Xinmin Wang

11.6k citations
477 papers · 9.6k · 1 hit paper · h-index 53

Impact in

Papers in

Xinmin Wang

449 papers receiving 9.4k citations

Xinmin Wang's Hit Papers

EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation 2019 · 387 citations
3870+2+4Years since publication100200300

Peers

Xinmin Wang
Comparison fields: 5 of 196
  • Electronic, Optical and Magnetic Materials 2.6k
  • Mechanical Engineering 4.2k
  • Ceramics and Composites 446
  • Materials Chemistry 1.9k
  • Aerospace Engineering 864
Replace Yong Chen with:
Yong Chen China
Sheng Liu China
Mark Baker United Kingdom
Zhuo Chen China
Dawei Zhang China
Yang Li China
Sung‐Hoon Ahn South Korea
Ying Li China
Bo Li China
Yanhui Liu China
Xinmin Wang relative to Yong Chen China Yong Chen's profile →
Citations per field
00.5×2.6×
Yong Chen · 1×
Citations per year

Countries citing papers authored by Xinmin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 477 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation
Hit paper breakdown →
2019387
2 1993194
3 2015186
4 1997184
5 2011171
6 2020161
7 2009142
8 2020141
9 1999122
10 2018119
11 2015116
12 2020108
13 2020106
14 2014106
15 2017105
16 2009102
17 2012101
18 2015100
19 201996
20 201592

About Xinmin Wang

Xinmin Wang is a scholar working on Mechanical Engineering, Electronic, Optical and Magnetic Materials, Materials Chemistry, Control and Systems Engineering and Aerospace Engineering, having authored 477 papers that have together received 9.6k indexed citations. Recurring topics across this work include Metallic Glasses and Amorphous Alloys (112 papers), Magnetic Properties of Alloys (35 papers), Electromagnetic wave absorption materials (33 papers), Magnetic Properties and Applications (27 papers), Magnetic properties of thin films (26 papers), Adaptive Control of Nonlinear Systems (25 papers), Tailings Management and Properties (25 papers) and Fault Detection and Control Systems (20 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (2.6k citations), Mechanical Engineering (4.2k citations), Ceramics and Composites (446 citations), Materials Chemistry (1.9k citations) and Aerospace Engineering (864 citations). Xinmin Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chuntao Chang, Aina He, Akihisa Inoue, Anding Wang, Yaqiang Dong, Run-Wei Li, Zhongke Gao, Qinli Zhang, Yuxuan Yang and Jiawei Li. Their work appears in journals such as Journal of Alloys and Compounds, MATERIALS TRANSACTIONS, Journal of Magnetism and Magnetic Materials, Journal of Materials Science Materials in Electronics and Journal of Applied Physics.

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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