Yizhen Huang
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- Advanced Image Processing Techniques 7
- Image and Signal Denoising Methods 6
- Digital Media Forensic Detection 6
- Animal Science and Zoology top 5%
- Meat and Animal Product Quality 11
- Media Technology top 5%
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth 3
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- Advanced Chemical Sensor Technologies 5
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- Protein Hydrolysis and Bioactive Peptides 5
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- Proteins in Food Systems 3
- Co-authors
- Xiuping DongYepeng GuanYu LiuNa FanBeiwei ZhuTong QiuKexin BiFeiping Nie
- Journals
- International Journal of Food Science & Technology (3 papers)LWT (3 papers)Multimedia Tools and Applications (3 papers)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Yizhen Huang
50 papers receiving 706 citations
Peers
Comparison fields: 5 of 110
- Computer Vision and Pattern Recognition 273
- Animal Science and Zoology 128
- Media Technology 68
- Aquatic Science 54
- Computational Mathematics 4
Countries citing papers authored by Yizhen Huang
This map shows the geographic impact of Yizhen 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 Yizhen Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yizhen Huang more than expected).
Fields of papers citing papers by Yizhen Huang
This network shows the impact of papers produced by Yizhen 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 Yizhen Huang. The network helps show where Yizhen Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yizhen Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 20 | |
| 12 | 2023 | 6 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 21 | |
| 15 | 2017 | 6 | |
| 16 | 2016 | 11 | |
| 17 | New primal SVM solver with linear computational cost for big data classifications | 2014 | 50 |
| 18 | Linear Time Solver for Primal SVM | 2014 | 8 |
| 19 | 2013 | 13 | |
| 20 | 2009 | 16 |
About Yizhen Huang
Yizhen Huang is a scholar working on Computational Mathematics, Animal Science and Zoology, Computer Vision and Pattern Recognition, Aquatic Science and Media Technology, having authored 52 papers that have together received 729 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (11 papers), Advanced Image Processing Techniques (7 papers), Image and Signal Denoising Methods (6 papers), Digital Media Forensic Detection (6 papers), Advanced Chemical Sensor Technologies (5 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Aquaculture Nutrition and Growth (3 papers) and Proteins in Food Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Animal Science and Zoology (128 citations), Media Technology (68 citations), Aquatic Science (54 citations) and Computational Mathematics (4 citations). Yizhen Huang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Xiuping Dong, Yepeng Guan, Yu Liu, Na Fan, Beiwei Zhu, Tong Qiu, Kexin Bi, Feiping Nie, Heng Huang and Xiaoqian Wang. Their work appears in journals such as International Journal of Food Science & Technology, LWT, Multimedia Tools and Applications, Food Chemistry X and Engineering Applications of Artificial Intelligence.
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.