Tianhao Yu

1.4k citations
9 papers · 908 indexed · 2 hit papers · h-index 6
Topics
Machine Learning in Bioinformatics (3 papers)Enzyme Catalysis and Immobilization (3 papers)CRISPR and Genetic Engineering (2 papers)
Partner nations
United StatesChina

In The Last Decade

Tianhao Yu

9 papers receiving 893 citations

Hit Papers

Directed Evolution: Methodologies and Applications202120262022202420212023100200300400

Peers

Tianhao Yu
Comparison fields: 5 of 93
  • Molecular Biology 706
  • Biomedical Engineering 116
  • Materials Chemistry 92
  • Computational Theory and Mathematics 82
  • Organic Chemistry 78
Replace Piia Kokkonen with:
Piia Kokkonen Czechia
Yinglu Cui China
A. Chang Germany
Gaurao V. Dhoke Germany
Jing Su China
Patrick C. Cirino United States
Zachary Wu United States
Andrew Currin United Kingdom
Sheela Muley United States
Katrin Rosenthal Germany
Tianhao Yu relative to Piia Kokkonen Czechia Piia Kokkonen's profile →
Citations per field
00.5×10×15×19×
Piia Kokkonen · 1×
Citations per year

Countries citing papers authored by Tianhao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Tianhao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianhao Yu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 3
2 16
3 30
4
Enzyme function prediction using contrastive learningbreakdown →
236
5 79
6 112
7
Directed Evolution: Methodologies and Applicationsbreakdown →
428
8 1
9 3

About Tianhao Yu

Tianhao Yu is a scholar working on Computer Graphics and Computer-Aided Design, Biotechnology and Molecular Biology, having authored 9 papers that have together received 908 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (3 papers), Enzyme Catalysis and Immobilization (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (706 citations), Biotechnology (74 citations) and Computational Theory and Mathematics (82 citations). Tianhao Yu has collaborated with scholars based in United States and China. Frequent co-authors include Huimin Zhao, Stephan Lane, Pu Xue, Yajie Wang, Mingfeng Cao, Haiyang Cui, Yunan Luo, Guangde Jiang, Jianan Canal Li and Aashutosh Girish Boob. Their work appears in journals such as Nature, Science and Chemical Reviews.

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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