Wan-Jui Lee

19 papers receiving 441 citations

Wan-Jui Lee's Hit Papers

Potential, challenges and future directions for deep learning in prognostics and health management applications 2020 · 357 citations
3570+2+4Years since publication100200300

Peers

Wan-Jui Lee
Comparison fields: 5 of 88
  • Medical Laboratory Technology 16
  • Control and Systems Engineering 221
  • Safety, Risk, Reliability and Quality 63
  • Industrial and Manufacturing Engineering 44
  • Statistics, Probability and Uncertainty 31
Replace Stefan Byttner with:
Stefan Byttner Sweden
Shimeng Wu China
Tarek Berghout Algeria
Jilun Tian China
Hongpeng Yin China
Sinan Li China
Nader Fnaiech France
Junyou Shi China
Chaoying Yang China
Wan-Jui Lee relative to Stefan Byttner Sweden Stefan Byttner's profile →
Citations per field
00.5×1.7×
Stefan Byttner · 1×
Citations per year

Countries citing papers authored by Wan-Jui Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wan-Jui Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Wan-Jui Lee, 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 Wan-Jui Lee Line = papers co-authored together Wan-Jui Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Potential, challenges and future directions for deep learning in prognostics and health management applications
Hit paper breakdown →
2020357
2 200820
3 200616
4 201315
5 201812
6 20069
7 20128
8 20038
9 20106
10 20054
11 20103
12 20203
13 20052
14 20072
15 20042
16 20191
17 20161
18 20061
19 20031
20
An Incremental Algorithm for Discovering Fuzzy Temporal Web Usage Patterns.
20040

About Wan-Jui Lee

Wan-Jui Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems and Signal Processing, having authored 20 papers that have together received 471 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Neural Networks and Applications (5 papers), Data Management and Algorithms (4 papers), Advanced Algorithms and Applications (4 papers), Data Mining Algorithms and Applications (4 papers), Image Retrieval and Classification Techniques (3 papers), Fuzzy Logic and Control Systems (3 papers) and Rough Sets and Fuzzy Logic (3 papers). The work is most often cited by research in Medical Laboratory Technology (16 citations), Control and Systems Engineering (221 citations), Safety, Risk, Reliability and Quality (63 citations), Industrial and Manufacturing Engineering (44 citations) and Statistics, Probability and Uncertainty (31 citations). Wan-Jui Lee has collaborated with scholars based in Taiwan, Netherlands and Switzerland. Frequent co-authors include Olga Fink, Qin Wang, Mélanie Ducoffe, Pierre Dersin, Markus Svensén, Shie-Jue Lee, Jung-Yi Jiang, Robert P. W. Duin, Laurens van der Maaten and Chen‐Sen Ouyang. Their work appears in journals such as International Journal of Prognostics and Health Management, Engineering Applications of Artificial Intelligence, Data & Knowledge Engineering, PLoS ONE and International Journal of Pattern Recognition and Artificial Intelligence.

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.

Explore authors with similar magnitude of impact