Jingjing Dai
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems 3
- Radiation top 10%
- Advanced Radiotherapy Techniques 7
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- Medical Imaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 8
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- Photonic and Optical Devices 4
- Semiconductor Lasers and Optical Devices 4
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- Advanced X-ray and CT Imaging 4
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- Immune Cell Function and Interaction 3
- Co-authors
- Yaoqin XieXiaokun LiangLongfeng JiangTong LiChuanlong ZhuJinghao ZhangRuizhi ZhangYing Chen
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jingjing Dai
60 papers receiving 726 citations
Peers
Comparison fields: 5 of 138
- Cancer Research 120
- Metals and Alloys 16
- Pharmaceutical Science 29
- Radiation 40
- Hepatology 33
Countries citing papers authored by Jingjing Dai
This map shows the geographic impact of Jingjing Dai'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 Jingjing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjing Dai more than expected).
Fields of papers citing papers by Jingjing Dai
This network shows the impact of papers produced by Jingjing Dai. 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 Jingjing Dai. The network helps show where Jingjing Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingjing Dai, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 11 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 28 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 19 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 61 | |
| 15 | 2022 | 17 | |
| 16 | 2020 | 14 | |
| 17 | 2020 | 16 | |
| 18 | Dosimetric comparison of different algorithms in stereotactic body radiation therapy (SBRT) plan for non-small cell lung cancer (NSCLC) | 2019 | 1 |
| 19 | 2015 | 40 | |
| 20 | 2015 | 7 |
About Jingjing Dai
Jingjing Dai is a scholar working on Radiation, Biological Psychiatry and Health Informatics, having authored 66 papers that have together received 729 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Radiotherapy Techniques (7 papers), Photonic and Optical Devices (4 papers), Advanced X-ray and CT Imaging (4 papers), Semiconductor Lasers and Optical Devices (4 papers), Advanced Drug Delivery Systems (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Cancer Research (120 citations), Metals and Alloys (16 citations) and Pharmaceutical Science (29 citations). Jingjing Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yaoqin Xie, Xiaokun Liang, Longfeng Jiang, Tong Li, Chuanlong Zhu, Jinghao Zhang, Ruizhi Zhang, Ying Chen, Liren Zhang and Yong Liang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.