Tung‐Hsu Hou

23 total papers · 742 total citations
20 papers, 544 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 544 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), Advanced machining processes and optimization (3 papers) and Image Processing and 3D Reconstruction (3 papers). Tung‐Hsu Hou is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Advanced machining processes and optimization (3 papers) and Image Processing and 3D Reconstruction (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, Yen‐Sheng Chen and Yu‐Cheng Pei 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 500 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tung‐Hsu Hou	158	121	73	60	49	20	544
Jonathan M. Aitken	60 0.4×	78 0.6×	39 0.5×	17 0.3×	99 2.0×	40	489
Yue Yin	41 0.3×	110 0.9×	42 0.6×	18 0.3×	62 1.3×	18	542
Lei Wang	39 0.2×	197 1.6×	110 1.5×	12 0.2×	85 1.7×	49	604
L. Haynes	181 1.1×	40 0.3×	40 0.5×	19 0.3×	58 1.2×	31	569
Xiaoxia Han	32 0.2×	27 0.2×	68 0.9×	16 0.3×	111 2.3×	40	505
Yves Beauchamp	289 1.8×	76 0.6×	145 2.0×	16 0.3×	8 0.2×	33	499
Farhad Ahamed	17 0.1×	92 0.8×	34 0.5×	19 0.3×	88 1.8×	37	594
José L. Zayas‐Castro	66 0.4×	58 0.5×	8 0.1×	39 0.7×	14 0.3×	31	492
Stewart Greenhill	53 0.3×	29 0.2×	82 1.1×	6 0.1×	116 2.4×	23	586
Omar Ashour	77 0.5×	78 0.6×	9 0.1×	8 0.1×	62 1.3×	58	577

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

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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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