Li Yi Yang

593 citations
4 papers · 15 · h-index 2

Impact in

    • Chronic Myeloid Leukemia Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Cancer-related gene regulation 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Chronic Lymphocytic Leukemia Research 1
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 1

Li Yi Yang

4 papers receiving 14 citations

Peers

Li Yi Yang
Comparison fields: 5 of 16
  • Hematology 5
  • Genetics 4
  • Rheumatology 3
  • Transportation 1
  • Media Technology 1
Replace Carlos Besses Raebel with:
Carlos Besses Raebel Spain
Catherine Roughley United Kingdom
Haroon Miah United Kingdom
Carolyn M Butcher Australia
Victor Pastor Loyola United States
Claes Christian Strom United States
Kimberly R. Reynolds United States
Susie Owenby United States
Nicole Priddee United Kingdom
Brigitte Bolduc Canada
Li Yi Yang relative to Carlos Besses Raebel Spain Carlos Besses Raebel's profile →
Citations per field
00.5×1.7×
Carlos Besses Raebel · 1×
Citations per year

Countries citing papers authored by Li Yi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Li Yi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Li Yi 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 Li Yi Yang Line = papers co-authored together Li Yi Yang links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Li Yi Yang

Li Yi Yang is a scholar working on Molecular Biology, Genetics, Computer Vision and Pattern Recognition, Media Technology and Transplantation, having authored 4 papers that have together received 15 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper), IoT-based Smart Home Systems (1 paper), Cancer-related gene regulation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Context-Aware Activity Recognition Systems (1 paper) and Renal Transplantation Outcomes and Treatments (1 paper). The work is most often cited by research in Hematology (5 citations), Genetics (4 citations), Rheumatology (3 citations), Transportation (1 citation) and Media Technology (1 citation). Li Yi Yang has collaborated with scholars based in Singapore and China. Frequent co-authors include Fei Teng, Tianrui Li, Michelle Poon, Balram Chowbay, Charles Chuah, Zhenping Wang, Yeow Tee Goh, Ai Leen Ang, Liang Piu Koh and Yi Luo. Their work appears in journals such as Blood, IEEE Transactions on Knowledge and Data Engineering, European journal of medical research and British Journal of Nursing.

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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