Yiding Lv
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Brain Tumor Detection and Classification 5
- Cerebrovascular and genetic disorders 1
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- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 1
- Co-authors
- Yudong Zhang (5 shared papers)Yuxiu Sui (7 shared papers)Shuihua Wang (4 shared papers)Sujing Wang (1 shared paper)Shuai Liu (1 shared paper)Yin Zhang⋆ (3 shared papers)Xiaoxia Hou (2 shared papers)Liangxiu Han (1 shared paper)
- Journals
- Brain Imaging and Behavior (2 papers)Multimedia Tools and Applications (1 paper)Journal of Psychiatric Research (1 paper)Complexity (1 paper)Progress in Neuro-Psychopharmacology and Biological Psychiatry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yiding Lv
13 papers receiving 394 citations
Peers
Comparison fields: 5 of 95
- Neurology 91
- Computer Vision and Pattern Recognition 100
- Cognitive Neuroscience 67
- Artificial Intelligence 111
- Radiology, Nuclear Medicine and Imaging 64
Countries citing papers authored by Yiding Lv
This map shows the geographic impact of Yiding Lv'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 Yiding Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiding Lv more than expected).
Fields of papers citing papers by Yiding Lv
This network shows the impact of papers produced by Yiding Lv. 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 Yiding Lv. The network helps show where Yiding Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiding Lv, 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 | 2017 | 143 | |
| 2 | 2016 | 55 | |
| 3 | 2017 | 49 | |
| 4 | 2018 | 43 | |
| 5 | 2018 | 40 | |
| 6 | 2016 | 17 | |
| 7 | 2018 | 14 | |
| 8 | 2016 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 |
About Yiding Lv
Yiding Lv is a scholar working on Neurology, Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 399 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers), Data Stream Mining Techniques (2 papers), Machine Learning and ELM (2 papers), Advanced Neural Network Applications (2 papers), Cerebrovascular and genetic disorders (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Neurology (91 citations), Computer Vision and Pattern Recognition (100 citations), Cognitive Neuroscience (67 citations), Artificial Intelligence (111 citations) and Radiology, Nuclear Medicine and Imaging (64 citations). Yiding Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yudong Zhang, Yuxiu Sui, Shuihua Wang, Sujing Wang, Shuai Liu, Yin Zhang⋆, Xiaoxia Hou, Liangxiu Han, Xinyue Zhang and Zhuqing Jiao. Their work appears in journals such as Brain Imaging and Behavior, Multimedia Tools and Applications, Journal of Psychiatric Research, Complexity and Progress in Neuro-Psychopharmacology and Biological Psychiatry.
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.