Duo Wang

2.5k citations
66 papers · 1.9k indexed · 2 hit papers · h-index 20

Impact in

Papers in

Duo Wang

61 papers receiving 1.8k citations

Hit Papers

Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions 2021 · 172 citations
1722018202620202023100200300400

Peers

Duo Wang
Comparison fields: 5 of 119
  • Renewable Energy, Sustainability and the Environment 442
  • Computational Mathematics 11
  • Computer Vision and Pattern Recognition 317
  • Control and Systems Engineering 281
  • Electronic, Optical and Magnetic Materials 206
Replace Minjian Zhao with:
Minjian Zhao China
Bo Hu China
Yuntao Wu China
Yining Li China
Songtao Lu China
Xuemin Hu China
Yanqing Zhang China
Yuanyuan Li China
Huaming Qian China
Weiwei Xia China
Duo Wang relative to Minjian Zhao China Minjian Zhao's profile →
Citations per field
00.5×3.7×
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-authorship network

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
#Work
1 20250
2 20251
3 20252
4 20243
5 20243
6 202421
7 20240
8 202443
9 20231
10 202355
11 202210
12 202234
13 202111
14 20219
15 202026
16 20198
17 201915
18 20181
19 20111
20
Model for cascading failures on complex networks based on local characteristics of nodes
20101

About Duo Wang

Duo Wang is a scholar working on Electronic, Optical and Magnetic Materials, Theoretical Computer Science, Materials Chemistry, Medical Laboratory Technology and Radiological and Ultrasound Technology, having authored 66 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 (5 papers), Electrocatalysts for Energy Conversion (5 papers), Advanced Condensed Matter Physics (4 papers), Advancements in Battery Materials (4 papers), MXene and MAX Phase Materials (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (442 citations), Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (317 citations), Control and Systems Engineering (281 citations) and Electronic, Optical and Magnetic Materials (206 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, Yi Shen, Jia Li and Jingyu Xi. Their work appears in journals such as Physical review. B., Liquid Crystals, Desalination, The Journal of Physical Chemistry Letters and Applied Physics Letters.

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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