Tung‐Hsu Hou

745 total citations
20 papers, 547 citations indexed

About

Tung‐Hsu Hou is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Tung‐Hsu Hou has authored 20 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Industrial and Manufacturing Engineering, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Computational Theory and Mathematics. Recurrent topics in Tung‐Hsu Hou's work include Industrial Vision Systems and Defect Detection (5 papers), Image Processing and 3D Reconstruction (3 papers) and Advanced machining processes and optimization (3 papers). Tung‐Hsu Hou is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Image Processing and 3D Reconstruction (3 papers) and Advanced machining processes and optimization (3 papers). Tung‐Hsu Hou collaborates with scholars based in Taiwan and United States. Tung‐Hsu Hou's co-authors include Wanglin Liu, Cecilia Lin, Shu-Hui Wang, Li Lin, Yang‐Kun Ou, Tzu‐Yu Lin, Wen‐Liang Kuo, Shuhui Wang, Yu‐Cheng Pei and Yen‐Sheng Chen and has published in prestigious journals such as Expert Systems with Applications, Powder Technology and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Tung‐Hsu Hou

19 papers receiving 503 citations

Peers

Tung‐Hsu Hou
Comparison fields: 5 of 121
  • Mechanical Engineering 159
  • Industrial and Manufacturing Engineering 122
  • Electrical and Electronic Engineering 74
  • General Health Professions 60
  • Artificial Intelligence 49
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Paul Wood United Kingdom
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Yue Yin China
Susanta Kumar Gauri India
Sharon Kao‐Walter Sweden
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Sangeun Oh South Korea View profile →
Citations per field, relative to Tung‐Hsu Hou
Tung‐Hsu Hou · 1×
Citations per year, relative to Tung‐Hsu Hou
Tung‐Hsu Hou · 1×

Countries citing papers authored by Tung‐Hsu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Tung‐Hsu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung‐Hsu Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Tung‐Hsu Hou. A scholar is included among the top collaborators of Tung‐Hsu Hou 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 Tung‐Hsu Hou. Tung‐Hsu Hou 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
# Work Indexed citations
1 4
2 23
3 3
4 2
5 13
6 10
7 27
8 82
9 2
10 14
11 1
12 164
13 44
14 17
15 21
16 56
17 6
18 11
19 8
20 39

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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2026