Lun‐Wei Ku

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, Alexander Gelbukh, Soujanya Poria, Chen Gui, Erik Cambria, Noriko Kando, Yohei Seki, 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lun‐Wei Ku Taiwan 19 1.2k 283 177 78 77 81 1.4k
Arturo Montejo‐Ráez Spain 13 732 0.6× 266 0.9× 147 0.8× 62 0.8× 68 0.9× 58 968
Jeonghee Yi United States 9 771 0.6× 332 1.2× 126 0.7× 65 0.8× 45 0.6× 12 1.0k
Kumar Ravi India 14 881 0.7× 303 1.1× 203 1.1× 59 0.8× 36 0.5× 28 1.3k
Andrés Montoyo Spain 18 1.2k 0.9× 247 0.9× 113 0.6× 64 0.8× 32 0.4× 113 1.4k
Alexandra Balahur Spain 21 1.4k 1.1× 270 1.0× 163 0.9× 64 0.8× 48 0.6× 62 1.6k
Dani Yogatama United States 17 1.5k 1.2× 211 0.7× 93 0.5× 57 0.7× 205 2.7× 30 1.8k
Isabelle Augenstein Denmark 22 1.3k 1.1× 308 1.1× 386 2.2× 87 1.1× 138 1.8× 88 1.6k
Jacqueline Bourdeau Canada 10 526 0.4× 419 1.5× 120 0.7× 88 1.1× 109 1.4× 37 923
Óscar Araque Spain 11 752 0.6× 298 1.1× 282 1.6× 35 0.4× 34 0.4× 29 998

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

20 of 20 papers shown
1.
Xiong, Aiping, et al.. (2024). Enhancing Perception: Refining Explanations of News Claims with LLM Conversations. 2129–2147. 1 indexed citations
2.
Hsu, Chao-Chun, et al.. (2021). End-to-End Recurrent Cross-Modality Attention for Video Dialogue. IEEE/ACM Transactions on Audio Speech and Language Processing. 29. 2456–2464. 2 indexed citations
3.
4.
Ray, Soumya, et al.. (2021). Beyond Fair Pay: Ethical Implications of NLP Crowdsourcing. 3758–3769. 35 indexed citations
5.
Huang, Ting, et al.. (2016). Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush. arXiv (Cornell University). 141–145. 2 indexed citations
6.
Wang, Wei-Chung, et al.. (2016). Whose Nickname is This? Recognizing Politicians from Their Aliases. International Conference on Computational Linguistics. 61–69. 2 indexed citations
7.
Chen, Wei-Fan, et al.. (2016). WordForce: Visualizing Controversial Words in Debates. International Conference on Computational Linguistics. 273–277. 5 indexed citations
8.
Ku, Lun‐Wei & Wei-Fan Chen. (2016). Chinese Textual Sentiment Analysis: Datasets, Resources and Tools. International Conference on Computational Linguistics. 5–8. 1 indexed citations
9.
Chen, Wei-Fan & Lun‐Wei Ku. (2016). UTCNN: a Deep Learning Model of Stance Classification on Social Media Text. International Conference on Computational Linguistics. 1635–1645. 32 indexed citations
10.
Chen, Wei-Fan, et al.. (2015). Mining Supportive and Unsupportive Evidence from Facebook Using Anti-Reconstruction of the Nuclear Power Plant as an Example. National Conference on Artificial Intelligence. 2 indexed citations
11.
Ku, Lun‐Wei, et al.. (2014). Recognizing Textual Entailment using Lexical, Syntactical, and Semantic Information. NTCIR. 1 indexed citations
12.
Liu, Yucheng & Lun‐Wei Ku. (2014). CLEFeHealth 2014 Normalization of Information Extraction Challenge using Multi-model method. CLEF (Working Notes). 124–132. 1 indexed citations
13.
Ku, Lun‐Wei, et al.. (2013). Disease Detection and Symptom Tracking by Retrieving Information from the Web. National Conference on Artificial Intelligence. 1 indexed citations
14.
Ku, Lun‐Wei, et al.. (2012). Demonstration of IlluMe: Creating Ambient According to Instant Message Logs. Meeting of the Association for Computational Linguistics. 97–102. 2 indexed citations
15.
Seki, Yohei, et al.. (2010). Overview of Multilingual Opinion Analysis Task at NTCIR-8: A Step Toward Cross Lingual Opinion Analysis.. NTCIR. 209–220. 23 indexed citations
16.
Huang, Ting, Lun‐Wei Ku, & Hsin‐Hsi Chen. (2010). Predicting Morphological Types of Chinese Bi-Character Words by Machine Learning Approaches.. Language Resources and Evaluation. 844–850. 1 indexed citations
17.
Ku, Lun‐Wei, Yuting Liang, & Hsin‐Hsi Chen. (2007). Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems. International Conference on Computational Linguistics. 177–189. 6 indexed citations
18.
Ku, Lun‐Wei, et al.. (2006). Novel relationship discovery using opinions mined from the web. National Conference on Artificial Intelligence. 1357–1362. 7 indexed citations
19.
Ku, Lun‐Wei, Yuting Liang, & Hsin‐Hsi Chen. (2006). Opinion Extraction, Summarization and Tracking in News and Blog Corpora.. National Conference on Artificial Intelligence. 100–107. 311 indexed citations
20.
Ku, Lun‐Wei, et al.. (2005). Construction of an Evaluation Corpus for Opinion Extraction. NTCIR. 11 indexed citations

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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