Lin Ding

1.4k citations
25 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

Lin Ding

25 papers receiving 1.1k citations

Lin Ding's Hit Papers

The state-of-the-art review on energy harvesting from flow-induced vibrations 2020 · 506 citations
5060+2+4Years since publication100200300400500

Peers

Lin Ding
Comparison fields: 5 of 56
  • Computational Mechanics 820
  • Control and Systems Engineering 594
  • Environmental Engineering 339
  • Mechanical Engineering 549
  • Aerospace Engineering 222
Replace Njuki Mureithi with:
Njuki Mureithi Canada
Y. Amini Iran
Hai Sun China
Colette E. Taylor Canada
Chengyun Zhang China
Xavier Amandolèse France
Xiaodong Wu China
M.W. Wambsganss United States
Amir Hossein Rabiee Iran
Y.M. Desai India
Lin Ding relative to Njuki Mureithi Canada Njuki Mureithi's profile →
Citations per field
00.5×4.2×
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 →
2020506
2 2015131
3 2013103
4 202061
5 201950
6 202049
7 201849
8 202040
9 202121
10 202021
11 202318
12 202014
13 202110
14 202210
15 20189
16 20199
17 20209
18 20248
19 20198
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 1.1k 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), Innovative Energy Harvesting Technologies (7 papers), Aerodynamics and Fluid Dynamics Research (7 papers), Flow Measurement and Analysis (1 paper), Wind Energy Research and Development (1 paper) and Lattice Boltzmann Simulation Studies (1 paper). The work is most often cited by research in Computational Mechanics (820 citations), Control and Systems Engineering (594 citations), Environmental Engineering (339 citations), Mechanical Engineering (549 citations) and Aerospace Engineering (222 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, Zhen Su and Hang Li. Their work appears in journals such as Ocean Engineering, Smart Materials and Structures, Energies, International Journal of Heat and Mass Transfer and Journal of Wind Engineering and Industrial Aerodynamics.

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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