Die Wang

502 citations
34 papers · 402 · h-index 12

Impact in

Papers in

Die Wang

34 papers receiving 394 citations

Peers

Die Wang
Comparison fields: 5 of 48
  • Electrical and Electronic Engineering 208
  • Analytical Chemistry 23
  • Materials Chemistry 74
  • Spectroscopy 21
  • Surfaces, Coatings and Films 7
Replace Hideaki Oka with:
Hideaki Oka Japan
Svenja‐K. Otto Germany
Wojciech Maziarz Poland
Jaroslav Boušek Belgium
Eric C. Nallon United States
Licheng Tang China
Christopher R. Field United States
Sandro Mengali Italy
Jacqueline Hines United States
Zheng Qiao China
Die Wang relative to Hideaki Oka Japan Hideaki Oka's profile →
Citations per field
00.5×2×3.3×
Hideaki Oka · 1×
Citations per year

Countries citing papers authored by Die Wang

Since Specialization
Citations

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

Fields of papers citing papers by Die Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 201938
3 201632
4 202128
5 201826
6 202024
7 201923
8 202520
9 201616
10 202016
11 202013
12 202013
13 201812
14 201810
15 20187
16 20187
17 20197
18 20176
19 20196
20 20196

About Die Wang

Die Wang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Materials Chemistry, Computer Graphics and Computer-Aided Design and Control and Systems Engineering, having authored 34 papers that have together received 402 indexed citations. Recurring topics across this work include Semiconductor materials and devices (12 papers), Advanced SAR Imaging Techniques (3 papers), Organic Electronics and Photovoltaics (3 papers), Microgrid Control and Optimization (2 papers), 2D Materials and Applications (2 papers), HVDC Systems and Fault Protection (2 papers), Material Properties and Failure Mechanisms (1 paper) and Offshore Engineering and Technologies (1 paper). The work is most often cited by research in Electrical and Electronic Engineering (208 citations), Analytical Chemistry (23 citations), Materials Chemistry (74 citations), Spectroscopy (21 citations) and Surfaces, Coatings and Films (7 citations). Die Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gang He, Shuang Liang, Juan Gao, Shaoshi Yang, Zhengmin Kong, Lajos Hanzo, Xinjian Cheng, Zebo Fang, Luminita Bajenaru Marin and Dongxiang Zhang. Their work appears in journals such as RSC Advances, Journal of Materials Chemistry C, Materials Science and Engineering B, Advanced Materials and IEEE Transactions on Information Forensics and Security.

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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