genesis and Scenic Feature on Guanzai Mountain, Fujian Province
5
20 9

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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