Yuansheng Liu

4.1k citations
136 papers · 2.9k indexed · h-index 28
Topics
Computational Drug Discovery Methods (16 papers)Genomics and Phylogenetic Studies (15 papers)Chaos-based Image/Signal Encryption (12 papers)

In The Last Decade

Yuansheng Liu

125 papers receiving 2.8k citations

Peers

Yuansheng Liu
Comparison fields: 5 of 173
  • Molecular Biology 1.1k
  • Computer Vision and Pattern Recognition 807
  • Computational Theory and Mathematics 525
  • Artificial Intelligence 422
  • Materials Chemistry 262
Replace Weijie Su with:
Weijie Su United States
Mehmet Gönen Türkiye
Sivaraman Balakrishnan United States
Chen Pan China
Mingsheng Liu China
Ling Lin China
Lihua Li China
Wenbin Liu China
Wenling Li China
Yuansheng Liu relative to Weijie Su United States Weijie Su's profile →
Citations per field
00.5×5.7×
Weijie Su · 1×
Citations per year

Countries citing papers authored by Yuansheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yuansheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuansheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuansheng Liu. A scholar is included among the top collaborators of Yuansheng Liu 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 Yuansheng Liu. Yuansheng Liu 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 3
4 9
5 1
6 3
7 6
8 3
9 5
10 0
11 2
12 5
13 44
14 31
15 28
16 3
17 25
18 5
19
The Hematopoiesis of Angelica
1
20 98

About Yuansheng Liu

Yuansheng Liu is a scholar working on Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Automotive Engineering, having authored 136 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Genomics and Phylogenetic Studies (15 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (807 citations), Computational Theory and Mathematics (525 citations) and Cancer Research (255 citations). Yuansheng Liu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xiangxiang Zeng, Leo Yu Zhang, Tao Xie, Quan Zou, Zengyou He, Kwok‐Wo Wong, Chengqing Li, Yansen Su, Douglas R. James and P. de Mayo. Their work appears in journals such as Bioinformatics, The Science of The Total Environment and Journal of Hazardous Materials.

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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