Junkui Li
Impact in
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
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- Ginkgo biloba and Cashew Applications
Papers in
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- Spectroscopy and Chemometric Analyses 4
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- Time Series Analysis and Forecasting 5
- Co-authors
- Peili Zhu (9 shared papers)Xiu‐Qiong Fu (6 shared papers)Ken Kin Lam Yung (4 shared papers)Zhi‐Ling Yu (6 shared papers)Zhixian Mo (4 shared papers)Chaohua Luo (3 shared papers)Yi Liu (1 shared paper)Jing Li (1 shared paper)
- Journals
- Phytomedicine (5 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2 papers)Materials Science and Engineering A (2 papers)Journal of Ethnopharmacology (2 papers)Scripta Materialia (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junkui Li
42 papers receiving 745 citations
Peers
Comparison fields: 5 of 116
- Neurology 87
- Complementary and alternative medicine 77
- Pollution 113
- Metals and Alloys 18
- Pharmacology 48
Countries citing papers authored by Junkui Li
This map shows the geographic impact of Junkui Li'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 Junkui Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkui Li more than expected).
Fields of papers citing papers by Junkui Li
This network shows the impact of papers produced by Junkui Li. 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 Junkui Li. The network helps show where Junkui Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junkui Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 146 | |
| 2 | 2023 | 127 | |
| 3 | 2018 | 74 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 28 | |
| 6 | 2023 | 28 | |
| 7 | 2022 | 26 | |
| 8 | 2019 | 25 | |
| 9 | 2022 | 23 | |
| 10 | 2014 | 23 | |
| 11 | Early Abandon to Accelerate Exact Dynamic Time Warping | 2009 | 17 |
| 12 | 2020 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2022 | 8 |
About Junkui Li
Junkui Li is a scholar working on Analytical Chemistry, Signal Processing, Metals and Alloys, Animal Science and Zoology and Food Science, having authored 46 papers that have together received 757 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (6 papers), Metal Alloys Wear and Properties (5 papers), Time Series Analysis and Forecasting (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Meat and Animal Product Quality (4 papers), Electrochemical sensors and biosensors (4 papers), Food composition and properties (4 papers) and Hydrogen embrittlement and corrosion behaviors in metals (3 papers). The work is most often cited by research in Neurology (87 citations), Complementary and alternative medicine (77 citations), Pollution (113 citations), Metals and Alloys (18 citations) and Pharmacology (48 citations). Junkui Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peili Zhu, Xiu‐Qiong Fu, Ken Kin Lam Yung, Zhi‐Ling Yu, Zhixian Mo, Chaohua Luo, Yi Liu, Jing Li, Wei Liu and Yuanzhen Wang. Their work appears in journals such as Phytomedicine, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Materials Science and Engineering A, Journal of Ethnopharmacology and Scripta Materialia.
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.