Dalong Chen
Impact in
-
- Magnetic confinement fusion research
- Laser-Plasma Interactions and Diagnostics
- Astronomy and Astrophysics top 10%
- Ionosphere and magnetosphere dynamics
Papers in ⓘ
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- Magnetic confinement fusion research 43
-
- Ionosphere and magnetosphere dynamics 13
- Co-authors
- Bingjia Xiao (28 shared papers)R. Granetz (11 shared papers)Biao Shen (21 shared papers)Youwen Sun (15 shared papers)Cristina Rea (7 shared papers)Long Zeng (15 shared papers)Kevin Montes (4 shared papers)Bin Shen (3 shared papers)
- Journals
- Nuclear Fusion (16 papers)Plasma Physics and Controlled Fusion (8 papers)Fusion Engineering and Design (6 papers)Nuclear Engineering and Technology (2 papers)Measurement (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Dalong Chen
53 papers receiving 462 citations
Peers
Comparison fields: 5 of 48
- Nuclear and High Energy Physics 327
- Astronomy and Astrophysics 85
- Aerospace Engineering 127
- Artificial Intelligence 99
- Materials Chemistry 107
Countries citing papers authored by Dalong Chen
This map shows the geographic impact of Dalong Chen'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 Dalong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalong Chen more than expected).
Fields of papers citing papers by Dalong Chen
This network shows the impact of papers produced by Dalong Chen. 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 Dalong Chen. The network helps show where Dalong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalong Chen, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 77 | |
| 2 | 2021 | 40 | |
| 3 | 2016 | 36 | |
| 4 | 2020 | 30 | |
| 5 | 2021 | 30 | |
| 6 | 2023 | 26 | |
| 7 | 2012 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2015 | 18 | |
| 10 | 2021 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2015 | 13 | |
| 14 | 2021 | 11 | |
| 15 | 2014 | 10 | |
| 16 | 2016 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2020 | 6 |
About Dalong Chen
Dalong Chen is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Aerospace Engineering, Biomedical Engineering and Materials Chemistry, having authored 62 papers that have together received 493 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (43 papers), Superconducting Materials and Applications (16 papers), Fusion materials and technologies (15 papers), Ionosphere and magnetosphere dynamics (13 papers), Particle accelerators and beam dynamics (7 papers), Network Security and Intrusion Detection (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Nuclear reactor physics and engineering (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (327 citations), Astronomy and Astrophysics (85 citations), Aerospace Engineering (127 citations), Artificial Intelligence (99 citations) and Materials Chemistry (107 citations). Dalong Chen has collaborated with scholars based in China, United States and France. Frequent co-authors include Bingjia Xiao, R. Granetz, Biao Shen, Youwen Sun, Cristina Rea, Long Zeng, Kevin Montes, Bin Shen, J.P. Qian and J.P. Qian. Their work appears in journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion, Fusion Engineering and Design, Nuclear Engineering and Technology and Measurement.
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.