Naigang Wang

3.6k citations
45 papers · 2.4k indexed · 1 hit paper · h-index 20
Topics
Advanced DC-DC Converters (6 papers)Semiconductor materials and devices (6 papers)Magnetic properties of thin films (5 papers)

In The Last Decade

Naigang Wang

40 papers receiving 2.3k citations

Hit Papers

Dramatically enhanced polarization in (001), (101), and (...20042026201120182004100200300400500

Peers

Naigang Wang
Comparison fields: 5 of 103
  • Electronic, Optical and Magnetic Materials 1.3k
  • Materials Chemistry 1.3k
  • Electrical and Electronic Engineering 797
  • Biomedical Engineering 384
  • Mechanical Engineering 222
Replace Michael Schneider with:
Michael Schneider Austria
Jan Zeman Czechia
Jeoung-Yeon Hwang South Korea
Shinya Honda Japan
Ming Yu China
Hongliang Chang China
Naixing Feng China
Yang Yang Australia
Jiaxin Li China
Cheng Yang Germany
Naigang Wang relative to Michael Schneider Austria Michael Schneider's profile →
Citations per field
00.5×10×15.4×
Michael Schneider · 1×
Citations per year

Countries citing papers authored by Naigang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Naigang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naigang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Naigang Wang. A scholar is included among the top collaborators of Naigang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Naigang Wang. Naigang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 2
5
Ultra-Low Precision 4-bit Training of Deep Neural Networks
53
6 45
7
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
85
8 38
9 0
10 4
11 9
12 141
13 13
14
Fabrication and integration of permanent magnet materials into MEMS transducers
6
15 87
16 332
17 63
18 168
19 50
20 178

About Naigang Wang

Naigang Wang is a scholar working on Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced DC-DC Converters (6 papers), Semiconductor materials and devices (6 papers) and Magnetic properties of thin films (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (1.3k citations), Materials Chemistry (1.3k citations) and Computational Mathematics (13 citations). Naigang Wang has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include David P. Arnold, Jiefang Li, D. Viehland, A. P. Pyatakov, А. К. Звездин, Junling Wang, Manfred Wuttig, Feiming Bai, L. E. Cross and R. Ramesh. Their work appears in journals such as Applied Physics Letters, Journal of Applied Physics and Physical Review B.

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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