Danny Wan

762 citations
33 papers · 425 · h-index 12

Impact in

Papers in

Danny Wan

29 papers receiving 418 citations

Peers

Danny Wan
Comparison fields: 5 of 34
  • Atomic and Molecular Physics, and Optics 240
  • Electrical and Electronic Engineering 281
  • Electronic, Optical and Magnetic Materials 89
  • Condensed Matter Physics 46
  • Artificial Intelligence 91
Replace Junta Igarashi with:
Junta Igarashi Japan
Artem Litvinenko Sweden
I. Alvarado-Rodriguez United States
Massimo Mongillo Belgium
Julien Camirand Lemyre Canada
S. V. Grishin Russia
Luis Sánchez-Tejerina Spain
Yunbao Zheng China
Dmitry V. Zhirihin Russia
Davi R. Rodrigues Germany
Danny Wan relative to Junta Igarashi Japan Junta Igarashi's profile →
Citations per field
00.5×
Junta Igarashi · 1×
Citations per year

Countries citing papers authored by Danny Wan

Since Specialization
Citations

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

Fields of papers citing papers by Danny Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202168
2 201843
3 202433
4 201833
5 202228
6 202327
7 202025
8 201824
9 202320
10 202118
11 201816
12 201811
13 202111
14 20189
15 20188
16 20258
17 20218
18 20186
19 20236
20 20205

About Danny Wan

Danny Wan is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Artificial Intelligence, Condensed Matter Physics and Electronic, Optical and Magnetic Materials, having authored 33 papers that have together received 425 indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (18 papers), Advancements in Semiconductor Devices and Circuit Design (11 papers), Magnetic properties of thin films (10 papers), Semiconductor materials and devices (10 papers), Quantum Computing Algorithms and Architecture (7 papers), Ferroelectric and Negative Capacitance Devices (5 papers), Advanced Memory and Neural Computing (5 papers) and Quantum Information and Cryptography (4 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (240 citations), Electrical and Electronic Engineering (281 citations), Electronic, Optical and Magnetic Materials (89 citations), Condensed Matter Physics (46 citations) and Artificial Intelligence (91 citations). Danny Wan has collaborated with scholars based in Belgium, United States and France. Frequent co-authors include Iuliana Radu, Frédéric Lazzarino, Massimo Mongillo, B. Govoreanu, Nouredine Rassoul, T. Devolder, Marc Heyns, Sébastien Couet, Zsolt Tökei and Sara Paolillo. Their work appears in journals such as Physical review. B., npj Quantum Information, Japanese Journal of Applied Physics, Nature Electronics and Quantum Science and Technology.

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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