Qing Cui
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
Papers in
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- Limits and Structures in Graph Theory 10
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- Advanced Graph Theory Research 21
- Graph Labeling and Dimension Problems 9
- Co-authors
- Alan R. HarveyShaoshun LiAjanthy ArulpragasamS. HishehJoost VerhaagenLingping ZhongLarry I. BenowitzYuqin Yin
- Journals
- Discrete Applied Mathematics (8 papers)Discrete Mathematics (6 papers)Neuroscience (5 papers)Chinese Chemical Letters (3 papers)Graphs and Combinatorics (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Cui
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 205
- Cellular and Molecular Neuroscience 453
- Ophthalmology 194
- Neurology 102
- Pharmacology 107
Countries citing papers authored by Qing Cui
This map shows the geographic impact of Qing Cui'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 Qing Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Cui more than expected).
Fields of papers citing papers by Qing Cui
This network shows the impact of papers produced by Qing Cui. 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 Qing Cui. The network helps show where Qing Cui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qing Cui, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 25 | |
| 8 | 2020 | 0 | |
| 9 | 2020 | 3 | |
| 10 | 2017 | 16 | |
| 11 | 2015 | 47 | |
| 12 | Spanning trees in subcubic graphs. | 2014 | 3 |
| 13 | 2014 | 21 | |
| 14 | 2014 | 90 | |
| 15 | 2008 | 5 | |
| 16 | 2008 | 3 | |
| 17 | 2008 | 12 | |
| 18 | 2007 | 26 | |
| 19 | 2005 | 18 | |
| 20 | 2000 | 13 |
About Qing Cui
Qing Cui is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics, Developmental Neuroscience, Computer Graphics and Computer-Aided Design and Geometry and Topology, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (21 papers), Limits and Structures in Graph Theory (10 papers), Retinal Development and Disorders (10 papers), Graph Labeling and Dimension Problems (9 papers), Graph theory and applications (8 papers), Glaucoma and retinal disorders (7 papers), Interconnection Networks and Systems (7 papers) and Nerve injury and regeneration (6 papers). The work is most often cited by research in Developmental Neuroscience (205 citations), Cellular and Molecular Neuroscience (453 citations), Ophthalmology (194 citations), Neurology (102 citations) and Pharmacology (107 citations). Qing Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Alan R. Harvey, Shaoshun Li, Ajanthy Arulpragasam, S. Hisheh, Joost Verhaagen, Lingping Zhong, Larry I. Benowitz, Yuqin Yin, Jiahua Cui and Qingqing Meng. Their work appears in journals such as Discrete Applied Mathematics, Discrete Mathematics, Neuroscience, Chinese Chemical Letters and Graphs and Combinatorics.
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.