Wei‐Ping Lee

1.2k citations
48 papers · 932 · h-index 20

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 7
    • Hepatitis B Virus Studies 5
    • Hepatitis C virus research 6
    • Liver Disease and Transplantation 4

Wei‐Ping Lee

45 papers receiving 900 citations

Peers

Wei‐Ping Lee
Comparison fields: 5 of 122
  • Hepatology 188
  • Cancer Research 116
  • Oncology 206
  • Drug Discovery 1
  • Pharmacology 51
Replace Masaaki Oka with:
Masaaki Oka Japan
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Hiroyuki Okuda Japan
Alexey V. Sorokin United States
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Wei‐Ping Lee relative to Masaaki Oka Japan Masaaki Oka's profile →
Citations per field
00.5×3.6×
Masaaki Oka · 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 201582
2 201180
3 201058
4 201153
5 200551
6 201149
7 200649
8 200736
9 201231
10 201330
11
Modified the Performance of Differential Evolution Algorithm with Dual Evolution Strategy
200929
12 200727
13 201326
14 201324
15 201623
16 201823
17 200822
18 201321
19 201121
20 201619

About Wei‐Ping Lee

Wei‐Ping Lee is a scholar working on Epidemiology, Hepatology, Oncology, Molecular Biology and Artificial Intelligence, having authored 48 papers that have together received 932 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (9 papers), Evolutionary Algorithms and Applications (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Hepatitis C virus research (6 papers), Hepatitis B Virus Studies (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Liver Disease and Transplantation (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Hepatology (188 citations), Cancer Research (116 citations), Oncology (206 citations), Drug Discovery (1 citation) and Pharmacology (51 citations). Wei‐Ping Lee has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Keng‐Hsin Lan, Yee Chao, Chung‐Pin Li, Shou‐Dong Lee, Sang‐Hue Yen, Michael F. Chiang, Jia‐Sheng Heh, Han‐Chieh Lin, Han-Chieh Lin and Jack Wang. Their work appears in journals such as Archives of Biochemistry and Biophysics, Oncotarget, Parallel Computing, Liver International and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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