Yuquan Li

636 citations
25 papers · 415 indexed · h-index 11
Topics
Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (8 papers)Machine Learning in Materials Science (7 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaJournal of Agricultural and Food Chemistry
Partner nations
ChinaMacaoPoland

In The Last Decade

Yuquan Li

21 papers receiving 407 citations

Peers

Yuquan Li
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 218
  • Molecular Biology 205
  • Materials Chemistry 156
  • Artificial Intelligence 87
  • Mechanical Engineering 40
Replace Pavel Karpov with:
Pavel Karpov Russia
Shufang Xie China
Noureddin Sadawi United Kingdom
Wenyi Wang China
Fahimeh Ghasemi Iran
Abdul Qudair Baig Pakistan
Limeng Pu United States
Benben Liao China
Yuquan Li relative to Pavel Karpov Russia Pavel Karpov's profile →
Citations per field
00.5×5.7×
Pavel Karpov · 1×
Citations per year

Countries citing papers authored by Yuquan Li

Since Specialization
Citations

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

Fields of papers citing papers by Yuquan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuquan Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yuquan Li. A scholar is included among the top collaborators of Yuquan 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 Yuquan Li. Yuquan 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 0
2 0
3 1
4 0
5 5
6 20
7 1
8 15
9 17
10 9
11 34
12 2
13 2
14 10
15 80
16 70
17 6
18
Effects of pretreatment on yield and strength of gelatin derived from fish skin of Pacific Cod (Gadusmacrocephalus).
1
19 40
20 10

About Yuquan Li

Yuquan Li is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry, having authored 25 papers that have together received 415 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (8 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Computational Theory and Mathematics (218 citations), Materials Chemistry (156 citations) and Molecular Biology (205 citations). Yuquan Li has collaborated with scholars based in China, Macao and Poland. Frequent co-authors include Huanxiang Liu, Xiaojun Yao, Chang‐Yu Hsieh, Gexiang Zhang, Marian Gheorghe, Pengyong Li, Xiaorui Wang, Zhidan Li, Guangyong Chen and Benben Liao. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Agricultural and Food Chemistry.

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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