Jialiang Yang

15.2k citations
182 papers · 4.1k indexed · 2 hit papers · h-index 36

Impact in

    • Cancer-related molecular mechanisms research
    • Machine Learning in Bioinformatics
    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms

Papers in

    • Cancer-related molecular mechanisms research 17
    • Cancer Genomics and Diagnostics 13

Jialiang Yang

171 papers receiving 4.0k citations

Hit Papers

A weighted bilinear neural collaborative filtering approach for drug repositioning 2022 · 119 citations
119202120262022202450100150

Peers

Jialiang Yang
Comparison fields: 5 of 169
  • Cancer Research 849
  • Molecular Biology 2.3k
  • Computational Theory and Mathematics 522
  • Health Informatics 26
  • Oncology 456
Replace Xiaochen Bo with:
Xiaochen Bo China
Jiangning Song Australia
Seiya Imoto Japan
Yuhang Zhang China
Michael Reich United States
Rainer Spang Germany
James C. Costello United States
Jiguang Wang China
Shanrong Zhao United States
Tzong-Yi Lee Taiwan
Jialiang Yang relative to Xiaochen Bo China Xiaochen Bo's profile →
Citations per field
00.5×2.7×
Xiaochen Bo · 1×
Citations per year

Countries citing papers authored by Jialiang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jialiang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20257
3 20252
4 20252
5 20250
6 20250
7 20242
8 202412
9 202420
10 202310
11 20232
12 20236
13 202313
14 202324
15 202019
16 202011
17 20197
18 201884
19 201786
20 20169

About Jialiang Yang

Jialiang Yang is a scholar working on Aging, Cancer Research, Computational Theory and Mathematics, Molecular Biology and Oncology, having authored 182 papers that have together received 4.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Computational Drug Discovery Methods (23 papers), Machine Learning in Bioinformatics (21 papers), Cancer-related molecular mechanisms research (17 papers), Genomics and Phylogenetic Studies (15 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), RNA and protein synthesis mechanisms (14 papers) and Cancer Genomics and Diagnostics (13 papers). The work is most often cited by research in Cancer Research (849 citations), Molecular Biology (2.3k citations), Computational Theory and Mathematics (522 citations), Health Informatics (26 citations) and Oncology (456 citations). Jialiang Yang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Geng Tian, Lihong Peng, Yajie Meng, Zhidong Tu, Jidong Lang, Lijun Cai, Junlin Xu, Bo Liao, Pingping Bing and Changcheng Lu. Their work appears in journals such as Frontiers in Genetics, Scientific Reports, IEEE Access, Frontiers in Bioengineering and Biotechnology and PLoS ONE.

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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