Lin Yang

3.6k citations
101 papers · 2.6k · 1 hit paper · h-index 25

Impact in

Papers in

Lin Yang

87 papers receiving 2.5k citations

Lin Yang's Hit Papers

Artificial intelligence applications in the development of autonomous vehicles: a survey 2020 · 411 citations
4110+2+4Years since publication100200300400

Peers

Lin Yang
Comparison fields: 5 of 158
  • Automotive Engineering 280
  • Environmental Chemistry 225
  • Biomedical Engineering 582
  • Human-Computer Interaction 71
  • Electronic, Optical and Magnetic Materials 225
Replace Yanming Shen with:
Yanming Shen China
Xiangping Chen China
Junyan Hu Hong Kong
Ziyang Liu China
Lan Yan China
Can Wang China
Yifei Jiang China
Mahmoud M. Selim Saudi Arabia
Peng Ye China
Lin Yang relative to Yanming Shen China Yanming Shen's profile →
Citations per field
00.5×2.9×
Yanming Shen · 1×
Citations per year

Countries citing papers authored by Lin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial intelligence applications in the development of autonomous vehicles: a survey
Hit paper breakdown →
2020411
2 2015199
3 2016189
4 2017173
5 2020155
6 2019100
7 201694
8 201477
9 202072
10 201871
11 201768
12 202266
13 202062
14 201762
15 201860
16 201854
17 201551
18 201649
19 201747
20 201636

About Lin Yang

Lin Yang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Materials Chemistry and Automotive Engineering, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (7 papers), Robotic Locomotion and Control (7 papers), Advanced Battery Technologies Research (6 papers), Nanocluster Synthesis and Applications (5 papers), Muscle activation and electromyography studies (5 papers) and Prosthetics and Rehabilitation Robotics (5 papers). The work is most often cited by research in Automotive Engineering (280 citations), Environmental Chemistry (225 citations), Biomedical Engineering (582 citations), Human-Computer Interaction (71 citations) and Electronic, Optical and Magnetic Materials (225 citations). Lin Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Cheng Zhi Huang, Yifang Ma, Hong Yang, Zhenyu Wang, Giancarlo Fortino, Yuan Fang Li, Xiuwen Fu, Wentao Dong, Yuanfang Li and Zhongwei Jiang. Their work appears in journals such as Analytical Chemistry, Sensors, Journal of Cleaner Production, IEEE Sensors Journal and Scientific Reports.

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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