Dao Wang

781 citations
54 papers · 617 · h-index 13

Impact in

Papers in

Dao Wang

45 papers receiving 605 citations

Peers

Dao Wang
Comparison fields: 5 of 86
  • Electronic, Optical and Magnetic Materials 116
  • Electrical and Electronic Engineering 349
  • Materials Chemistry 271
  • Bioengineering 17
  • Polymers and Plastics 39
Replace Nao Takano with:
Nao Takano Japan
Jiale Du China
Naoki Okamoto Japan
Pradeep Kumar India
Tingting Hao China
Fuhua Yang China
Teresa Oh South Korea
Hyung‐Youl Park South Korea
Qin Xie China
Zheng Yuan China
Dao Wang relative to Nao Takano Japan Nao Takano's profile →
Citations per field
00.5×6.9×
Nao Takano · 1×
Citations per year

Countries citing papers authored by Dao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201971
2 202149
3 202346
4 202343
5 202036
6 201836
7 200036
8 201928
9 202325
10 200525
11 202224
12 202217
13 201915
14 201912
15 202012
16 202212
17 202111
18 201210
19 20199
20 20218

About Dao Wang

Dao Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Atomic and Molecular Physics, and Optics, having authored 54 papers that have together received 617 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (13 papers), Semiconductor materials and devices (12 papers), MXene and MAX Phase Materials (8 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Magnetic properties of thin films (5 papers), Advanced Memory and Neural Computing (4 papers), Metallic Glasses and Amorphous Alloys (4 papers) and Electromagnetic wave absorption materials (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (116 citations), Electrical and Electronic Engineering (349 citations), Materials Chemistry (271 citations), Bioengineering (17 citations) and Polymers and Plastics (39 citations). Dao Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xubing Lu, Jun‐Ming Liu, Zhen Fan, Guofu Zhou, Deyang Chen, Min Zeng, Jiali Wang, Ya-Bo Xie, Ruiqiang Tao and Xingsen Gao. Their work appears in journals such as Materials Research Express, Composites Communications, Journal of Applied Physics, Journal of Magnetism and Magnetic Materials and Materials Science in Semiconductor Processing.

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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