Xiaodan Hou
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
Papers in
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- Ubiquitin and proteasome pathways 4
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- Advanced Steganography and Watermarking Techniques 13
- Digital Media Forensic Detection 13
- Chaos-based Image/Signal Encryption 3
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- Jun Mi (3 shared papers)Daoxiang Zhang (2 shared papers)Zhimin Shi (1 shared paper)Shimin Zhao (1 shared paper)Pan Sun (1 shared paper)Jian Zhang (1 shared paper)Yong‐Bin Wang (1 shared paper)Binhua P. Zhou (1 shared paper)
- Journals
- Separation Science and Technology (2 papers)Signal Processing Image Communication (2 papers)Molecular Neurobiology (2 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaodan Hou
28 papers receiving 742 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 307
- Oncology 218
- Molecular Biology 484
- Computer Vision and Pattern Recognition 80
- Immunology 79
Countries citing papers authored by Xiaodan Hou
This map shows the geographic impact of Xiaodan 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 Xiaodan Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Hou more than expected).
Fields of papers citing papers by Xiaodan Hou
This network shows the impact of papers produced by Xiaodan 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 Xiaodan Hou. The network helps show where Xiaodan Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaodan 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 265 | |
| 2 | 2013 | 158 | |
| 3 | 2019 | 59 | |
| 4 | 2019 | 44 | |
| 5 | 2021 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2017 | 18 | |
| 8 | 2014 | 18 | |
| 9 | 2016 | 17 | |
| 10 | 2008 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2012 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2013 | 13 | |
| 15 | 2017 | 13 | |
| 16 | 2009 | 10 | |
| 17 | 2012 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2016 | 4 |
About Xiaodan Hou
Xiaodan Hou is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Cancer Research, Artificial Intelligence and Oncology, having authored 31 papers that have together received 758 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Digital Media Forensic Detection (13 papers), Ubiquitin and proteasome pathways (4 papers), Chaos-based Image/Signal Encryption (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Anomaly Detection Techniques and Applications (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (307 citations), Oncology (218 citations), Molecular Biology (484 citations), Computer Vision and Pattern Recognition (80 citations) and Immunology (79 citations). Xiaodan Hou has collaborated with scholars based in China and United States. Frequent co-authors include Jun Mi, Daoxiang Zhang, Zhimin Shi, Shimin Zhao, Pan Sun, Jian Zhang, Yong‐Bin Wang, Binhua P. Zhou, Jinyi Liu and Wujun Xiong. Their work appears in journals such as Separation Science and Technology, Signal Processing Image Communication, Molecular Neurobiology, Molecular Cancer Therapeutics and Scientific Reports.
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.