Ying‐Jen Chen

654 citations
32 papers · 525 indexed · h-index 13

Ying‐Jen Chen

32 papers receiving 517 citations

Peers

Ying‐Jen Chen
Comparison fields: 5 of 103
  • Industrial and Manufacturing Engineering 288
  • Statistics, Probability and Uncertainty 70
  • Management Information Systems 57
  • Media Technology 25
  • Management Science and Operations Research 28
Replace Chunghun Ha with:
Chunghun Ha South Korea
Chih-Hsuan Wang Taiwan
Chih‐Ming Hsu Taiwan
Armin Shmilovici Israel
Marta Flamini Italy
Mikkel T. Jensen Denmark
C. Ou-Yang China
Xinhui Zhang China
Philip Doganis Greece
Xufeng Yao China
Ying‐Jen Chen relative to Chunghun Ha South Korea Chunghun Ha's profile →
Citations per field
00.5×3.7×
Chunghun Ha · 1×
Citations per year

Countries citing papers authored by Ying‐Jen Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Ying‐Jen Chen, 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 Ying‐Jen Chen Line = papers co-authored together Ying‐Jen Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202310
2 202021
3 20207
4 202022
5 201920
6
Web API Discovery Using Semantic Similarity and Hungarian Algorithm
20183
7 20186
8 201833
9 201710
10 201763
11 20164
12 20164
13 20166
14 201510
15 201430
16 201344
17 201315
18 201111
19
Longer Tenure, Greater Seniority, or Both? Evidence from Open-End Equity Mutual Fund Managers in Taiwan
200810
20 20023

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), Manufacturing Process and Optimization (6 papers), Building Energy and Comfort Optimization (3 papers), Fault Detection and Control Systems (3 papers), Image and Object Detection Techniques (3 papers), Scheduling and Optimization Algorithms (3 papers) and Advanced Measurement and Metrology Techniques (2 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.

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