Lin Hui

514 citations
71 papers · 365 · h-index 11

Impact in

Papers in

Lin Hui

61 papers receiving 350 citations

Peers

Lin Hui
Comparison fields: 5 of 81
  • Control and Systems Engineering 153
  • Automotive Engineering 46
  • Electrical and Electronic Engineering 132
  • Mechanical Engineering 76
  • Materials Chemistry 58
Replace Darren F. Kavanagh with:
Darren F. Kavanagh Ireland
Yundong Cao China
Yong Yi China
Seung-Ho Song South Korea
Yicheng Wang China
Li Ding China
Nebojša Arsić Serbia
Marcelo E. Valdes United States
Nan Xia China
Zhiqian Xu China
Lin Hui relative to Darren F. Kavanagh Ireland Darren F. Kavanagh's profile →
Citations per field
00.5×2.9×
Darren F. Kavanagh · 1×
Citations per year

Countries citing papers authored by Lin Hui

Since Specialization
Citations

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

Fields of papers citing papers by Lin Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201628
2 201923
3 201923
4 202123
5 201622
6 201620
7 202014
8 202210
9 202210
10 201510
11 200710
12 202110
13 20209
14 20179
15 20108
16 20178
17 20218
18 20177
19 20117
20 20137

About Lin Hui

Lin Hui is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering and Materials Chemistry, having authored 71 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Sensor and Control Systems (14 papers), Iterative Learning Control Systems (13 papers), Industrial Technology and Control Systems (11 papers), Advanced Algorithms and Applications (10 papers), Vehicle Dynamics and Control Systems (9 papers), Hydraulic and Pneumatic Systems (9 papers), Sensorless Control of Electric Motors (6 papers) and High voltage insulation and dielectric phenomena (6 papers). The work is most often cited by research in Control and Systems Engineering (153 citations), Automotive Engineering (46 citations), Electrical and Electronic Engineering (132 citations), Mechanical Engineering (76 citations) and Materials Chemistry (58 citations). Lin Hui has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Hu Zhao, Bingqiang Li, Xingwen Li, Saleem Riaz, Farkhanda Afzal, Hefeng Huang, Jian‐Zhong Sheng, Lian Li, Rong Qi and Tao Feng. Their work appears in journals such as Physics of Plasmas, Journal of Control Science and Engineering, Journal of Advanced Transportation, Scientific Reports and Journal of Allergy and Clinical Immunology.

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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