Kuo-Hsien Wang

615 citations
18 papers · 459 indexed · h-index 7

Kuo-Hsien Wang

17 papers receiving 417 citations

Peers

Kuo-Hsien Wang
Comparison fields: 5 of 85
  • Dermatology 202
  • Pharmaceutical Science 81
  • Biochemistry 75
  • Cell Biology 126
  • Insect Science 51
Replace Maria Karolin Streubel with:
Maria Karolin Streubel Austria
Sangjin Kang South Korea
Swarna Ekanayake‐Mudiyanselage Germany
Liyang Kang China
R. Blaudschun Germany
Federica Papaccio Italy
Matthias Schauen Germany
Christian Meewes Germany
Won-Seok Park South Korea
Mao Lin China
Kuo-Hsien Wang relative to Maria Karolin Streubel Austria Maria Karolin Streubel's profile →
Citations per field
00.5×1.5×2.2×
Maria Karolin Streubel · 1×
Citations per year

Countries citing papers authored by Kuo-Hsien Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Hsien Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo-Hsien Wang. 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 Kuo-Hsien Wang. The network helps show where Kuo-Hsien Wang may publish in the future.

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202234
2 20194
3 20163
4 20162
5 20152
6 20143
7 201331
8 201115
9 20104
10 20106
11 20102
12
Construct a Demand Function Toward EOQ Model for Single-Period Products
20101
13 20095
14 20091
15 200813
16 2006194
17 200422
18 2003117

About Kuo-Hsien Wang

Kuo-Hsien Wang is a scholar working on Management Information Systems, Dermatology and Strategy and Management, having authored 18 papers that have together received 459 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (8 papers), Sustainable Supply Chain Management (6 papers), Product Development and Customization (2 papers), Innovation Diffusion and Forecasting (2 papers), Cancer and Skin Lesions (2 papers), Dermatologic Treatments and Research (2 papers), Skin Protection and Aging (2 papers) and Psoriasis: Treatment and Pathogenesis (2 papers). The work is most often cited by research in Dermatology (202 citations), Pharmaceutical Science (81 citations) and Biochemistry (75 citations). Kuo-Hsien Wang has collaborated with scholars based in Taiwan. Frequent co-authors include W. Robert Lee, Jia‐You Fang, Hsien‐Chang Chang, Yen‐Hua Huang, Ching-Yi Huang, Feng‐Lin Hsu, Rong‐Dih Lin, Mei‐Hsien Lee, Chung‐Hong Hu and Shing‐Chuan Shen. Their work appears in journals such as Journal of the American Academy of Dermatology, Asia Pacific Management Review, The Breast Journal, Journal of Investigative Dermatology and International Journal of Molecular Sciences.

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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