Kaijiang Yu

443 total citations
19 papers, 357 citations indexed

About

Kaijiang Yu is a scholar working on Automotive Engineering, Electrical and Electronic Engineering and Control and Systems Engineering. According to data from OpenAlex, Kaijiang Yu has authored 19 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Automotive Engineering, 11 papers in Electrical and Electronic Engineering and 6 papers in Control and Systems Engineering. Recurrent topics in Kaijiang Yu's work include Electric and Hybrid Vehicle Technologies (13 papers), Electric Vehicles and Infrastructure (11 papers) and Advanced Battery Technologies Research (10 papers). Kaijiang Yu is often cited by papers focused on Electric and Hybrid Vehicle Technologies (13 papers), Electric Vehicles and Infrastructure (11 papers) and Advanced Battery Technologies Research (10 papers). Kaijiang Yu collaborates with scholars based in China and Japan. Kaijiang Yu's co-authors include Junqi Yang, Taketoshi Kawabe, Daisuke Yamaguchi, Masakazu Mukai, Xingguo Tan, Xuhui Bu, Ziyi Fu, Hongwei Zhang, Xiao Tan and Fanglai Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Intelligent Transportation Systems and Journal of the Franklin Institute.

In The Last Decade

Kaijiang Yu

19 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kaijiang Yu China 12 252 155 153 37 28 19 357
Amir Taghavipour Iran 10 248 1.0× 169 1.1× 92 0.6× 28 0.8× 8 0.3× 32 309
Ningkang Yang China 11 338 1.3× 304 2.0× 76 0.5× 18 0.5× 6 0.2× 27 413
Wissam Dib France 10 270 1.1× 288 1.9× 195 1.3× 11 0.3× 49 1.8× 19 421
Mahyar Vajedi Canada 12 368 1.5× 230 1.5× 152 1.0× 26 0.7× 36 1.3× 18 423
K.E. Bailey United States 7 470 1.9× 262 1.7× 122 0.8× 55 1.5× 5 0.2× 12 508
C. Barbu United States 7 97 0.4× 95 0.6× 178 1.2× 11 0.3× 9 321
Quanshi Chen China 10 533 2.1× 482 3.1× 162 1.1× 10 0.3× 1 0.0× 42 626
Syed Qaseem Ali Canada 12 128 0.5× 312 2.0× 229 1.5× 5 0.1× 31 373
S. M. Reza Tousi Iran 9 152 0.6× 299 1.9× 183 1.2× 3 0.1× 15 432
Jisoo Kim South Korea 9 36 0.1× 189 1.2× 146 1.0× 7 0.2× 1 0.0× 29 264

Countries citing papers authored by Kaijiang Yu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

19 of 19 papers shown
1.
Liu, Wei, Kaijiang Yu, Xingguo Tan, & Xuhui Bu. (2017). State estimation for networked systems with Markovian communication constraints and multiple packet dropouts. Journal of the Franklin Institute. 355(2). 878–901. 6 indexed citations
2.
Liu, Wei, Hongwei Zhang, Kaijiang Yu, & Xingguo Tan. (2016). Optimal linear filtering for networked systems with communication constraints, fading measurements, and multiplicative noises. International Journal of Adaptive Control and Signal Processing. 31(7). 1019–1039. 11 indexed citations
3.
Yu, Kaijiang, et al.. (2016). Model Predictive Control for Hybrid Electric Vehicle Platooning Using Slope Information. IEEE Transactions on Intelligent Transportation Systems. 17(7). 1894–1909. 73 indexed citations
4.
Yu, Kaijiang, et al.. (2016). Model Predictive Control of Hybrid Electric Vehicles for Improved Fuel Economy. Asian Journal of Control. 18(6). 2122–2135. 15 indexed citations
5.
Yu, Kaijiang, et al.. (2015). Predictive control strategies for energy saving of hybrid electric vehicles based on traffic light information. SHILAP Revista de lepidopterología. 2 indexed citations
6.
Yu, Kaijiang, Hengquan Yang, Tohru Kawabe, & Xiao Tan. (2015). Model predictive control of a power-split hybrid electric vehicle system with slope preview. Artificial Life and Robotics. 20(4). 305–314. 9 indexed citations
7.
Yu, Kaijiang, et al.. (2015). Performance of an Eco‐Driving Model Predictive Control System for HEVs during Car Following. Asian Journal of Control. 18(1). 16–28. 16 indexed citations
8.
Yu, Kaijiang, et al.. (2015). Model Predictive Control for Connected Hybrid Electric Vehicles. Mathematical Problems in Engineering. 2015. 1–15. 19 indexed citations
9.
Yu, Kaijiang, Junqi Yang, & Daisuke Yamaguchi. (2015). Model predictive control for hybrid vehicle ecological driving using traffic signal and road slope information. Control Theory and Technology. 13(1). 17–28. 56 indexed citations
10.
Yu, Kaijiang, et al.. (2015). Model predictive control for hybrid electric vehicle platooning using route information. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 230(9). 1273–1285. 23 indexed citations
11.
Yang, Junqi, et al.. (2015). Synchronous switching observer for nonlinear switched systems with minimum dwell time constraint. Journal of the Franklin Institute. 352(11). 4665–4681. 26 indexed citations
12.
Yu, Kaijiang, Masakazu Mukai, & Taketoshi Kawabe. (2014). Battery Management Using Model Predictive Control for a Plug-In Hybrid Electric Vehicle. SICE Journal of Control Measurement and System Integration. 7(5). 304–312. 3 indexed citations
13.
Yang, Junqi, et al.. (2014). State and unknown information estimation for non-linear systems with both input uncertainty and output disturbance. IMA Journal of Mathematical Control and Information. 33(2). 427–439. 4 indexed citations
14.
Yang, Junqi, Fanglai Zhu, Kaijiang Yu, & Xuhui Bu. (2014). Observer-based state estimation and unknown input reconstruction for nonlinear complex dynamical systems. Communications in Nonlinear Science and Numerical Simulation. 20(3). 927–939. 21 indexed citations
15.
Yu, Kaijiang, Masakazu Mukai, & Taketoshi Kawabe. (2014). Performance of an Eco-Driving Nonlinear MPC System for a Power-Split HEV during Car Following. SICE Journal of Control Measurement and System Integration. 7(1). 55–62. 8 indexed citations
16.
Yu, Kaijiang & Junqi Yang. (2014). Performance of a Nonlinear Real-Time Optimal Control System for HEVs/PHEVs during Car Following. Journal of Applied Mathematics. 2014. 1–14. 18 indexed citations
17.
Yu, Kaijiang, Masakazu Mukai, & Taketoshi Kawabe. (2013). A Battery Management System using Nonlinear Model Predictive Control for a Hybrid Electric Vehicle. IFAC Proceedings Volumes. 46(21). 301–306. 21 indexed citations
18.
Yu, Kaijiang, Masakazu Mukai, & Taketoshi Kawabe. (2012). Model predictive control of a power-split hybrid electric vehicle system. Artificial Life and Robotics. 17(2). 221–226. 15 indexed citations
19.
Banaszuk, Andrzej, Sébastien Candel, F. E. C. Culick, et al.. (2002). Active Control of Engine Dynamics. 402. 11 indexed citations

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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