Hao Ni
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Handwritten Text Recognition Techniques
- Health Informatics top 10%
Papers in
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- Image and Signal Denoising Methods 5
- Advanced Image Processing Techniques 4
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- Speech Recognition and Synthesis 6
- Co-authors
- Michael P. McCluskey (1 shared paper)Lixuan Huang (1 shared paper)Robert A. LaRossa (1 shared paper)Terry Lyons (9 shared papers)Jingkuan Song (3 shared papers)Lianwen Jin (4 shared papers)Heng Tao Shen (2 shared papers)Hui‐Shan Guo (2 shared papers)
- Journals
- Human Pathology (2 papers)Postgraduate Medical Journal (2 papers)Journal of Functional Analysis (2 papers)Electronic Communications in Probability (2 papers)Advanced Materials (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hao Ni
65 papers receiving 954 citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 262
- Health Informatics 15
- Signal Processing 88
- Renewable Energy, Sustainability and the Environment 104
- Media Technology 41
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 163 | |
| 2 | 2017 | 104 | |
| 3 | 2017 | 77 | |
| 4 | 2020 | 69 | |
| 5 | 2020 | 59 | |
| 6 | 2022 | 58 | |
| 7 | 2023 | 52 | |
| 8 | 2020 | 32 | |
| 9 | 2016 | 29 | |
| 10 | 2017 | 24 | |
| 11 | Leveraging the Path Signature for Skeleton-based Human Action Recognition. | 2017 | 18 |
| 12 | 2017 | 18 | |
| 13 | 2014 | 17 | |
| 14 | 2016 | 17 | |
| 15 | 2024 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2023 | 12 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 12 | |
| 20 | 2018 | 9 |
About Hao Ni
Hao Ni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Molecular Biology and Biomedical Engineering, having authored 76 papers that have together received 971 indexed citations. Recurring topics across this work include Music and Audio Processing (9 papers), Gait Recognition and Analysis (6 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), Image and Signal Denoising Methods (5 papers), Stochastic processes and financial applications (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Health Informatics (15 citations), Signal Processing (88 citations), Renewable Energy, Sustainability and the Environment (104 citations) and Media Technology (41 citations). Hao Ni has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Michael P. McCluskey, Lixuan Huang, Robert A. LaRossa, Terry Lyons, Jingkuan Song, Lianwen Jin, Heng Tao Shen, Hui‐Shan Guo, Zecheng Xie and Zenghui Sun. Their work appears in journals such as Human Pathology, Postgraduate Medical Journal, Journal of Functional Analysis, Electronic Communications in Probability and Advanced Materials.
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.