Lufeng Hu

101 papers receiving 1.9k citations

Lufeng Hu's Hit Papers

Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients 2018 · 278 citations
2780+3+6Years since publication100200300400

Peers

Lufeng Hu
Comparison fields: 5 of 159
  • Biological Psychiatry 55
  • Pharmacology 186
  • Artificial Intelligence 486
  • Complementary and alternative medicine 85
  • Pharmacology 155
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Citations per year

Countries citing papers authored by Lufeng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lufeng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Toward an optimal kernel extreme learning machine using a chaotic moth-flame optimization strategy with applications in medical diagnoses
Hit paper breakdown →
2017406
2
Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients
Hit paper breakdown →
2018278
3 2015120
4 201553
5 201850
6 201744
7 201642
8 201541
9 201541
10 201540
11 201837
12 201632
13 201530
14 201428
15 201626
16 201525
17 201523
18 201622
19 201522
20 201521

About Lufeng Hu

Lufeng Hu is a scholar working on Molecular Biology, Surgery, Pharmacology, Pharmacology and Analytical Chemistry, having authored 106 papers that have together received 2.0k indexed citations. Recurring topics across this work include Paraquat toxicity studies and treatments (23 papers), Metabolomics and Mass Spectrometry Studies (19 papers), Analytical Methods in Pharmaceuticals (15 papers), Traditional Chinese Medicine Analysis (12 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Pharmacogenetics and Drug Metabolism (10 papers), Plant-based Medicinal Research (8 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Biological Psychiatry (55 citations), Pharmacology (186 citations), Artificial Intelligence (486 citations), Complementary and alternative medicine (85 citations) and Pharmacology (155 citations). Lufeng Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huiling Chen, Xianqin Wang, Zhennao Cai, Jianshe Ma, Xuehua Zhao, Guanyang Lin, Bo Yang, Changfei Tong, Guangliang Hong and Mingjing Wang. Their work appears in journals such as Biomedical Chromatography, BioMed Research International, Journal of Chromatography B, Journal of Liquid Chromatography & Related Technologies and Chromatographia.

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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