Kaijiang Yu
- Automotive Engineering top 5%
- Electrical and Electronic Engineering
- Control and Systems Engineering top 10%
- Fluid Flow and Transfer Processes top 10%
- Transportation top 10%
- Co-authors
- Junqi YangTaketoshi KawabeDaisuke YamaguchiMasakazu MukaiXingguo TanXuhui BuZiyi FuHongwei Zhang
- Topics
- Electric and Hybrid Vehicle Technologies (13 papers)Electric Vehicles and Infrastructure (11 papers)Advanced Battery Technologies Research (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Intelligent Transportation SystemsJournal of the Franklin Institute
In The Last Decade
Kaijiang Yu
19 papers receiving 346 citations
Peers
Comparison fields: 5 of 37
- Automotive Engineering 252
- Electrical and Electronic Engineering 155
- Control and Systems Engineering 153
- Fluid Flow and Transfer Processes 37
- Transportation 28
Countries citing papers authored by Kaijiang Yu
This map shows the geographic impact of Kaijiang Yu'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 Kaijiang Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaijiang Yu more than expected).
Fields of papers citing papers by Kaijiang Yu
This network shows the impact of papers produced by Kaijiang Yu. 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 Kaijiang Yu. The network helps show where Kaijiang Yu may publish in the future.
Co-authorship network of co-authors of Kaijiang Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Kaijiang Yu. A scholar is included among the top collaborators of Kaijiang Yu 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 Kaijiang Yu. Kaijiang Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 11 | |
| 3 | 73 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 16 | |
| 8 | 19 | |
| 9 | 56 | |
| 10 | 23 | |
| 11 | 26 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | 18 | |
| 17 | 21 | |
| 18 | 15 | |
| 19 | Active Control of Engine Dynamics | 11 |
About Kaijiang Yu
Kaijiang Yu is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Control and Systems Engineering, having authored 19 papers that have together received 357 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (13 papers), Electric Vehicles and Infrastructure (11 papers) and Advanced Battery Technologies Research (10 papers). The work is most often cited by research in Automotive Engineering (252 citations), Control and Systems Engineering (153 citations) and Fluid Flow and Transfer Processes (37 citations). Kaijiang Yu has collaborated with scholars based in China and Japan. Frequent co-authors include Junqi Yang, Taketoshi Kawabe, Daisuke Yamaguchi, Masakazu Mukai, Xingguo Tan, Xuhui Bu, Ziyi Fu, Hongwei Zhang, Xiao Tan and Fanglai Zhu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Journal of the Franklin Institute.
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.