Duo Wang

2.6k citations
65 papers · 1.9k · 2 hit papers · h-index 21

Impact in

Papers in

Duo Wang

61 papers receiving 1.9k citations

Duo Wang's Hit Papers

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions 2021 · 182 citations
1820+2+5Years since publication100200300400500

Peers

Duo Wang
Comparison fields: 5 of 119
  • Renewable Energy, Sustainability and the Environment 450
  • Computational Mathematics 12
  • Computer Vision and Pattern Recognition 320
  • Control and Systems Engineering 289
  • Electronic, Optical and Magnetic Materials 210
Replace Minjian Zhao with:
Minjian Zhao China
Bo Hu China
Yuntao Wu China
Yining Li China
Songtao Lu China
Lei Chu China
Xuemin Hu China
Yuanyuan Li China
Yanqing Zhang China
Huaming Qian China
Duo Wang relative to Minjian Zhao China Minjian Zhao's profile →
Citations per field
00.5×
Minjian Zhao · 1×
Citations per year

Countries citing papers authored by Duo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Duo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges
Hit paper breakdown →
2018504
2 2017267
3
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
Hit paper breakdown →
2021182
4 2019116
5 200771
6 202361
7 201952
8 201951
9 202446
10 202342
11 201842
12 202041
13 202234
14 202230
15 201628
16 201028
17 202026
18 202424
19 202123
20 202321

About Duo Wang

Duo Wang is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include 2D Materials and Applications (9 papers), Magnetic and transport properties of perovskites and related materials (8 papers), Ferroelectric and Piezoelectric Materials (6 papers), Advanced Condensed Matter Physics (5 papers), Multiferroics and related materials (5 papers), Electrocatalysts for Energy Conversion (5 papers), Advanced Neural Network Applications (4 papers) and Advancements in Battery Materials (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (450 citations), Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (320 citations), Control and Systems Engineering (289 citations) and Electronic, Optical and Magnetic Materials (210 citations). Duo Wang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Tao Zhang, Yu Cheng, Pan Zhou, Biplab Sanyal, Weining Lu, Jun Yang, Ming Zhang, Jia Li, Yi Shen and Xi Wu. Their work appears in journals such as Physical review. B., Liquid Crystals, Desalination, Applied Physics Letters and Rare Metals.

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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