Changhua Yang

692 total citations
17 papers, 439 citations indexed

About

Changhua Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Changhua Yang has authored 17 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Information Systems. Recurrent topics in Changhua Yang's work include Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Changhua Yang is often cited by papers focused on Sentiment Analysis and Opinion Mining (7 papers), Topic Modeling (6 papers) and Text and Document Classification Technologies (5 papers). Changhua Yang collaborates with scholars based in Taiwan, China and Canada. Changhua Yang's co-authors include Hsin‐Hsi Chen, Kevin Lin, Ying Lin, Weihao Lin, Chu‐Ren Huang, Jinlong Yang, Yi‐Hsuan Yang, Homer H. Chen, Chien‐Chang Ho and Tien-Lin Wu and has published in prestigious journals such as IET Generation Transmission & Distribution, Journal of the American Society for Information Science and Technology and International Conference on Computational Linguistics.

In The Last Decade

Changhua Yang

16 papers receiving 410 citations

Peers

Changhua Yang
Changhua Yang
Citations per year, relative to Changhua Yang Changhua Yang (= 1×) peers Wenbo Wang

Countries citing papers authored by Changhua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Changhua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changhua Yang. 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 Changhua Yang. The network helps show where Changhua Yang may publish in the future.

Co-authorship network of co-authors of Changhua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Changhua Yang. A scholar is included among the top collaborators of Changhua Yang 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 Changhua Yang. Changhua Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Yang, Changhua, et al.. (2024). Short‐term power prediction of distributed PV based on multi‐scale feature fusion with TPE‐CBiGRU‐SCA. IET Generation Transmission & Distribution. 18(20). 3200–3220. 4 indexed citations
2.
Zheng, Lili, et al.. (2024). Short-term PV Power Prediction Based on TCN-Transformer Model. 437–442. 1 indexed citations
3.
Chang, Hao‐Wei, et al.. (2020). An Embedded Deep Learning Object Detection Model For Traffic In Asian Countries. 1–5. 1 indexed citations
4.
Yang, Changhua, Kevin Lin, & Hsin‐Hsi Chen. (2009). Writer Meets Reader: Emotion Analysis of Social Media from Both the Writer's and Reader's Perspectives. 26 indexed citations
5.
Wu, Tien-Lin, Chien‐Chang Ho, Yuan‐Pin Lin, et al.. (2008). Interactive content presentation based on expressed emotion and physiological feedback. 1009–1010. 4 indexed citations
6.
Lin, Kevin, Changhua Yang, & Hsin‐Hsi Chen. (2008). Emotion Classification of Online News Articles from the Reader's Perspective. 220–226. 87 indexed citations
7.
Yang, Changhua, Kevin Lin, & Hsin‐Hsi Chen. (2008). Sentiment Analysis in Weblog Using Contextual Information: A Machine Learning Approach. 21(4). 331–345. 3 indexed citations
8.
Yang, Changhua, Kevin Lin, & Hsin‐Hsi Chen. (2007). Building emotion lexicon from weblog corpora. 133–133. 92 indexed citations
9.
Lin, Kevin, Changhua Yang, & Hsin‐Hsi Chen. (2007). What emotions do news articles trigger in their readers?. 733–734. 78 indexed citations
10.
Yang, Changhua, Kevin Lin, & Hsin‐Hsi Chen. (2007). Emotion Classification Using Web Blog Corpora. 275–278. 113 indexed citations
11.
Yang, Changhua & Hsin‐Hsi Chen. (2006). 以部落格文本進行情緒分類之研究 (A Study of Emotion Classification Using Blog Articles) [In Chinese]. International Conference on Computational Linguistics. 253–269. 1 indexed citations
12.
Chen, Hsin‐Hsi, et al.. (2006). Translating–transliterating named entities for multilingual information access. Journal of the American Society for Information Science and Technology. 57(5). 645–659. 9 indexed citations
13.
Chen, Hsin‐Hsi, Changhua Yang, & Ying Lin. (2003). Learning formulation and transformation rules for multilingual named entities. 15. 1–8. 15 indexed citations
14.
Huang, Chu‐Ren, et al.. (2002). Induction of classification from lexicon expansion. 11. 1–7. 2 indexed citations
15.
Yang, Changhua, et al.. (2002). The Structure of Polysemy : A Study of Multi-sense Words Based on WordNet. Pacific Asia Conference on Language, Information, and Computation. 320–329. 1 indexed citations
16.
Yang, Changhua, et al.. (2002). Considerations of linking WordNet with MRD. 1. 1–7. 1 indexed citations
17.
Yang, Changhua, et al.. (2000). Online hand-sketched graphics recognition based on attributed relational graph matching. 1 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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