Fang Ding

115 papers receiving 2.4k citations

Peers

Fang Ding
Comparison fields: 5 of 127
  • Metals and Alloys 62
  • Business and International Management 40
  • Molecular Biology 1.1k
  • Nuclear and High Energy Physics 213
  • Materials Chemistry 708
Replace Yuelin Liu with:
Yuelin Liu China
Michael Köehler United States
Jérôme Kieffer France
Fan Li China
Satoshi Nakayama Japan
Hailong Wang China
Martin Donnelley Australia
Takayuki Homma Japan
J.R. Birch United Kingdom
Hisao Kobayashi Japan
Fang Ding relative to Yuelin Liu China Yuelin Liu's profile →
Citations per field
00.5×6.5×
Yuelin Liu · 1×
Citations per year

Countries citing papers authored by Fang Ding

Since Specialization
Citations

This map shows the geographic impact of Fang Ding'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 Fang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Ding more than expected).

Fields of papers citing papers by Fang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang Ding. 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 Fang Ding. The network helps show where Fang Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Fang Ding, 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 Fang Ding Line = papers co-authored together Fang Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004216
2 2017155
3 2014143
4 2008137
5 2015104
6 201996
7 200788
8 201081
9 201167
10 201855
11 201255
12 202052
13 200751
14 201134
15 201831
16 201731
17 201631
18 201830
19 202229
20 202128

About Fang Ding

Fang Ding is a scholar working on Materials Chemistry, Nuclear and High Energy Physics, Mechanics of Materials, Molecular Biology and Biomedical Engineering, having authored 117 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fusion materials and technologies (51 papers), Nuclear Materials and Properties (27 papers), Magnetic confinement fusion research (27 papers), Laser-induced spectroscopy and plasma (16 papers), Ion-surface interactions and analysis (10 papers), Laser-Plasma Interactions and Diagnostics (10 papers), RNA and protein synthesis mechanisms (10 papers) and Metal and Thin Film Mechanics (7 papers). The work is most often cited by research in Metals and Alloys (62 citations), Business and International Management (40 citations), Molecular Biology (1.1k citations), Nuclear and High Energy Physics (213 citations) and Materials Chemistry (708 citations). Fang Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Ailong Ke, Jennifer A. Doudna, Guang–Nan Luo, Changrui Lu, Kaihong Zhou, J.H.D. Cate, Kanagalaghatta R. Rajashankar, Tina M. Henkin, Yibei Xiao and Yunqi Li. Their work appears in journals such as Fusion Engineering and Design, Journal of Nuclear Materials, Nuclear Fusion, Nuclear Materials and Energy and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.

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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