Kai Luo

37 papers receiving 603 citations

Kai Luo's Hit Papers

A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries 2022 · 197 citations
1970+1+2Years since publication50100150

Peers

Kai Luo
Comparison fields: 5 of 72
  • Automotive Engineering 295
  • Computer Vision and Pattern Recognition 167
  • Safety, Risk, Reliability and Quality 57
  • Signal Processing 65
  • Computer Graphics and Computer-Aided Design 21
Replace Hadi Kazemi with:
Hadi Kazemi United States
Chang Hong Lin Taiwan
Jingda Guo United States
Zhenwei He China
Haojie Zhu China
Yassin Kortli Tunisia
Orhan Bulan United States
Carmadi Machbub Indonesia
Luca Bondi Italy
Alberto Díaz-Álvarez Spain
Kai Luo relative to Hadi Kazemi United States Hadi Kazemi's profile →
Citations per field
00.5×6.8×
Hadi Kazemi · 1×
Citations per year

Countries citing papers authored by Kai Luo

Since Specialization
Citations

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

Fields of papers citing papers by Kai Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries
Hit paper breakdown →
2022197
2 202373
3 201943
4 202441
5 201929
6 202025
7 202025
8 202324
9 200921
10 200919
11 202215
12 202014
13 201413
14 20229
15 20209
16 20258
17 20218
18 20097
19
Arbitrary View Generation Based on DIBR and Depth-Aided Image Inpainting
20105
20 20085

About Kai Luo

Kai Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering and Automotive Engineering, having authored 42 papers that have together received 620 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (7 papers), Advanced Battery Technologies Research (5 papers), Advancements in Battery Materials (5 papers), Advanced Vision and Imaging (5 papers), Recommender Systems and Techniques (5 papers), Topic Modeling (4 papers), Fault Detection and Control Systems (4 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Automotive Engineering (295 citations), Computer Vision and Pattern Recognition (167 citations), Safety, Risk, Reliability and Quality (57 citations), Signal Processing (65 citations) and Computer Graphics and Computer-Aided Design (21 citations). Kai Luo has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Zhicong Shi, Huiru Zheng, Xiang Chen, Scott Sanner, Ga Wu, Hojin Yang, Kefu Yi, Ning Ning, Ming Zhang and Dongxiao Li. Their work appears in journals such as Journal of Power Sources, Journal of Zhejiang University. Science A, Energy Reports, Journal of Energy Engineering and IEEE Transactions on Biometrics Behavior and Identity Science.

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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