Wen‐Chuan Lee

3.6k citations
75 papers · 2.2k indexed · 1 hit paper · h-index 22
Topics
Statistical Distribution Estimation and Applications (16 papers)Advanced Statistical Process Monitoring (13 papers)Heat shock proteins research (11 papers)
Journals
SHILAP Revista de lepidopterologíaThe FASEB JournalInternational Journal of Pharmaceutics
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Wen‐Chuan Lee

70 papers receiving 2.2k citations

Hit Papers

Trojaning Attack on Neural Networks20182026202020232018200400600

Peers

Wen‐Chuan Lee
Comparison fields: 5 of 143
  • Artificial Intelligence 1.1k
  • Signal Processing 413
  • Computer Networks and Communications 270
  • Computer Vision and Pattern Recognition 267
  • Molecular Biology 253
Replace Tom Chen with:
Tom Chen United States
Arlindo L. Oliveira Portugal
Chaochao Chen China
Yun Peng United States
Irad Ben‐Gal Israel
Jiannan Wang United States
William J. Cook United States
Klemens Böhm Germany
Jeffrey J. P. Tsai United States
Sang‐Wook Kim South Korea
Wen‐Chuan Lee relative to Tom Chen United States Tom Chen's profile →
Citations per field
00.5×1.5×2.1×
Tom Chen · 1×
Citations per year

Countries citing papers authored by Wen‐Chuan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Chuan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen‐Chuan 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 Wen‐Chuan Lee. The network helps show where Wen‐Chuan Lee may publish in the future.

Co-authorship network of co-authors of Wen‐Chuan Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Chuan Lee. A scholar is included among the top collaborators of Wen‐Chuan Lee 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 Wen‐Chuan Lee. Wen‐Chuan Lee 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
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2
COMPUTATIONAL PROCEDURE OF ASSESSING THE QUALITY PERFORMANCE FOR WEIBULL PRODUCTS WITH THE UPPER RECORD VALUES
0
3 5
4 0
5 4
6 6
7 9
8 62
9 11
10 21
11 26
12 25
13 93
14 39
15 14
16 13
17 7
18 11
19 19
20 30

About Wen‐Chuan Lee

Wen‐Chuan Lee is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Hardware and Architecture, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (16 papers), Advanced Statistical Process Monitoring (13 papers) and Heat shock proteins research (11 papers). The work is most often cited by research in Signal Processing (413 citations), Artificial Intelligence (1.1k citations) and Statistics, Probability and Uncertainty (191 citations). Wen‐Chuan Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shiqing Ma, Yingqi Liu, Xiangyu Zhang, Yousra Aafer, Jong‐Wuu Wu, Weihang Wang, Juan Zhai, Guanhong Tao, I‐Ming Chu and Yiu‐Kay Lai. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and International Journal of Pharmaceutics.

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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