Dalong Chen

61 papers receiving 1k citations

Peers

Dalong Chen
Comparison fields: 5 of 27
  • Nuclear and High Energy Physics 971
  • Statistical and Nonlinear Physics 65
  • Electrical and Electronic Engineering 46
  • Materials Chemistry 25
  • Biomedical Engineering 15
Replace J. Chen with:
J. Chen United States
Hyunsun Han South Korea
Yonghua Ding China
D. Brunetti Switzerland
Guruparan Satheeswaran Germany
E. Fransson United Kingdom
Fernando Lapayese Spain
S. Costea Germany
J. Buermans Germany
N. Wendler United Kingdom
Dalong Chen relative to J. Chen United States J. Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dalong Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dalong Chen Line = papers co-authored together Dalong Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016243
2 201990
3 201670
4 201657
5 202150
6 202144
7 202040
8 201634
9 202333
10 201824
11 202424
12 202122
13 201720
14 201519
15 202319
16 201918
17 202118
18 201517
19 202016
20 201713

About Dalong Chen

Dalong Chen is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications, having authored 71 papers that have together received 1k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (62 papers), Fusion and Plasma Physics Studies (4 papers), Superconducting Materials and Applications (4 papers), Magnetic Field Sensors Techniques (3 papers), Advanced MEMS and NEMS Technologies (2 papers), Electronic Packaging and Soldering Technologies (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Plasma Diagnostics and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (971 citations), Statistical and Nonlinear Physics (65 citations), Electrical and Electronic Engineering (46 citations), Materials Chemistry (25 citations) and Biomedical Engineering (15 citations). Dalong Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bingjia Xiao, Robert Granetz, Biao Shen, Youwen Sun, Cristina Rea, Long Zeng, Jinping Qian, Kevin Montes, Bin Shen and JiaYu Qian. Their work appears in journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion, Fusion Engineering and Design, Measurement and IEEE Transactions on Plasma Science.

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.

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