Lu Hou
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Signal Processing top 10%
- Time Series Analysis and Forecasting
Papers in
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- Topic Modeling 5
- Natural Language Processing Techniques 3
- Domain Adaptation and Few-Shot Learning 2
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- Multimodal Machine Learning Applications 3
- Advanced Neural Network Applications 2
- Image Retrieval and Classification Techniques 2
- Co-authors
- James T. Kwok (3 shared papers)Jacek M. Żurada (1 shared paper)Quanming Yao (1 shared paper)Dandan Jia (1 shared paper)Lei Xi (1 shared paper)Zhenjun Tian (1 shared paper)Lifeng Shang (3 shared papers)Wenjie Wang (1 shared paper)
In The Last Decade
Lu Hou
27 papers receiving 380 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 119
- Signal Processing 53
- Artificial Intelligence 142
- Cardiology and Cardiovascular Medicine 38
- Complementary and alternative medicine 13
Countries citing papers authored by Lu Hou
This map shows the geographic impact of Lu Hou'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 Lu Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Hou more than expected).
Fields of papers citing papers by Lu Hou
This network shows the impact of papers produced by Lu Hou. 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 Lu Hou. The network helps show where Lu Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu Hou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 72 | |
| 2 | 2016 | 52 | |
| 3 | Loss-aware Binarization of Deep Networks | 2016 | 49 |
| 4 | 2018 | 41 | |
| 5 | 2022 | 41 | |
| 6 | 2009 | 23 | |
| 7 | Loss-aware Weight Quantization of Deep Networks. | 2018 | 19 |
| 8 | 2024 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 9 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Lu Hou
Lu Hou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 30 papers that have together received 390 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers), Multimodal Machine Learning Applications (3 papers), Recommender Systems and Techniques (3 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (119 citations), Signal Processing (53 citations), Artificial Intelligence (142 citations), Cardiology and Cardiovascular Medicine (38 citations) and Complementary and alternative medicine (13 citations). Lu Hou has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include James T. Kwok, Jacek M. Żurada, Quanming Yao, Dandan Jia, Lei Xi, Zhenjun Tian, Lifeng Shang, Wenjie Wang, Wenliang Dai and Pascale Fung. Their work appears in journals such as Frontiers in Oncology, Advances in Radiation Oncology, Horticultural Plant Journal, ACM Transactions on Information Systems and European Food Research and Technology.
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.