Khay Wai See

2.2k citations
46 papers · 1.6k indexed · 3 hit papers · h-index 16

Khay Wai See

44 papers receiving 1.6k citations

Hit Papers

A Comprehens...29202020262022202450100150200250

Peers

Khay Wai See
Comparison fields: 5 of 75
  • Automotive Engineering 885
  • Electrical and Electronic Engineering 1.1k
  • Control and Systems Engineering 213
  • Electronic, Optical and Magnetic Materials 167
  • Condensed Matter Physics 99
Replace Henk Jan Bergveld with:
Henk Jan Bergveld Netherlands
Seung-Wook Lee South Korea
Guoqing Xu China
M. González Spain
Andrew J. Forsyth United Kingdom
Vanessa Smet United States
Zoubir Khatir France
Woojin Choi South Korea
Khay Wai See relative to Henk Jan Bergveld Netherlands Henk Jan Bergveld's profile →
Citations per field
00.5×4.5×
Henk Jan Bergveld · 1×
Citations per year

Countries citing papers authored by Khay Wai See

Since Specialization
Citations

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

Fields of papers citing papers by Khay Wai See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khay Wai See. 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 Khay Wai See. The network helps show where Khay Wai See may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20251
5 202511
6
A Comprehensive Review on Lithium-Ion Battery Lifetime Prediction and Aging Mechanism Analysisbreakdown →
202529
7 20255
8 20243
9 20241
10 202410
11 20231
12 20238
13 20230
14
A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer modelbreakdown →
2022204
15 20197
16 201711
17 2017148
18 201740
19 201746
20 2015154

About Khay Wai See

Khay Wai See is a scholar working on Automotive Engineering, Condensed Matter Physics and Electrical and Electronic Engineering, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (22 papers), Advancements in Battery Materials (14 papers), Superconductivity in MgB2 and Alloys (8 papers), Physics of Superconductivity and Magnetism (8 papers), Advanced Battery Materials and Technologies (7 papers), Advanced DC-DC Converters (7 papers), Multilevel Inverters and Converters (5 papers) and Iron-based superconductors research (5 papers). The work is most often cited by research in Automotive Engineering (885 citations), Electrical and Electronic Engineering (1.1k citations) and Control and Systems Engineering (213 citations). Khay Wai See has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Neng Zhang, Shi Xue Dou, Hany Ayad Bastawrous, Wei Kong Pang, Guidong Zhang, Vanessa K. Peterson, Zhanhu Guo, Gemeng Liang, Peng Zhang and Xinyu Gu. Their work appears in journals such as Superconductor Science and Technology, Batteries, IEEE Transactions on Power Electronics, Applied Energy and Journal of Power Sources.

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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