Aiming Liu

110 papers receiving 2.9k citations

Aiming Liu's Hit Papers

Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model 2016 · 332 citations
3320+3+6Years since publication100200300

Peers

Aiming Liu
Comparison fields: 5 of 162
  • Bioengineering 394
  • Biological Psychiatry 70
  • Pharmacology 252
  • Molecular Medicine 81
  • Industrial and Manufacturing Engineering 180
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Meng Shao China
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Aiming Liu relative to Meng Shao China Meng Shao's profile →
Citations per field
00.5×2×4×6×8×9.4×
Meng Shao · 1×
Citations per year

Countries citing papers authored by Aiming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model
Hit paper breakdown →
2016332
2 2014262
3 2011163
4 2011141
5 2013130
6 2015110
7 2018103
8 2017102
9 201880
10 201471
11 201269
12 201766
13 201566
14 201364
15 201760
16 201855
17 201348
18 201743
19 201643
20 201442

About Aiming Liu

Aiming Liu is a scholar working on Molecular Biology, Oncology, Pharmacology, Surgery and Epidemiology, having authored 121 papers that have together received 3.0k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (17 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Drug-Induced Hepatotoxicity and Protection (10 papers), Pharmacogenetics and Drug Metabolism (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Gas Sensing Nanomaterials and Sensors (5 papers), Atmospheric Ozone and Climate (4 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Bioengineering (394 citations), Biological Psychiatry (70 citations), Pharmacology (252 citations), Molecular Medicine (81 citations) and Industrial and Manufacturing Engineering (180 citations). Aiming Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bokai Xia, Dongzhi Zhang, Hongyan Chang, Jingjing Liu, Chuanxing Jiang, Wenjun Xu, Julin Yang, Ying Xu, Frank J. Gonzalez and Zude Zhou. Their work appears in journals such as Fusion Engineering and Design, Pharmacological Reports, Toxicology Letters, RSC Advances and Journal of Pharmacy and Pharmacology.

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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