Jinrui Nan

661 total citations · 1 hit paper
35 papers, 360 citations indexed

About

Jinrui Nan is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Jinrui Nan has authored 35 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Automotive Engineering, 21 papers in Control and Systems Engineering and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Jinrui Nan's work include Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (8 papers) and Real-time simulation and control systems (7 papers). Jinrui Nan is often cited by papers focused on Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (8 papers) and Real-time simulation and control systems (7 papers). Jinrui Nan collaborates with scholars based in China, United States and United Kingdom. Jinrui Nan's co-authors include Wanke Cao, Bo Deng, Andrew Burke, Jingyuan Zhao, Yubo Lian, Fengchun Sun, Wenyi Zhao, Wenwei Wang, Feng Zhang and Zhenghong Wang and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jinrui Nan

32 papers receiving 338 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Autonomous driving system: A comprehensive survey

2023 113 citations Jingyuan Zhao, Wenyi Zhao et al. Expert Systems with Applications profile →

Peers

Jinrui Nan

AE

EEE

CSE

CVPR

CNC

Morteza Mollajafari Iran

Viktor Tihanyi Hungary

Vipin Kumar Kukkala United States

Chuanyang Sun China

Sisil Kumarawadu Sri Lanka

Chaoxian Wu China

Yukun Fang China

Qingzhang Chen China

Jingyan Song China

Damoon Soudbakhsh United States

Morteza Mollajafari Iran

Jinrui Nan

88 ×0.5

AE

121 ×0.9

EEE

92 ×1.1

CSE

31 ×0.5

CVPR

53 ×1.1

CNC

Citations per year, relative to Jinrui Nan Jinrui Nan (= 1×) peers Morteza Mollajafari

Countries citing papers authored by Jinrui Nan

Since Specialization

Citations

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

Fields of papers citing papers by Jinrui Nan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinrui Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinrui Nan. A scholar is included among the top collaborators of Jinrui Nan 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 Jinrui Nan. Jinrui Nan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zhao, Jingyuan, et al.. (2025). Real-time prediction of battery remaining useful life using hybrid-fusion deep neural networks. Energy. 328. 136618–136618. 7 indexed citations

2.

Zhao, Jingyuan, et al.. (2025). Battery state of health estimation under fast charging via deep transfer learning. iScience. 28(5). 112235–112235. 9 indexed citations

3.

Wang, Wenwei, et al.. (2024). DSMPC-DCBF: A Hierarchical Parking Trajectory Optimization Method Based on MPC. 1001. 55–62. 1 indexed citations

4.

Nan, Jinrui, et al.. (2024). Model predictive control for autonomous vehicle path tracking through optimized kinematics. Results in Engineering. 24. 103123–103123. 8 indexed citations

5.

Wang, Wenwei, et al.. (2024). Review of Electrical and Electronic Architectures for Autonomous Vehicles: Topologies, Networking and Simulators. Automotive Innovation. 7(1). 82–101. 21 indexed citations

6.

Li, Di, Jinrui Nan, Andrew Burke, & Jingyuan Zhao. (2024). Battery Prognostics and Health Management: AI and Big Data. World Electric Vehicle Journal. 16(1). 10–10. 5 indexed citations

7.

Cao, Wanke, et al.. (2023). Combined LKA and DYC Control for Electric Vehicle With a Domain-Centralized E/E Architecture Based on Software-Defined Networking. IEEE Transactions on Transportation Electrification. 10(3). 5439–5450. 6 indexed citations

8.

Nan, Jinrui, et al.. (2023). Critical Current Degradation and Joint Resistance Rise of REBCO Tape and Coil During Heat Treatment. IEEE Transactions on Applied Superconductivity. 34(5). 1–6. 1 indexed citations

9.

Zhao, Jingyuan, Wenyi Zhao, Bo Deng, et al.. (2023). Autonomous driving system: A comprehensive survey. Expert Systems with Applications. 242. 122836–122836. 113 indexed citations breakdown →

10.

Deng, Bo, Jinrui Nan, Wanke Cao, & Wenwei Wang. (2023). A Survey on Integration of Network Communication into Vehicle Real-Time Motion Control. IEEE Communications Surveys & Tutorials. 25(4). 2755–2790. 29 indexed citations

11.

Yang, Jun, et al.. (2022). Diagnostic method for partial discharge in transformer based on multiple information and application analysis. IET conference proceedings.. 2021(15). 738–741.

12.

Nan, Jinrui, Bo Deng, Wanke Cao, et al.. (2022). Big Data-Based Early Fault Warning of Batteries Combining Short-Text Mining and Grey Correlation. Energies. 15(15). 5333–5333. 6 indexed citations

13.

Nan, Jinrui, et al.. (2022). Research on Improvement and Experiment for Cyber Security of Automotive Electronic and Electrical Architecture. 400–405. 2 indexed citations

14.

Nan, Jinrui, et al.. (2019). Simulation Research on Fuel Consumption Reduction Strategy of 48V Micro Hybrid Electric Vehicles. DEStech Transactions on Environment Energy and Earth Science. 1 indexed citations

15.

Nan, Jinrui, et al.. (2017). Research on Air Suspension Control System Based on Fuzzy Control. Energy Procedia. 105. 2653–2659. 21 indexed citations

16.

Nan, Jinrui, Dafang Wang, & Fengchun Sun. (2010). Application of wireless communication module based on nRF905 in battery Quick Change of electric vehicle. 6437–6440. 1 indexed citations

17.

Nan, Jinrui, et al.. (2010). The research of the databases connection methods in LabVIEW based on ADO. 20. V7–229. 5 indexed citations

18.

Wang, Zhifu, Qizhi Teng, Chengning Zhang, & Jinrui Nan. (2009). Real-time PMSM Temperature Rising in Electric Vehicles with MRAS. 21. 66–70. 2 indexed citations

19.

Wang, Dafang, Jinrui Nan, & Fengchun Sun. (2008). The application of CAN communication in distributed control system of electric city bus. 1000. 1–4. 6 indexed citations

20.

Sun, Fengchun, et al.. (2007). Research on reflection of CAN signal in transmission line. 1–4. 2 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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