Ning Ai

2.1k citations
78 papers · 1.8k · h-index 22

Impact in

Papers in

    • Phase Equilibria and Thermodynamics 13
    • Thermochemical Biomass Conversion Processes 12
    • Catalysis for Biomass Conversion 5
    • Carbon Dioxide Capture Technologies 18
    • Catalysis and Hydrodesulfurization Studies 5

Ning Ai

73 papers receiving 1.8k citations

Peers

Ning Ai
Comparison fields: 5 of 93
  • Catalysis 700
  • Filtration and Separation 87
  • Process Chemistry and Technology 84
  • Biomedical Engineering 877
  • Fluid Flow and Transfer Processes 120
Replace Xiaochun Chen with:
Xiaochun Chen China
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Nettem V. Choudary India
Jie Feng China
Wangliang Li China
Dong Shen United States
Donato Alexandre Gomes Aranda Brazil
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Ning Ai relative to Xiaochun Chen China Xiaochun Chen's profile →
Citations per field
00.5×1.5×2.3×
Xiaochun Chen · 1×
Citations per year

Countries citing papers authored by Ning Ai

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013153
2 2014150
3 2015139
4 2014129
5 201689
6 202084
7 201782
8 201276
9 201175
10 201260
11 201957
12 201842
13 201438
14 202237
15 202137
16 200935
17 201833
18 201428
19 201527
20 202224

About Ning Ai

Ning Ai is a scholar working on Biomedical Engineering, Mechanical Engineering, Catalysis, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Carbon Dioxide Capture Technologies (18 papers), Ionic liquids properties and applications (15 papers), Phase Equilibria and Thermodynamics (13 papers), Thermochemical Biomass Conversion Processes (12 papers), Supercapacitor Materials and Fabrication (8 papers), Carbon dioxide utilization in catalysis (7 papers), Catalysis for Biomass Conversion (5 papers) and Catalysis and Hydrodesulfurization Studies (5 papers). The work is most often cited by research in Catalysis (700 citations), Filtration and Separation (87 citations), Process Chemistry and Technology (84 citations), Biomedical Engineering (877 citations) and Fluid Flow and Transfer Processes (120 citations). Ning Ai has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Dongshun Deng, Yaotai Jiang, Ganning Zeng, Guihua Li, Meizhen Lu, Jiawei Wang, Jianbing Ji, Guoqiang Han, Fengwen Yu and Xiaobang Liu. Their work appears in journals such as The Journal of Chemical Thermodynamics, Molecules, Journal of Chemical & Engineering Data, RSC Advances and Waste and Biomass Valorization.

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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