Daoqiang Zhang
- Neurology top 0.2%
- Brain Tumor Detection and Classification 32
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- Face and Expression Recognition 53
- Medical Image Segmentation Techniques 46
- Image Retrieval and Classification Techniques 30
- Cognitive Neuroscience top 0.5%
- Functional Brain Connectivity Studies 83
- EEG and Brain-Computer Interfaces 45
- Neural dynamics and brain function 31
- Computational Mathematics top 1%
- Media Technology top 0.2%
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- Dementia and Cognitive Impairment Research 31
- Co-authors
- Dinggang ShenSongcan ChenZhi‐Hua ZhouMingxia LiuWeiling CaiLuping ZhouYaping WangHong Yuan
- Journals
- Nature Communications (2 papers)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (7 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Daoqiang Zhang
334 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Neurology 2.2k
- Computer Vision and Pattern Recognition 4.5k
- Cognitive Neuroscience 2.9k
- Computational Mathematics 82
- Media Technology 1.1k
Countries citing papers authored by Daoqiang Zhang
This map shows the geographic impact of Daoqiang Zhang'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 Daoqiang Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoqiang Zhang more than expected).
Fields of papers citing papers by Daoqiang Zhang
This network shows the impact of papers produced by Daoqiang Zhang. 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 Daoqiang Zhang. The network helps show where Daoqiang Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daoqiang Zhang, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 10 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 15 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 36 | |
| 16 | 2022 | 40 | |
| 17 | 2022 | 21 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 133 | |
| 20 | 2020 | 5 |
About Daoqiang Zhang
Daoqiang Zhang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Neurology, having authored 368 papers that have together received 12.7k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (83 papers), Face and Expression Recognition (53 papers), Medical Image Segmentation Techniques (46 papers), EEG and Brain-Computer Interfaces (45 papers), Brain Tumor Detection and Classification (32 papers), Neural dynamics and brain function (31 papers), Dementia and Cognitive Impairment Research (31 papers) and Image Retrieval and Classification Techniques (30 papers). The work is most often cited by research in Neurology (2.2k citations), Computer Vision and Pattern Recognition (4.5k citations) and Cognitive Neuroscience (2.9k citations). Daoqiang Zhang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Dinggang Shen, Songcan Chen, Zhi‐Hua Zhou, Mingxia Liu, Weiling Cai, Luping Zhou, Yaping Wang, Hong Yuan, Biao Jie and Wei Shao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.
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.