Yingchieh Yeh

21 papers receiving 409 citations

Peers

Yingchieh Yeh
Comparison fields: 5 of 60
  • Control and Systems Engineering 289
  • Computer Vision and Pattern Recognition 212
  • Biomedical Engineering 91
  • Automotive Engineering 46
  • Management Science and Operations Research 44
Replace Ali Doustmohammadi with:
Ali Doustmohammadi Iran
Souhail Dhouib Tunisia
Shuta Murakami Japan
Don Wunsch United States
Feng Xue China
M. Jamshidi United States
Moncef Tagina Tunisia
Runmei Li China
Theja Tulabandhula United States
Gastón Lefranc Chile
Yingchieh Yeh relative to Ali Doustmohammadi Iran Ali Doustmohammadi's profile →
Citations per field
00.5×7.3×
Ali Doustmohammadi · 1×
Citations per year

Countries citing papers authored by Yingchieh Yeh

Since Specialization
Citations

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

Fields of papers citing papers by Yingchieh Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yingchieh Yeh. 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 Yingchieh Yeh. The network helps show where Yingchieh Yeh may publish in the future.

Co-authorship network of co-authors of Yingchieh Yeh

This figure shows the co-authorship network connecting the top 25 collaborators of Yingchieh Yeh. A scholar is included among the top collaborators of Yingchieh Yeh 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 Yingchieh Yeh. Yingchieh Yeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 2
4 2
5 5
6 16
7 0
8 1
9 10
10 13
11 60
12 9
13 162
14 10
15 11
16 3
17 14
18 6
19
Steady-state simulation output analysis: MSE-optimal dynamic batch means with parsimonious storage
5
20 4

About Yingchieh Yeh

Yingchieh Yeh is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Management Information Systems, having authored 22 papers that have together received 433 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Advanced Statistical Process Monitoring (5 papers) and Simulation Techniques and Applications (5 papers). The work is most often cited by research in Control and Systems Engineering (289 citations), Computer Vision and Pattern Recognition (212 citations) and Automotive Engineering (46 citations). Yingchieh Yeh has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Chih‐Yang Chen, Tzuu‐Hseng S. Li, Ming-Ying Hsiao, Bruce W. Schmeiser, B.W. Schmeiser, Gwo‐Ji Sheen, Chih-Yang Chen, Raghu Pasupathy, Gwo-Ji Sheen and Honggang Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, European Journal of Operational Research and International Journal of Production Economics.

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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