Dao Wang

745 citations
52 papers · 570 · h-index 13

Impact in

Papers in

Dao Wang

44 papers receiving 558 citations

Peers

Dao Wang
Comparison fields: 5 of 83
  • Electronic, Optical and Magnetic Materials 108
  • Electrical and Electronic Engineering 330
  • Materials Chemistry 259
  • Bioengineering 17
  • Polymers and Plastics 38
Replace Pradeep Kumar with:
Pradeep Kumar India
Jiale Du China
Po‐Yu Yang Taiwan
Jae Ho Kim South Korea
Wenyuan Wang China
Roger Hasler Austria
P. Mack United Kingdom
Xinchun Tian United States
Han Man United States
Hongguang Zhang China
Dao Wang relative to Pradeep Kumar India Pradeep Kumar's profile →
Citations per field
00.5×1.5×
Pradeep Kumar · 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 202145
3 202339
4 202338
5 201836
6 200036
7 202032
8 201927
9 200525
10 202324
11 202220
12 202216
13 201914
14 202012
15 202212
16 201912
17 202111
18 201210
19 20199
20 20217

About Dao Wang

Dao Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Oncology, having authored 52 papers that have together received 570 indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (12 papers), Semiconductor materials and devices (11 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), Shape Memory Alloy Transformations (3 papers) and Metallic Glasses and Amorphous Alloys (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (108 citations), Electrical and Electronic Engineering (330 citations), Materials Chemistry (259 citations), Bioengineering (17 citations) and Polymers and Plastics (38 citations). Dao Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xubing Lu, Jun‐Ming Liu, Guofu Zhou, Zhen Fan, Jiali Wang, Deyang Chen, Min Zeng, Ya-Bo Xie, Ruiqiang Tao and Xingsen Gao. Their work appears in journals such as Materials Research Express, Journal of Applied Physics, Surfaces and Interfaces, Journal of Materials Chemistry C and Journal of Magnetism and Magnetic Materials.

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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