Guangquan Li

3.1k citations
77 papers · 2.1k indexed · 2 hit papers · h-index 16
Topics
Animal Nutrition and Physiology (8 papers)Metaheuristic Optimization Algorithms Research (5 papers)Online Learning and Analytics (4 papers)

In The Last Decade

Guangquan Li

73 papers receiving 2.1k citations

Hit Papers

Future life expectancy in 35 industrialised countries: pr...201520262018202220172015250500750

Peers

Guangquan Li
Comparison fields: 5 of 179
  • Molecular Biology 370
  • General Health Professions 272
  • Nutrition and Dietetics 265
  • Epidemiology 187
  • Physiology 162
Replace Tae Hyun Kim with:
Tae Hyun Kim South Korea
Yi Zhu China
Wu Yao China
Ewa Rudnicka Poland
Xiaoming Sheng United States
Honghuang Lin United States
Jiajia Zhang United States
Kenneth W. Miller United States
Yan Zhang China
Young‐Eun Kim South Korea
Guangquan Li relative to Tae Hyun Kim South Korea Tae Hyun Kim's profile →
Citations per field
00.5×1.5×2.1×
Tae Hyun Kim · 1×
Citations per year

Countries citing papers authored by Guangquan Li

Since Specialization
Citations

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

Fields of papers citing papers by Guangquan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangquan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guangquan Li. A scholar is included among the top collaborators of Guangquan Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangquan Li. Guangquan Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 2
6 1
7 2
8 1
9 2
10 13
11 3
12 1
13 1
14 12
15 2
16 20
17 6
18 34
19
Energy potentiality of crop straw resources in China
10
20
Chance-constrained portfolio problem
1

About Guangquan Li

Guangquan Li is a scholar working on Animal Science and Zoology, Computer Science Applications and Health Informatics, having authored 77 papers that have together received 2.1k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (8 papers), Metaheuristic Optimization Algorithms Research (5 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Aging (36 citations), Biochemistry (115 citations) and Health (158 citations). Guangquan Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Majid Ezzati, James E. Bennett, Kyle J Foreman, Vasilis Kontis, Colin Mathers, Richard White, Wafaie Fawzi, Amarilis Then-Paulino, Mariel M. Finucane and Seth Flaxman. Their work appears in journals such as The Lancet, PLoS ONE and Analytical Biochemistry.

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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