Wei‐Ping Lee

1.2k citations
48 papers · 982 · h-index 20

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Hepatitis C virus research 5
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Metaheuristic Optimization Algorithms Research 9
    • Evolutionary Algorithms and Applications 7

Wei‐Ping Lee

46 papers receiving 944 citations

Peers

Wei‐Ping Lee
Comparison fields: 5 of 123
  • Hepatology 171
  • Oncology 184
  • Cancer Research 81
  • Drug Discovery 1
  • Pharmacology 44
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Wei‐Ping Lee relative to Masahiro Ito Japan Masahiro Ito's profile →
Citations per field
00.5×1.5×2.1×
Masahiro Ito · 1×
Citations per year

Countries citing papers authored by Wei‐Ping Lee

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Ping Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei‐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 Wei‐Ping Lee Line = papers co-authored together Wei‐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 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201587
2 201182
3 201063
4 200558
5 201157
6 200651
7 201150
8 200738
9 201231
10 201330
11
Modified the Performance of Differential Evolution Algorithm with Dual Evolution Strategy
200930
12 200728
13 201826
14 201326
15 201125
16 201324
17 201624
18 200822
19 201321
20 201319

About Wei‐Ping Lee

Wei‐Ping Lee is a scholar working on Hepatology, Artificial Intelligence, Molecular Biology, Oncology and Epidemiology, having authored 48 papers that have together received 982 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers), Hepatitis C virus research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Hepatitis B Virus Studies (4 papers), Interconnection Networks and Systems (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Telomeres, Telomerase, and Senescence (3 papers). The work is most often cited by research in Hepatology (171 citations), Oncology (184 citations), Cancer Research (81 citations), Drug Discovery (1 citation) and Pharmacology (44 citations). Wei‐Ping Lee has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Yee Chao, Keng‐Hsin Lan, Chung‐Pin Li, Shou‐Dong Lee, Jia‐Sheng Heh, Sang‐Hue Yen, Han-Chieh Lin, Han‐Chieh Lin, Jack Wang and Chang‐Hsuan Chiu. Their work appears in journals such as Archives of Biochemistry and Biophysics, Oncotarget, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Liver International and Clinical 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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