Lu Ding

449 citations
33 papers · 314 · h-index 12

Impact in

Papers in

Lu Ding

30 papers receiving 307 citations

Peers

Lu Ding
Comparison fields: 5 of 61
  • Biomedical Engineering 184
  • Mechanical Engineering 119
  • Catalysis 21
  • Industrial and Manufacturing Engineering 23
  • Fluid Flow and Transfer Processes 15
Replace Nanhang Dong with:
Nanhang Dong China
Imran Nazir Unar Pakistan
Kanit Manatura Thailand
Slim Naoui Tunisia
Irfan Ul Hai United Kingdom
Huu Son Le Vietnam
Leteng Lin Sweden
Duleeka Sandamali Gunarathne Sri Lanka
Seock Joon Kim South Korea
Marine Peyrot France
Lu Ding relative to Nanhang Dong China Nanhang Dong's profile →
Citations per field
00.5×1.5×
Nanhang Dong · 1×
Citations per year

Countries citing papers authored by Lu Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lu Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202241
2 202233
3 202028
4 202223
5 202221
6 202116
7 202215
8 202315
9 202214
10 202212
11 202212
12 202211
13 20238
14 20228
15 20227
16 20236
17 20246
18 20226
19 20234
20 20244

About Lu Ding

Lu Ding is a scholar working on Biomedical Engineering, Mechanical Engineering, Computational Mechanics, Materials Chemistry and Fluid Flow and Transfer Processes, having authored 33 papers that have together received 314 indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (12 papers), Combustion and flame dynamics (8 papers), Advanced Combustion Engine Technologies (5 papers), Industrial Gas Emission Control (5 papers), Catalytic Processes in Materials Science (5 papers), Coal Combustion and Slurry Processing (4 papers), Anaerobic Digestion and Biogas Production (3 papers) and Combustion and Detonation Processes (3 papers). The work is most often cited by research in Biomedical Engineering (184 citations), Mechanical Engineering (119 citations), Catalysis (21 citations), Industrial and Manufacturing Engineering (23 citations) and Fluid Flow and Transfer Processes (15 citations). Lu Ding has collaborated with scholars based in China, Thailand and Taiwan. Frequent co-authors include Guangsuo Yu, Fuchen Wang, Qinghua Guo, Chen Cheng, Abdul Raheem, Chinnathan Areeprasert, Su Shiung Lam, Qing He, Yan Gong and Xueli Chen. Their work appears in journals such as Fuel, Chemical Engineering Science, Waste Management, Applied Energy and International Journal of Hydrogen Energy.

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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