Wan‐Ping Lee

3.6k citations
35 papers · 439 · h-index 13

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • Bioinformatics and Genomic Networks 4
    • Genetic Associations and Epidemiology 8
    • Genomics and Rare Diseases 7
    • Genomic variations and chromosomal abnormalities 4

Wan‐Ping Lee

31 papers receiving 429 citations

Peers

Wan‐Ping Lee
Comparison fields: 5 of 76
  • Hardware and Architecture 88
  • Genetics 87
  • Electrical and Electronic Engineering 172
  • Computer Networks and Communications 68
  • Molecular Biology 102
Replace Enrico Reggiani with:
Enrico Reggiani Italy
James Burns United States
Hans Kruse United States
Xingyu Wang China
Yi‐Jie Huang China
Teruyoshi Hishiki Japan
Roberto De Simone Italy
Narender Kumar India
Hansen United States
Chunpei Li China
Wan‐Ping Lee relative to Enrico Reggiani Italy Enrico Reggiani's profile →
Citations per field
00.5×10×12.8×
Enrico Reggiani · 1×
Citations per year

Countries citing papers authored by Wan‐Ping Lee

Since Specialization
Citations

This map shows the geographic impact of Wan‐Ping 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‐Ping 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‐Ping Lee more than expected).

Fields of papers citing papers by Wan‐Ping Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 200751
3 201950
4 201840
5 202224
6 200722
7 200721
8 200720
9 200816
10
Change in diet and body mass index in Taiwanese women with length of residence in Australia.
200715
11
Comprehensive Analysis of Alternative Splicing in Gastric Cancer Identifies Epithelial-Mesenchymal Transition Subtypes Associated with Survival.
202214
12 200913
13 202312
14 202312
15 200910
16 20229
17 20029
18 20216
19 20225
20 20254

About Wan‐Ping Lee

Wan‐Ping Lee is a scholar working on Molecular Biology, Genetics, Electrical and Electronic Engineering, Computer Networks and Communications and Physiology, having authored 35 papers that have together received 439 indexed citations. Recurring topics across this work include VLSI and FPGA Design Techniques (8 papers), Genomics and Phylogenetic Studies (8 papers), Low-power high-performance VLSI design (8 papers), Genetic Associations and Epidemiology (8 papers), Genomics and Rare Diseases (7 papers), Genomic variations and chromosomal abnormalities (4 papers), Bioinformatics and Genomic Networks (4 papers) and Interconnection Networks and Systems (4 papers). The work is most often cited by research in Hardware and Architecture (88 citations), Genetics (87 citations), Electrical and Electronic Engineering (172 citations), Computer Networks and Communications (68 citations) and Molecular Biology (102 citations). Wan‐Ping Lee has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Yao‐Wen Chang, Hung‐Yi Liu, Charles Lee, Kai Ye, Xiaofei Yang, Li‐San Wang, Yuk Yee Leung, Christy Pu, Yueh‐Ching Chou and Jennifer Lingard. Their work appears in journals such as Alzheimer s & Dementia, Frontiers in Genetics, Genome biology, Frontiers in Aging Neuroscience and Human Molecular Genetics.

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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