Kun Jin

493 citations
29 papers · 361 · h-index 11

Impact in

Papers in

    • Transportation Planning and Optimization 11
    • Human Mobility and Location-Based Analysis 6
    • Urban Transport and Accessibility 3
    • Transportation and Mobility Innovations 5
    • Advanced Battery Technologies Research 3

Kun Jin

25 papers receiving 347 citations

Peers

Kun Jin
Comparison fields: 5 of 56
  • Transportation 80
  • Building and Construction 70
  • Automotive Engineering 55
  • Aerospace Engineering 73
  • Electrical and Electronic Engineering 152
Replace Michael Schmidt with:
Michael Schmidt Germany
Yidan Sun China
Abdel‐Hamid Soliman United Kingdom
Pedro Vieira Portugal
Kei Hiroi Japan
Seungjae Baek South Korea
Ji-Ho Cho South Korea
David Sidoti United States
Amin Rajabi Australia
Kun Jin relative to Michael Schmidt Germany Michael Schmidt's profile →
Citations per field
00.5×2.7×
Michael Schmidt · 1×
Citations per year

Countries citing papers authored by Kun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Jin Line = papers co-authored together Kun Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200682
2 200744
3 202343
4 202237
5 202131
6 202222
7 202318
8 202214
9 202412
10 202210
11 202210
12 20206
13 20215
14 20215
15 20224
16 20204
17 20243
18 20253
19 20232
20 20241

About Kun Jin

Kun Jin is a scholar working on Transportation, Automotive Engineering, Building and Construction, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 29 papers that have together received 361 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (11 papers), Traffic Prediction and Management Techniques (7 papers), Electric Vehicles and Infrastructure (6 papers), Human Mobility and Location-Based Analysis (6 papers), Transportation and Mobility Innovations (5 papers), Advanced Battery Technologies Research (3 papers), Urban Transport and Accessibility (3 papers) and Electromagnetic Scattering and Analysis (2 papers). The work is most often cited by research in Transportation (80 citations), Building and Construction (70 citations), Automotive Engineering (55 citations), Aerospace Engineering (73 citations) and Electrical and Electronic Engineering (152 citations). Kun Jin has collaborated with scholars based in China, Bangladesh and Singapore. Frequent co-authors include Hongtao Li, Shaolong Sun, Xuedong Hua, Fengting Zhang, Shouyang Wang, Yongwu Li, Wei Wang, Wei Wang, Wei Wang and Xinran Li. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Intelligent Transportation Systems, Journal of Electromagnetic Waves and Applications, Engineering Applications of Artificial Intelligence and Atmospheric Environment.

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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