Lin Ding

1.4k citations
25 papers · 1.2k · 1 hit paper · h-index 13

Impact in

Papers in

Lin Ding

25 papers receiving 1.2k citations

Lin Ding's Hit Papers

The state-of-the-art review on energy harvesting from flow-induced vibrations 2020 · 527 citations
5270+2+4Years since publication100200300400500

Peers

Lin Ding
Comparison fields: 5 of 56
  • Computational Mechanics 855
  • Control and Systems Engineering 612
  • Environmental Engineering 342
  • Mechanical Engineering 575
  • Aerospace Engineering 234
Replace Njuki Mureithi with:
Njuki Mureithi Canada
Hai Sun China
Y. Amini Iran
Colette E. Taylor Canada
Chengyun Zhang China
Xavier Amandolèse France
Amir Hossein Rabiee Iran
Y.M. Desai India
R. Rey France
Fumio INADA Japan
Lin Ding relative to Njuki Mureithi Canada Njuki Mureithi's profile →
Citations per field
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Njuki Mureithi · 1×
Citations per year

Countries citing papers authored by Lin Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The state-of-the-art review on energy harvesting from flow-induced vibrations
Hit paper breakdown →
2020527
2 2015138
3 2013109
4 202064
5 201853
6 201953
7 202049
8 202045
9 202024
10 202121
11 202321
12 202014
13 202212
14 202111
15 202410
16 20209
17 20199
18 20189
19 20199
20 20197

About Lin Ding

Lin Ding is a scholar working on Computational Mechanics, Control and Systems Engineering, Environmental Engineering, Aerospace Engineering and Mechanical Engineering, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Vibration Analysis (23 papers), Vibration and Dynamic Analysis (18 papers), Wind and Air Flow Studies (12 papers), Aerodynamics and Fluid Dynamics Research (7 papers), Innovative Energy Harvesting Technologies (7 papers), Vibration Control and Rheological Fluids (1 paper), Drilling and Well Engineering (1 paper) and Wind Energy Research and Development (1 paper). The work is most often cited by research in Computational Mechanics (855 citations), Control and Systems Engineering (612 citations), Environmental Engineering (342 citations), Mechanical Engineering (575 citations) and Aerospace Engineering (234 citations). Lin Ding has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Junlei Wang, Hongjun Zhu, Daniil Yurchenko, Li Zhang, Michael M. Bernitsas, Eun Soo Kim, Haibo Wang, Bowen Yan, Hang Li and Zhen Su. Their work appears in journals such as Ocean Engineering, Energies, Smart Materials and Structures, International Journal of Heat and Fluid Flow and AIP Advances.

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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