Hua Bi
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
Papers in
-
- Glaucoma and retinal disorders 11
-
- Visual perception and processing mechanisms 14
- Neural dynamics and brain function 7
- Co-authors
- Yuzo M. ChinoBin ZhangEarl L. SmithRonald S. HarwerthIchiro MarukoXiaofeng TaoIchiro WatanabeEiichi Sakai
- Journals
- Current Eye Research (6 papers)Investigative Ophthalmology & Visual Science (5 papers)PLoS ONE (4 papers)Journal of Neurophysiology (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hua Bi
42 papers receiving 658 citations
Peers
Comparison fields: 5 of 88
- Ophthalmology 171
- Cognitive Neuroscience 318
- Epidemiology 320
- Radiology, Nuclear Medicine and Imaging 190
- Cellular and Molecular Neuroscience 86
Countries citing papers authored by Hua Bi
This map shows the geographic impact of Hua Bi'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 Hua Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Bi more than expected).
Fields of papers citing papers by Hua Bi
This network shows the impact of papers produced by Hua Bi. 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 Hua Bi. The network helps show where Hua Bi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hua Bi, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 9 | |
| 13 | Ocular sensory dominance and viewing distance | 2016 | 1 |
| 14 | 2016 | 40 | |
| 15 | 2014 | 3 | |
| 16 | 2013 | 6 | |
| 17 | 2011 | 116 | |
| 18 | 2006 | 20 | |
| 19 | 2005 | 58 | |
| 20 | The Effects of Short Periods of Strabismus on Cortical Binocularity | 2003 | 1 |
About Hua Bi
Hua Bi is a scholar working on Ophthalmology, Cognitive Neuroscience, Epidemiology, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine, having authored 48 papers that have together received 666 indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (20 papers), Visual perception and processing mechanisms (14 papers), Glaucoma and retinal disorders (11 papers), Corneal surgery and disorders (10 papers), Neural dynamics and brain function (7 papers), Ocular Surface and Contact Lens (6 papers), Virus-based gene therapy research (4 papers) and Ophthalmology and Eye Disorders (4 papers). The work is most often cited by research in Ophthalmology (171 citations), Cognitive Neuroscience (318 citations), Epidemiology (320 citations), Radiology, Nuclear Medicine and Imaging (190 citations) and Cellular and Molecular Neuroscience (86 citations). Hua Bi has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuzo M. Chino, Bin Zhang, Earl L. Smith, Ronald S. Harwerth, Ichiro Maruko, Xiaofeng Tao, Ichiro Watanabe, Eiichi Sakai, Ruihua Wei and Bei Du. Their work appears in journals such as Current Eye Research, Investigative Ophthalmology & Visual Science, PLoS ONE, Journal of Neurophysiology and Proceedings of the National Academy of Sciences.
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.