Yu‐Chia Hsu

495 citations
25 papers · 372 indexed · h-index 8
Topics
Stock Market Forecasting Methods (7 papers)Metaheuristic Optimization Algorithms Research (4 papers)Complex Systems and Time Series Analysis (3 papers)

In The Last Decade

Yu‐Chia Hsu

19 papers receiving 353 citations

Peers

Yu‐Chia Hsu
Comparison fields: 5 of 91
  • Pulmonary and Respiratory Medicine 167
  • Oncology 126
  • Cancer Research 57
  • Food Science 53
  • Media Technology 43
Replace Martin A. Koschat with:
Martin A. Koschat United States
Sijia Guo China
Mihai Géorgescu Romania
Vivek Patkar United Kingdom
Ulrich Sax Germany
Tae Hun Kim South Korea
Qiannan Zhu China
Dong Shao China
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Yu‐Chia Hsu relative to Martin A. Koschat United States Martin A. Koschat's profile →
Citations per field
00.5×10.6×
Martin A. Koschat · 1×
Citations per year

Countries citing papers authored by Yu‐Chia Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Chia Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Chia Hsu. 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 Yu‐Chia Hsu. The network helps show where Yu‐Chia Hsu may publish in the future.

Co-authorship network of co-authors of Yu‐Chia Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chia Hsu. A scholar is included among the top collaborators of Yu‐Chia Hsu 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 Yu‐Chia Hsu. Yu‐Chia Hsu 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 0
2 0
3 7
4 25
5 0
6 7
7 6
8 179
9
Validation Test Report for Delft3D
2
10 12
11 13
12 3
13 71
14 0
15 23
16 0
17 2
18 3
19
Wave Model Validation for the Northern Gulf of Mexico Littoral Initiative (NGLI) Project
2
20
Improvement and Validation of the Navy Longshore Current Model
1

About Yu‐Chia Hsu

Yu‐Chia Hsu is a scholar working on Family Practice, Management Science and Operations Research and Geriatrics and Gerontology, having authored 25 papers that have together received 372 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (7 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (167 citations), Media Technology (43 citations) and Oncology (126 citations). Yu‐Chia Hsu has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include An‐Pin Chen, Chun‐Hung Wang, Yih‐Leong Chang, Pan‐Chyr Yang, Jin‐Yuan Shih, Chen‐Tu Wu, Chong‐Jen Yu, Yi‐Chia Lee, Chien‐Hung Gow and James Chih‐Hsin Yang. Their work appears in journals such as American Journal of Epidemiology, Annals of Oncology and Expert Systems with Applications.

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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