Lun‐Wei Ku

147 total papers · 2.6k total citations
81 papers, 1.4k citations indexed

About

Lun‐Wei Ku is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lun‐Wei Ku has authored 81 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 14 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lun‐Wei Ku's work include Topic Modeling (53 papers), Sentiment Analysis and Opinion Mining (38 papers) and Advanced Text Analysis Techniques (30 papers). Lun‐Wei Ku is often cited by papers focused on Topic Modeling (53 papers), Sentiment Analysis and Opinion Mining (38 papers) and Advanced Text Analysis Techniques (30 papers). Lun‐Wei Ku collaborates with scholars based in Taiwan, United States and Singapore. Lun‐Wei Ku's co-authors include Hsin‐Hsi Chen, Yuting Liang, Soujanya Poria, Alexander Gelbukh, Erik Cambria, Chen Gui, Yohei Seki, Noriko Kando, Wei-Fan Chen and David K. Evans and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Lun‐Wei Ku

79 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Lun‐Wei Ku 1.2k 283 177 77 76 81 1.4k
Andrés Montoyo 1.2k 1.0× 266 0.9× 119 0.7× 64 0.8× 36 0.5× 115 1.4k
Jin‐Cheon Na 753 0.6× 238 0.8× 237 1.3× 51 0.7× 60 0.8× 64 1.1k
Jim Blythe 676 0.5× 382 1.3× 133 0.8× 55 0.7× 99 1.3× 72 1.2k
Eugenio Martínez‐Cámara 1.4k 1.1× 359 1.3× 289 1.6× 98 1.3× 53 0.7× 68 1.8k
Yanghui Rao 789 0.6× 254 0.9× 85 0.5× 73 0.9× 97 1.3× 87 1.1k
Isabelle Augenstein 1.3k 1.1× 300 1.1× 376 2.1× 87 1.1× 130 1.7× 83 1.6k
Alexandra Balahur 1.4k 1.1× 271 1.0× 165 0.9× 64 0.8× 46 0.6× 62 1.6k
Wanli Zuo 998 0.8× 478 1.7× 169 1.0× 148 1.9× 124 1.6× 127 1.5k
Jacqueline Bourdeau 632 0.5× 444 1.6× 121 0.7× 87 1.1× 118 1.6× 38 1.1k
Rui Xia 1.4k 1.2× 272 1.0× 147 0.8× 61 0.8× 135 1.8× 46 1.7k

Countries citing papers authored by Lun‐Wei Ku

Since Specialization
Citations

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

Fields of papers citing papers by Lun‐Wei Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lun‐Wei Ku. 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 Lun‐Wei Ku. The network helps show where Lun‐Wei Ku may publish in the future.

Co-authorship network of co-authors of Lun‐Wei Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Lun‐Wei Ku. A scholar is included among the top collaborators of Lun‐Wei Ku 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 Lun‐Wei Ku. Lun‐Wei Ku 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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2026