Jiang‐Liang Hou

61 total papers · 627 total citations
42 papers, 446 citations indexed

About

Jiang‐Liang Hou is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Jiang‐Liang Hou has authored 42 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 13 papers in Artificial Intelligence and 9 papers in Management Information Systems. Recurrent topics in Jiang‐Liang Hou's work include Advanced Text Analysis Techniques (8 papers), Text and Document Classification Technologies (4 papers) and Manufacturing Process and Optimization (4 papers). Jiang‐Liang Hou is often cited by papers focused on Advanced Text Analysis Techniques (8 papers), Text and Document Classification Technologies (4 papers) and Manufacturing Process and Optimization (4 papers). Jiang‐Liang Hou collaborates with scholars based in Taiwan, France and Canada. Jiang‐Liang Hou's co-authors include Chih‐Hao Huang, Amy J.C. Trappey, Fong‐Jung Yu, Charles V. Trappey, Chen–Fu Chien, Angéla Barthes, Weiming Shen, Junzhou Luo, Chien‐Wei Wu and Chung-Shou Liao and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Research and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Jiang‐Liang Hou

41 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Jiang‐Liang Hou 136 100 78 66 64 42 446
Aitor Goti 128 0.9× 53 0.5× 23 0.3× 21 0.3× 38 0.6× 48 413
Ying Tat Leung 202 1.5× 191 1.9× 125 1.6× 30 0.5× 30 0.5× 22 475
Stefano Saetta 120 0.9× 122 1.2× 40 0.5× 15 0.2× 12 0.2× 30 438
Samiul Islam 47 0.3× 115 1.1× 18 0.2× 66 1.0× 40 0.6× 48 443
Félix Larrinaga 145 1.1× 78 0.8× 16 0.2× 63 1.0× 79 1.2× 45 495
Yingcheng Xu 71 0.5× 34 0.3× 32 0.4× 82 1.2× 66 1.0× 43 462
Csaba Hegedűs 154 1.1× 30 0.3× 18 0.2× 32 0.5× 108 1.7× 36 398
Carlos Costa 127 0.9× 168 1.7× 33 0.4× 53 0.8× 122 1.9× 23 496
Pradyumna Kumar Tripathy 45 0.3× 93 0.9× 21 0.3× 34 0.5× 54 0.8× 41 402
Arpit Singh 71 0.5× 104 1.0× 8 0.1× 74 1.1× 32 0.5× 31 426

Countries citing papers authored by Jiang‐Liang Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jiang‐Liang Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang‐Liang Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang‐Liang Hou. A scholar is included among the top collaborators of Jiang‐Liang 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 Jiang‐Liang Hou. Jiang‐Liang 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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