Xiaodi Yang

1.3k citations
45 papers · 896 · h-index 15

Impact in

Papers in

    • Bioinformatics and Genomic Networks 10
    • Machine Learning in Bioinformatics 8
    • Protein Structure and Dynamics 3
    • Receptor Mechanisms and Signaling 3
    • RNA and protein synthesis mechanisms 3

Xiaodi Yang

40 papers receiving 882 citations

Peers

Xiaodi Yang
Comparison fields: 5 of 150
  • Health, Toxicology and Mutagenesis 101
  • Building and Construction 78
  • Molecular Biology 332
  • Pollution 55
  • Biomaterials 51
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Citations per field
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Citations per year

Countries citing papers authored by Xiaodi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaodi Yang, 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 Xiaodi Yang Line = papers co-authored together Xiaodi Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 202191
3 200173
4 201068
5 201160
6 202055
7 202153
8 202052
9 200849
10 202042
11 202131
12 202123
13 202023
14 202320
15 202114
16 202211
17 202210
18
BUILDING INVESTMENT DECISION SUPPORT (BIDS™) Cost-Benefit Tool to Promote High Performance Components, Flexible Infrastructures and Systems Integration for Sustainable Commercial Buildings and Productive Organizations
200510
19 20209
20 20099

About Xiaodi Yang

Xiaodi Yang is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Oncology and Computational Theory and Mathematics, having authored 45 papers that have together received 896 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Machine Learning in Bioinformatics (8 papers), Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers), Receptor Mechanisms and Signaling (3 papers), Environmental Impact and Sustainability (3 papers), Energy, Environment, Economic Growth (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (101 citations), Building and Construction (78 citations), Molecular Biology (332 citations), Pollution (55 citations) and Biomaterials (51 citations). Xiaodi Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ziding Zhang, Shiping Yang, Stefan Wuchty, Xianyi Lian, Ying Hua, Di Wang, Shuping Bi, Xianlong Wang, Fuping Zhang and Mario Tiberi. Their work appears in journals such as Briefings in Bioinformatics, Frontiers in Energy Research, Cellular Signalling, Computational and Structural Biotechnology Journal and mSystems.

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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