Tao Ni
- Human-Computer Interaction top 5%
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- Robotic Path Planning Algorithms 4
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- Robotics and Sensor-Based Localization 6
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- Surfactants and Colloidal Systems 3
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- Industrial Vision Systems and Defect Detection 3
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- Innovations in Concrete and Construction Materials 2
- BIM and Construction Integration 2
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- Soil Mechanics and Vehicle Dynamics 2
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- Robot Manipulation and Learning 2
- Co-authors
- Dingxuan ZhaoDoug A. BowmanJian ChenHironao YAMADAGuangsu HuangPin GaoH. YamadaSongyue Liu
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionAstronomy and Astrophysics
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)IEEE Access (2 papers)
In The Last Decade
Tao Ni
20 papers receiving 309 citations
Peers
Comparison fields: 5 of 80
- Human-Computer Interaction 76
- Computer Vision and Pattern Recognition 67
- Astronomy and Astrophysics 50
- Geology 17
- Automotive Engineering 34
Countries citing papers authored by Tao Ni
This map shows the geographic impact of Tao 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 Tao Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Ni more than expected).
Fields of papers citing papers by Tao Ni
This network shows the impact of papers produced by Tao 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 Tao Ni. The network helps show where Tao Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 65 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 0 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2013 | 28 | |
| 16 | 2011 | 11 | |
| 17 | 2011 | 7 | |
| 18 | 2009 | 31 | |
| 19 | 2009 | 1 | |
| 20 | Increased display size and resolution improve task performance in Information-Rich Virtual Environments | 2006 | 72 |
About Tao Ni
Tao Ni is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 23 papers that have together received 324 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Robotic Path Planning Algorithms (4 papers), Surfactants and Colloidal Systems (3 papers), Industrial Vision Systems and Defect Detection (3 papers), Innovations in Concrete and Construction Materials (2 papers), BIM and Construction Integration (2 papers), Soil Mechanics and Vehicle Dynamics (2 papers) and Robot Manipulation and Learning (2 papers). The work is most often cited by research in Human-Computer Interaction (76 citations), Computer Vision and Pattern Recognition (67 citations) and Astronomy and Astrophysics (50 citations). Tao Ni has collaborated with scholars based in China, Japan and France. Frequent co-authors include Dingxuan Zhao, Doug A. Bowman, Jian Chen, Hironao YAMADA, Guangsu Huang, Pin Gao, H. Yamada, Songyue Liu, Hongyan Zhang and C. X. Yu. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Access.
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.