X. Dai
Impact in
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- Radioactivity and Radon Measurements
- Inorganic Chemistry top 5%
- Radioactive element chemistry and processing
Papers in
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- Radioactive contamination and transfer 49
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- Radioactivity and Radon Measurements 37
- Co-authors
- Sheila Kramer-Tremblay (20 shared papers)Christian Koeberl (2 shared papers)Hans‐Arno Synal (6 shared papers)Heinz Fröschl (1 shared paper)Marcus Christl (6 shared papers)Shan Xing (7 shared papers)Maoyi Luo (10 shared papers)Yan Ma (12 shared papers)
- Journals
- Journal of Radioanalytical and Nuclear Chemistry (17 papers)Journal of Environmental Radioactivity (7 papers)Analytical Chemistry (5 papers)Health Physics (5 papers)Analytica Chimica Acta (4 papers)
- Partner nations
- CanadaChinaSwitzerland
In The Last Decade
X. Dai
65 papers receiving 876 citations
Peers
Comparison fields: 5 of 72
- Radiological and Ultrasound Technology 427
- Inorganic Chemistry 475
- Radiation 248
- Global and Planetary Change 562
- Analytical Chemistry 123
Countries citing papers authored by X. Dai
This map shows the geographic impact of X. 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 X. Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Dai more than expected).
Fields of papers citing papers by X. Dai
This network shows the impact of papers produced by X. 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 X. Dai. The network helps show where X. Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside X. 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
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 72 | |
| 2 | 2014 | 39 | |
| 3 | 2011 | 39 | |
| 4 | 2011 | 36 | |
| 5 | 2016 | 32 | |
| 6 | 2014 | 32 | |
| 7 | 2018 | 27 | |
| 8 | 2014 | 25 | |
| 9 | 2008 | 25 | |
| 10 | 2012 | 22 | |
| 11 | 2010 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2017 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2005 | 19 | |
| 19 | 2014 | 19 | |
| 20 | 2012 | 19 |
About X. Dai
X. Dai is a scholar working on Global and Planetary Change, Radiological and Ultrasound Technology, Inorganic Chemistry, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 68 papers that have together received 900 indexed citations. Recurring topics across this work include Radioactive contamination and transfer (49 papers), Radioactivity and Radon Measurements (37 papers), Radioactive element chemistry and processing (31 papers), Nuclear Physics and Applications (16 papers), Radiation Detection and Scintillator Technologies (9 papers), Radioactive Decay and Measurement Techniques (8 papers), Radiation Dose and Imaging (7 papers) and Nuclear Materials and Properties (5 papers). The work is most often cited by research in Radiological and Ultrasound Technology (427 citations), Inorganic Chemistry (475 citations), Radiation (248 citations), Global and Planetary Change (562 citations) and Analytical Chemistry (123 citations). X. Dai has collaborated with scholars based in Canada, China and Switzerland. Frequent co-authors include Sheila Kramer-Tremblay, Christian Koeberl, Hans‐Arno Synal, Heinz Fröschl, Marcus Christl, Shan Xing, Maoyi Luo, Yan Ma, E. C. Corcoran and Xiaolin Hou. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Journal of Environmental Radioactivity, Analytical Chemistry, Health Physics and Analytica Chimica Acta.
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.