Minglong Liang
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
- Cognitive Neuroscience top 10%
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
Papers in
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- Visual perception and processing mechanisms 5
- Functional Brain Connectivity Studies 3
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- Retinal Imaging and Analysis 3
- Advanced Neuroimaging Techniques and Applications 2
- Co-authors
- Xuntao Yin (9 shared papers)Jian Wang (10 shared papers)Bing Xie (8 shared papers)Jiuquan Zhang (5 shared papers)Chao Dai (3 shared papers)Chaoyang Zhou (2 shared papers)Hong Yang (3 shared papers)Xiaofei Hu (2 shared papers)
In The Last Decade
Minglong Liang
15 papers receiving 383 citations
Peers
Comparison fields: 5 of 41
- Ophthalmology 111
- Cognitive Neuroscience 203
- Radiology, Nuclear Medicine and Imaging 139
- Neurology 44
- Neurology 69
Countries citing papers authored by Minglong Liang
This map shows the geographic impact of Minglong Liang'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 Minglong Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minglong Liang more than expected).
Fields of papers citing papers by Minglong Liang
This network shows the impact of papers produced by Minglong Liang. 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 Minglong Liang. The network helps show where Minglong Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minglong Liang, 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 | 2013 | 59 | |
| 2 | 2016 | 43 | |
| 3 | 2016 | 39 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 35 | |
| 6 | 2014 | 29 | |
| 7 | 2015 | 28 | |
| 8 | 2017 | 26 | |
| 9 | 2017 | 22 | |
| 10 | 2015 | 19 | |
| 11 | 2016 | 17 | |
| 12 | 2014 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2014 | 6 | |
| 15 | 2022 | 5 |
About Minglong Liang
Minglong Liang is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Epidemiology, Ophthalmology and Neurology, having authored 15 papers that have together received 387 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Ophthalmology and Visual Impairment Studies (5 papers), Glaucoma and retinal disorders (4 papers), Retinal Imaging and Analysis (3 papers), Retinal Diseases and Treatments (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Ophthalmology (111 citations), Cognitive Neuroscience (203 citations), Radiology, Nuclear Medicine and Imaging (139 citations), Neurology (44 citations) and Neurology (69 citations). Minglong Liang has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Xuntao Yin, Jian Wang, Bing Xie, Jiuquan Zhang, Chao Dai, Chaoyang Zhou, Hong Yang, Xiaofei Hu, Alan C. Evans and Luqing Wei. Their work appears in journals such as Frontiers in Human Neuroscience, PLoS ONE, Neuroradiology, European Journal of Radiology and Medicine.
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.