Huihua Yang
Impact in
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
- Video Surveillance and Tracking Methods
- Biophysics top 5%
Papers in
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- Advanced Neural Network Applications 15
- Video Surveillance and Tracking Methods 10
- Medical Image Segmentation Techniques 7
- Multimodal Machine Learning Applications 6
- Biophysics 10
- Spectroscopy Techniques in Biomedical and Chemical Research 10
Huihua Yang
80 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 482
- Biophysics 86
- Analytical Chemistry 114
- Artificial Intelligence 330
- Radiology, Nuclear Medicine and Imaging 239
Countries citing papers authored by Huihua Yang
This map shows the geographic impact of Huihua 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 Huihua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huihua Yang more than expected).
Fields of papers citing papers by Huihua Yang
This network shows the impact of papers produced by Huihua 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 Huihua Yang. The network helps show where Huihua Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Huihua Yang, 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 | 2025 | 1 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 5 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 1 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 7 | |
| 13 | 2023 | 11 | |
| 14 | 2022 | 0 | |
| 15 | Research on Boold Species Identification Algorithm Based on RF_AdaBoost Model | 2020 | 2 |
| 16 | スパース再構成と深い畳込みネットワークによる病理画像における核の正確なセグメンテーション【Powered by NICT】 | 2017 | 0 |
| 17 | 2016 | 1 | |
| 18 | 2007 | 16 | |
| 19 | Optimized Method for Mining Maximum Frequent Itemsets | 2006 | 4 |
| 20 | KICA Model Selection Method with Application to Removing Artifact from EEG | 2006 | 2 |
About Huihua Yang
Huihua Yang is a scholar working on Computer Vision and Pattern Recognition, Biophysics, Analytical Chemistry, Media Technology and Artificial Intelligence, having authored 88 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (15 papers), Spectroscopy and Chemometric Analyses (12 papers), Domain Adaptation and Few-Shot Learning (11 papers), Video Surveillance and Tracking Methods (10 papers), Spectroscopy Techniques in Biomedical and Chemical Research (10 papers), Medical Image Segmentation Techniques (7 papers), Multimodal Machine Learning Applications (6 papers) and Retinal Imaging and Analysis (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (482 citations), Biophysics (86 citations), Analytical Chemistry (114 citations), Artificial Intelligence (330 citations) and Radiology, Nuclear Medicine and Imaging (239 citations). Huihua Yang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lingqiao Li, Xipeng Pan, Zhenbing Liu, Zhiwei Cao, Yongxian Fan, Wenyi Zhao, Weijin Xu, Wentao Liu, Feng Gao and Jinxin Yang. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Knowledge-Based Systems, Medical Image Analysis and Neurocomputing.
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.