Jinrui Nan

661 citations
35 papers · 360 indexed · 1 hit paper · h-index 10

Jinrui Nan

32 papers receiving 338 citations

Hit Papers

Autonomous driving system: A comprehensive survey1132023202620242025255075100

Peers

Jinrui Nan
Comparison fields: 5 of 57
  • Automotive Engineering 182
  • Control and Systems Engineering 82
  • Computer Vision and Pattern Recognition 58
  • Hardware and Architecture 18
  • Electrical and Electronic Engineering 131
Replace Vipin Kumar Kukkala with:
Vipin Kumar Kukkala United States
Viktor Tihanyi Hungary
Yukun Fang China
Sisil Kumarawadu Sri Lanka
Morteza Mollajafari Iran
Chuanyang Sun China
Jelena Kocić Serbia
Jingyan Song China
Chaoxian Wu China
Qian Shi China
Jinrui Nan relative to Vipin Kumar Kukkala United States Vipin Kumar Kukkala's profile →
Citations per field
00.5×3.1×
Vipin Kumar Kukkala · 1×
Citations per year

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

The 25 scholars most cited alongside Jinrui Nan, 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 Jinrui Nan Line = papers co-authored together Jinrui Nan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 20259
3 20241
4 20248
5 202421
6 20245
7 20236
8 20231
9
Autonomous driving system: A comprehensive surveybreakdown →
2023113
10 202329
11 20220
12 20226
13 20222
14 20191
15 201721
16 20101
17 20105
18 20092
19 20086
20 20072

About Jinrui Nan

Jinrui Nan is a scholar working on Automotive Engineering, Control and Systems Engineering and Hardware and Architecture, having authored 35 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (12 papers), Electric and Hybrid Vehicle Technologies (8 papers), Real-time simulation and control systems (7 papers), Vehicle Dynamics and Control Systems (6 papers), Electric Vehicles and Infrastructure (5 papers), Fault Detection and Control Systems (5 papers), Embedded Systems and FPGA Design (5 papers) and Advanced Sensor and Control Systems (4 papers). The work is most often cited by research in Automotive Engineering (182 citations), Control and Systems Engineering (82 citations) and Computer Vision and Pattern Recognition (58 citations). Jinrui Nan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wanke Cao, Bo Deng, Andrew Burke, Jingyuan Zhao, Yubo Lian, Fengchun Sun, Wenyi Zhao, Wenwei Wang, Feng Zhang and Zhenghong Wang. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Expert Systems with Applications and IEEE Access.

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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