Hao Ni
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Handwritten Text Recognition Techniques
- Signal Processing top 10%
Papers in
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- Human Pose and Action Recognition 7
- Handwritten Text Recognition Techniques 6
- Image and Signal Denoising Methods 5
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- Speech Recognition and Synthesis 7
- Co-authors
- Lixuan Huang (1 shared paper)Michael P. McCluskey (1 shared paper)Robert A. LaRossa (1 shared paper)Terry Lyons (11 shared papers)Lianwen Jin (8 shared papers)Jingkuan Song (3 shared papers)Heng Tao Shen (2 shared papers)Zenghui Sun (1 shared paper)
- Journals
- Advanced Materials (2 papers)Postgraduate Medical Journal (2 papers)Human Pathology (2 papers)Journal of Functional Analysis (2 papers)Electronic Communications in Probability (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hao Ni
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 334
- Signal Processing 108
- Health Informatics 12
- Renewable Energy, Sustainability and the Environment 108
- Human-Computer Interaction 38
Countries citing papers authored by Hao Ni
This map shows the geographic impact of Hao Ni'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 Hao Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ni more than expected).
Fields of papers citing papers by Hao Ni
This network shows the impact of papers produced by Hao Ni. 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 Hao Ni. The network helps show where Hao Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ni, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 176 | |
| 2 | 2017 | 112 | |
| 3 | 2017 | 92 | |
| 4 | 2020 | 82 | |
| 5 | 2020 | 69 | |
| 6 | 2022 | 64 | |
| 7 | 2023 | 63 | |
| 8 | 2018 | 35 | |
| 9 | 2020 | 33 | |
| 10 | 2016 | 29 | |
| 11 | 2017 | 24 | |
| 12 | 2014 | 22 | |
| 13 | 2017 | 20 | |
| 14 | Leveraging the Path Signature for Skeleton-based Human Action Recognition. | 2017 | 19 |
| 15 | 2016 | 17 | |
| 16 | 2022 | 17 | |
| 17 | 2018 | 15 | |
| 18 | 2023 | 14 | |
| 19 | 2024 | 14 | |
| 20 | 2018 | 12 |
About Hao Ni
Hao Ni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Biomedical Engineering and Molecular Biology, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Gait Recognition and Analysis (9 papers), Human Pose and Action Recognition (7 papers), Speech Recognition and Synthesis (7 papers), Speech and Audio Processing (7 papers), Handwritten Text Recognition Techniques (6 papers), Image and Signal Denoising Methods (5 papers) and Salivary Gland Tumors Diagnosis and Treatment (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (334 citations), Signal Processing (108 citations), Health Informatics (12 citations), Renewable Energy, Sustainability and the Environment (108 citations) and Human-Computer Interaction (38 citations). Hao Ni has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lixuan Huang, Michael P. McCluskey, Robert A. LaRossa, Terry Lyons, Lianwen Jin, Jingkuan Song, Heng Tao Shen, Zenghui Sun, Zecheng Xie and Łukasz Szpruch. Their work appears in journals such as Advanced Materials, Postgraduate Medical Journal, Human Pathology, Journal of Functional Analysis and Electronic Communications in Probability.
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.