Ying‐Jen Chen
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Statistics, Probability and Uncertainty top 5%
- Management Information Systems top 10%
- Mechanical Engineering
- Co-authors
- Chen–Fu ChienMarzieh KhakifiroozChia‐Yu HsuKuo-Hao ChangYi‐Chia WuFrank VollmerJei‐Zheng WuHsiu‐Chuan Chou
- Topics
- Industrial Vision Systems and Defect Detection (13 papers)Advanced Statistical Process Monitoring (6 papers)Manufacturing Process and Optimization (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyManagement Information Systems
- Partner nations
- TaiwanUnited StatesMexico
In The Last Decade
Ying‐Jen Chen
32 papers receiving 517 citations
Peers
Comparison fields: 5 of 103
- Industrial and Manufacturing Engineering 288
- Electrical and Electronic Engineering 109
- Statistics, Probability and Uncertainty 70
- Management Information Systems 57
- Mechanical Engineering 51
Countries citing papers authored by Ying‐Jen Chen
This map shows the geographic impact of Ying‐Jen 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 Ying‐Jen Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Jen Chen more than expected).
Fields of papers citing papers by Ying‐Jen Chen
This network shows the impact of papers produced by Ying‐Jen 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 Ying‐Jen Chen. The network helps show where Ying‐Jen Chen may publish in the future.
Co-authorship network of co-authors of Ying‐Jen Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Jen Chen. A scholar is included among the top collaborators of Ying‐Jen 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 Ying‐Jen Chen. Ying‐Jen 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 | 10 | |
| 2 | 21 | |
| 3 | 7 | |
| 4 | 22 | |
| 5 | 20 | |
| 6 | Web API Discovery Using Semantic Similarity and Hungarian Algorithm | 3 |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 10 | |
| 10 | 63 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 30 | |
| 16 | 44 | |
| 17 | 15 | |
| 18 | 11 | |
| 19 | Longer Tenure, Greater Seniority, or Both? Evidence from Open-End Equity Mutual Fund Managers in Taiwan | 10 |
| 20 | 3 |
About Ying‐Jen Chen
Ying‐Jen Chen is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Aging, having authored 32 papers that have together received 525 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (13 papers), Advanced Statistical Process Monitoring (6 papers) and Manufacturing Process and Optimization (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (288 citations), Statistics, Probability and Uncertainty (70 citations) and Management Information Systems (57 citations). Ying‐Jen Chen has collaborated with scholars based in Taiwan, United States and Mexico. Frequent co-authors include Chen–Fu Chien, Marzieh Khakifirooz, Chia‐Yu Hsu, Kuo-Hao Chang, Yi‐Chia Wu, Frank Vollmer, Jei‐Zheng Wu, Hsiu‐Chuan Chou, Hong‐Lin Chan and En‐Chi Liao. Their work appears in journals such as Small, Archives of Biochemistry and Biophysics and Life 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.