Xinmin Wang

11.6k citations
466 papers · 9.4k · 1 hit paper · h-index 52

Impact in

Papers in

Xinmin Wang

442 papers receiving 9.2k citations

Xinmin Wang's Hit Papers

EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation 2019 · 381 citations
3810+2+4Years since publication100200300

Peers

Xinmin Wang
Comparison fields: 5 of 196
  • Electronic, Optical and Magnetic Materials 2.6k
  • Mechanical Engineering 4.1k
  • Ceramics and Composites 439
  • Materials Chemistry 1.8k
  • Aerospace Engineering 828
Replace Sheng Liu with:
Sheng Liu China
Yong Chen China
Zhuo Chen China
Dawei Zhang China
Chunhui Wang Australia
Yang Li China
Sung‐Hoon Ahn South Korea
Ying Li China
Cheng Li China
Bo Li China
Xinmin Wang relative to Sheng Liu China Sheng Liu's profile →
Citations per field
00.5×1.5×
Sheng Liu · 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 466 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 →
2019381
2 1993190
3 2015185
4 1997179
5 2011162
6 2020157
7 2020135
8 2009126
9 1999120
10 2018119
11 2015116
12 2020107
13 2017105
14 2020104
15 2009102
16 2014101
17 201299
18 201597
19 201994
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 Mechanics of Materials, having authored 466 papers that have together received 9.4k indexed citations. Recurring topics across this work include Metallic Glasses and Amorphous Alloys (111 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), Tailings Management and Properties (25 papers), Adaptive Control of Nonlinear Systems (22 papers) and Geomechanics and Mining Engineering (20 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (2.6k citations), Mechanical Engineering (4.1k citations), Ceramics and Composites (439 citations), Materials Chemistry (1.8k citations) and Aerospace Engineering (828 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, Jiawei Li and Yuxuan Yang. 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 Non-Crystalline Solids.

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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