Danni Cheng
Impact in
- Neurology top 2%
- Brain Tumor Detection and Classification
- Parkinson's Disease Mechanisms and Treatments
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research
Papers in
-
- Medical Image Segmentation Techniques 7
-
- Brain Tumor Detection and Classification 7
- Co-authors
- Manhua Liu (7 shared papers)Yaping Wang (2 shared papers)Kundong Wang (1 shared paper)Weiwu Yan (1 shared paper)Brett Garner (4 shared papers)Glenda M. Halliday (3 shared papers)Woojin S. Kim (3 shared papers)Heather McCann (2 shared papers)
In The Last Decade
Danni Cheng
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Neurology 484
- Psychiatry and Mental health 250
- Health Information Management 81
- Otorhinolaryngology 44
- Neurology 152
Countries citing papers authored by Danni Cheng
This map shows the geographic impact of Danni Cheng'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 Danni Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Cheng more than expected).
Fields of papers citing papers by Danni Cheng
This network shows the impact of papers produced by Danni Cheng. 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 Danni Cheng. The network helps show where Danni Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Cheng, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 315 | |
| 2 | 2018 | 190 | |
| 3 | 2011 | 159 | |
| 4 | 2012 | 71 | |
| 5 | 2017 | 68 | |
| 6 | 2021 | 62 | |
| 7 | 2017 | 55 | |
| 8 | 2018 | 51 | |
| 9 | 2011 | 46 | |
| 10 | 2017 | 39 | |
| 11 | 2010 | 38 | |
| 12 | 2017 | 32 | |
| 13 | 2017 | 28 | |
| 14 | 2019 | 25 | |
| 15 | 2008 | 24 | |
| 16 | 2018 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2021 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2021 | 10 |
About Danni Cheng
Danni Cheng is a scholar working on Computer Vision and Pattern Recognition, Neurology, Otorhinolaryngology, Oncology and Surgery, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (7 papers), Brain Tumor Detection and Classification (7 papers), Head and Neck Cancer Studies (5 papers), Dementia and Cognitive Impairment Research (4 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers), AI in cancer detection (3 papers), Ear and Head Tumors (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Neurology (484 citations), Psychiatry and Mental health (250 citations), Health Information Management (81 citations), Otorhinolaryngology (44 citations) and Neurology (152 citations). Danni Cheng has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Manhua Liu, Yaping Wang, Kundong Wang, Weiwu Yan, Brett Garner, Glenda M. Halliday, Woojin S. Kim, Heather McCann, Jianliang Fu and Wei Fun Cheong. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, Acta Oto-Laryngologica, Ear and Hearing, Cancer Medicine and Otolaryngology.
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.