Wei‐Chun Chen
- Molecular Biology
- Industrial and Manufacturing Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Strategy and Management top 10%
- Management Information Systems top 10%
- Co-authors
- Yu‐Hao LinWei‐Lung MaoChien‐Tsung WangBo LiPengwen HouHaris Imam Karim FathurrahmanJin‐Ching LeeXiao Chang
- Topics
- Lung Cancer Diagnosis and Treatment (5 papers)Lung Cancer Treatments and Mutations (4 papers)Asthma and respiratory diseases (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsStrategy and Management
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wei‐Chun Chen
44 papers receiving 780 citations
Peers
Comparison fields: 5 of 132
- Molecular Biology 208
- Industrial and Manufacturing Engineering 143
- Computer Vision and Pattern Recognition 112
- Strategy and Management 95
- Management Information Systems 70
Countries citing papers authored by Wei‐Chun Chen
This map shows the geographic impact of Wei‐Chun Chen'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‐Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Chun Chen more than expected).
Fields of papers citing papers by Wei‐Chun Chen
This network shows the impact of papers produced by Wei‐Chun Chen. 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‐Chun Chen. The network helps show where Wei‐Chun Chen may publish in the future.
Co-authorship network of co-authors of Wei‐Chun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Chun Chen. A scholar is included among the top collaborators of Wei‐Chun Chen 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 Wei‐Chun Chen. Wei‐Chun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 8 | |
| 15 | 2 | |
| 16 | 44 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 25 | |
| 20 | 30 |
About Wei‐Chun Chen
Wei‐Chun Chen is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Management Information Systems, having authored 48 papers that have together received 793 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Lung Cancer Treatments and Mutations (4 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (143 citations), Management Information Systems (70 citations) and Strategy and Management (95 citations). Wei‐Chun Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yu‐Hao Lin, Wei‐Lung Mao, Chien‐Tsung Wang, Bo Li, Pengwen Hou, Haris Imam Karim Fathurrahman, Jin‐Ching Lee, Xiao Chang, Xue Chen and Sheng-Hsien Chen. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Analytical Chemistry.
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.