Lingyun Ding

1.4k citations
51 papers · 756 · h-index 16

Impact in

Papers in

Lingyun Ding

49 papers receiving 741 citations

Peers

Lingyun Ding
Comparison fields: 5 of 100
  • Water Science and Technology 235
  • Pollution 101
  • Health, Toxicology and Mutagenesis 67
  • Plant Science 176
  • Biomaterials 55
Replace Wolfgang Burgstaller with:
Wolfgang Burgstaller Austria
Flávio Teixeira da Silva Brazil
Weilin Shi China
Yushuang Wang China
Wenbo Chai China
Sung-Youn Kim South Korea
Marie‐Anne Roncato France
Shuhuan Li China
Nicolina Dias Portugal
María Teresa Álvarez Sweden
Lingyun Ding relative to Wolfgang Burgstaller Austria Wolfgang Burgstaller's profile →
Citations per field
00.5×2.8×
Wolfgang Burgstaller · 1×
Citations per year

Countries citing papers authored by Lingyun Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 202172
3 200247
4 201636
5 202336
6 200333
7 202031
8 200729
9 199727
10 202123
11 202221
12 200721
13 199119
14 199519
15 199219
16 201818
17 202215
18 200915
19 198612
20 201812

About Lingyun Ding

Lingyun Ding is a scholar working on Water Science and Technology, Computational Mechanics, Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology, having authored 51 papers that have together received 756 indexed citations. Recurring topics across this work include Membrane Separation Technologies (13 papers), Fluid Dynamics and Turbulent Flows (6 papers), Lattice Boltzmann Simulation Studies (5 papers), Aerosol Filtration and Electrostatic Precipitation (4 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Blood properties and coagulation (4 papers), Membrane-based Ion Separation Techniques (4 papers) and Particle Dynamics in Fluid Flows (3 papers). The work is most often cited by research in Water Science and Technology (235 citations), Pollution (101 citations), Health, Toxicology and Mutagenesis (67 citations), Plant Science (176 citations) and Biomaterials (55 citations). Lingyun Ding has collaborated with scholars based in France, China and United States. Frequent co-authors include Michel Y. Jaffrin, Hu‐Chun Tao, Lijuan Zhang, Ming Hung Wong, Yin Shen, Ji Huang, Xia Yang, Hongsheng Zhang, Haijuan Tang and Meimei Wang. Their work appears in journals such as Journal of Membrane Science, Separation Science and Technology, Desalination, Journal of Fluid Mechanics and Nano Letters.

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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