Yo‐Ping Huang
- Artificial Intelligence top 5%
- Environmental Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Frode Eika SandnesPritpal SinghSatheesh AbimannanHsin‐Ta ChiaoYue‐Shan ChangYi-Ting TsaiKuan-Ming LinTsu‐Tian Lee
- Topics
- Fuzzy Logic and Control Systems (22 papers)Rough Sets and Fuzzy Logic (14 papers)Data Mining Algorithms and Applications (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- TaiwanNorwayUnited States
In The Last Decade
Yo‐Ping Huang
140 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Artificial Intelligence 318
- Environmental Engineering 273
- Computer Vision and Pattern Recognition 258
- Management Science and Operations Research 187
- Health, Toxicology and Mutagenesis 186
Countries citing papers authored by Yo‐Ping Huang
This map shows the geographic impact of Yo‐Ping Huang'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 Yo‐Ping Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo‐Ping Huang more than expected).
Fields of papers citing papers by Yo‐Ping Huang
This network shows the impact of papers produced by Yo‐Ping Huang. 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 Yo‐Ping Huang. The network helps show where Yo‐Ping Huang may publish in the future.
Co-authorship network of co-authors of Yo‐Ping Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yo‐Ping Huang. A scholar is included among the top collaborators of Yo‐Ping Huang 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 Yo‐Ping Huang. Yo‐Ping Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Reviewbreakdown → | 23 |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 7 | |
| 9 | 37 | |
| 10 | 6 | |
| 11 | 3 | |
| 12 | 20 | |
| 13 | 27 | |
| 14 | 12 | |
| 15 | Predicting Ocean Salinity and Temperature Variations Using Data Mining and Fuzzy Inference | 10 |
| 16 | 11 | |
| 17 | 1 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 0 |
About Yo‐Ping Huang
Yo‐Ping Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 156 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (22 papers), Rough Sets and Fuzzy Logic (14 papers) and Data Mining Algorithms and Applications (13 papers). The work is most often cited by research in Environmental Engineering (273 citations), Developmental Biology (41 citations) and Management Science and Operations Research (187 citations). Yo‐Ping Huang has collaborated with scholars based in Taiwan, Norway and United States. Frequent co-authors include Frode Eika Sandnes, Pritpal Singh, Satheesh Abimannan, Hsin‐Ta Chiao, Yue‐Shan Chang, Yi-Ting Tsai, Kuan-Ming Lin, Tsu‐Tian Lee, Seiji Yasunobu and Shen‐Ing Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.