Hung-Yi Lo
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Computer Science Applications top 10%
- Co-authors
- Hsin‐Min WangShou-De LinJu-Chiang WangTsung‐Hsien ChiangTsung-Ting KuoChih‐Jen LinHsuan-Tien LinHsiang‐Fu Yu
- Topics
- Music and Audio Processing (6 papers)Text and Document Classification Technologies (5 papers)Speech and Audio Processing (4 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on MultimediaIEEE Transactions on Mobile Computing
- Partner nations
- Taiwan
In The Last Decade
Hung-Yi Lo
15 papers receiving 283 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 220
- Computer Vision and Pattern Recognition 75
- Information Systems 72
- Signal Processing 62
- Computer Science Applications 34
Countries citing papers authored by Hung-Yi Lo
This map shows the geographic impact of Hung-Yi Lo'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 Hung-Yi Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Yi Lo more than expected).
Fields of papers citing papers by Hung-Yi Lo
This network shows the impact of papers produced by Hung-Yi Lo. 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 Hung-Yi Lo. The network helps show where Hung-Yi Lo may publish in the future.
Co-authorship network of co-authors of Hung-Yi Lo
This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Yi Lo. A scholar is included among the top collaborators of Hung-Yi Lo 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 Hung-Yi Lo. Hung-Yi Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| 3 | A Ranking-based KNN Approach for Multi-Label Classification | 26 |
| 4 | 2 | |
| 5 | 65 | |
| 6 | 14 | |
| 7 | 2 | |
| 8 | Feature Engineering and Classifier Ensemble for KDD Cup 2010 | 89 |
| 9 | 15 | |
| 10 | 2 | |
| 11 | An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes | 11 |
| 12 | 2 | |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 18 |
About Hung-Yi Lo
Hung-Yi Lo is a scholar working on Signal Processing, Artificial Intelligence and Health Information Management, having authored 15 papers that have together received 304 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Text and Document Classification Technologies (5 papers) and Speech and Audio Processing (4 papers). The work is most often cited by research in Artificial Intelligence (220 citations), Computer Science Applications (34 citations) and Signal Processing (62 citations). Hung-Yi Lo has collaborated with scholars based in Taiwan. Frequent co-authors include Hsin‐Min Wang, Shou-De Lin, Ju-Chiang Wang, Tsung‐Hsien Chiang, Tsung-Ting Kuo, Chih‐Jen Lin, Hsuan-Tien Lin, Hsiang‐Fu Yu, Che‐Wei Chang and Yu-Shi Lin. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia and IEEE Transactions on Mobile Computing.
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.