H. Yu

594 citations
25 papers · 428 · h-index 10

Impact in

    • Bioinformatics and Genomic Networks
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics
    • Gene Regulatory Network Analysis
    • Microbial Metabolic Engineering and Bioproduction
    • Computational Drug Discovery Methods

Papers in

H. Yu

23 papers receiving 416 citations

Peers

H. Yu
Comparison fields: 5 of 97
  • Molecular Biology 193
  • Computational Theory and Mathematics 44
  • Biomaterials 30
  • Nuclear and High Energy Physics 20
  • Genetics 13
Replace Yanwei Zhang with:
Yanwei Zhang China
S Pirro Italy
Lijie Li China
Atsushi Kameda Japan
Tian Xu China
Beibei Huang China
Susanne Bauerschmidt Netherlands
Xianrui Cheng United States
Huiya Zhang China
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H. Yu relative to Yanwei Zhang China Yanwei Zhang's profile →
Citations per field
00.5×2×4×5.5×
Yanwei Zhang · 1×
Citations per year

Countries citing papers authored by H. Yu

Since Specialization
Citations

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

Fields of papers citing papers by H. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Yu Line = papers co-authored together H. Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011202
2 202065
3 202418
4 201215
5 201212
6 200512
7 200912
8 200711
9 202511
10 200810
11 202410
12 20249
13 20207
14 20176
15 20254
16 20094
17 20034
18 20244
19 20254
20 20243

About H. Yu

H. Yu is a scholar working on Nuclear and High Energy Physics, Waste Management and Disposal, Health, Toxicology and Mutagenesis, Environmental Engineering and Biomedical Engineering, having authored 25 papers that have together received 428 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Quantum Chromodynamics and Particle Interactions (3 papers), Environmental remediation with nanomaterials (3 papers), High-Energy Particle Collisions Research (3 papers), Microbial Fuel Cells and Bioremediation (2 papers), Nanoplatforms for cancer theranostics (1 paper) and Environmental Toxicology and Ecotoxicology (1 paper). The work is most often cited by research in Molecular Biology (193 citations), Computational Theory and Mathematics (44 citations), Biomaterials (30 citations), Nuclear and High Energy Physics (20 citations) and Genetics (13 citations). H. Yu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaoling Wang, Natali Gulbahce, Vishal Anand, Chunming Qiao, Zhihua Gan, Qingsong Yu, Yitong Jiang, Yongjin Wu, Zhenshan Ding and Xiaohong Guan. Their work appears in journals such as Physical Review C, Environmental Research, Semiconductor Science and Technology, Environmental Pollution and Small.

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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