Dongyu Xue

1.2k citations
7 papers · 619 indexed · 1 hit paper · h-index 6
Topics
CRISPR and Genetic Engineering (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)Machine Learning in Materials Science (2 papers)
Partner nations
ChinaHong Kong

In The Last Decade

Dongyu Xue

6 papers receiving 609 citations

Hit Papers

DeepCRISPR: optimized CRISPR guide RNA design by deep lea...20182026202020232018100200300

Peers

Dongyu Xue
Comparison fields: 5 of 84
  • Molecular Biology 512
  • Computational Theory and Mathematics 88
  • Materials Chemistry 65
  • Genetics 59
  • Artificial Intelligence 51
Replace Guohui Chuai with:
Guohui Chuai China
Jiecong Lin Hong Kong
Sheng Qu China
Tiago Grego Portugal
Jeffrey A. Ruffolo United States
Mohd Ahsan India
Grigory Khimulya Russia
Francesca Ceroni United Kingdom
Marine Dumousseau United Kingdom
Daniela Wieser United Kingdom
Dongyu Xue relative to Guohui Chuai China Guohui Chuai's profile →
Citations per field
00.5×1.5×
Guohui Chuai · 1×
Citations per year

Countries citing papers authored by Dongyu Xue

Since Specialization
Citations

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

Fields of papers citing papers by Dongyu Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongyu Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Dongyu Xue. A scholar is included among the top collaborators of Dongyu Xue 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 Dongyu Xue. Dongyu Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 29
3 55
4 21
5
DeepCRISPR: optimized CRISPR guide RNA design by deep learningbreakdown →
356
6 59
7 99

About Dongyu Xue

Dongyu Xue is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Artificial Intelligence, having authored 7 papers that have together received 619 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Business and International Management (49 citations), Aging (37 citations) and Molecular Biology (512 citations). Dongyu Xue has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Guohui Chuai, Qi Liu, Sheng Qu, Feng Gu, Jifang Yan, Nanfang Hong, Jia Wei, De-Shuang Huang, Ke Chen and Bin Duan. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

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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