Junkui Li

896 citations
42 papers · 684 · h-index 14

Impact in

Papers in

Junkui Li

38 papers receiving 677 citations

Peers

Junkui Li
Comparison fields: 5 of 112
  • Neurology 84
  • Complementary and alternative medicine 73
  • Pollution 96
  • Metals and Alloys 17
  • Biological Psychiatry 13
Replace Jiaqi Lan with:
Jiaqi Lan China
Jianguo Dai China
K. Anbarasu India
Shiek S. S. J. Ahmed India
Jianfei Li China
Abdulmajeed G. Almutary Saudi Arabia
Aanchal Verma India
Rahul India
Yining Zhao China
Zhuangzhuang Li China
Junkui Li relative to Jiaqi Lan China Jiaqi Lan's profile →
Citations per field
00.5×2.8×
Jiaqi Lan · 1×
Citations per year

Countries citing papers authored by Junkui Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junkui Li Line = papers co-authored together Junkui Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014139
2 2023107
3 201871
4 202128
5 202126
6 202324
7 202224
8 201924
9 201423
10 202222
11 202017
12 201716
13 202114
14
Early Abandon to Accelerate Exact Dynamic Time Warping
200913
15 202213
16 202112
17 202212
18 202112
19 202010
20 20228

About Junkui Li

Junkui Li is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Mechanical Engineering and Analytical Chemistry, having authored 42 papers that have together received 684 indexed citations. Recurring topics across this work include Microstructure and Mechanical Properties of Steels (6 papers), Metal Alloys Wear and Properties (5 papers), Spectroscopy and Chemometric Analyses (4 papers), Food composition and properties (4 papers), Electrochemical sensors and biosensors (4 papers), Meat and Animal Product Quality (4 papers), Microstructure and mechanical properties (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Neurology (84 citations), Complementary and alternative medicine (73 citations), Pollution (96 citations), Metals and Alloys (17 citations) and Biological Psychiatry (13 citations). Junkui Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Peili Zhu, Xiu‐Qiong Fu, Zhi‐Ling Yu, Ken Kin Lam Yung, Zhixian Mo, Chaohua Luo, Jing Li, Wei Liu, Yi Liu and Fucheng Zhang. Their work appears in journals such as Phytomedicine, Materials Science and Engineering A, Journal of Ethnopharmacology, Scripta Materialia and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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