Junhao Su

678 citations
17 papers · 252 · 1 hit paper · h-index 6

Impact in

    • Genomics and Rare Diseases
    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • Molecular Biology Techniques and Applications
    • Biomedical Text Mining and Ontologies

Papers in

Junhao Su

14 papers receiving 251 citations

Junhao Su's Hit Papers

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling 2022 · 168 citations
1680+1+2Years since publication50100150

Peers

Junhao Su
Comparison fields: 5 of 70
  • Genetics 56
  • Molecular Biology 128
  • Cancer Research 22
  • Aging 2
  • Horticulture 1
Replace Amy Wing-Sze Leung with:
Amy Wing-Sze Leung Hong Kong
Zhenxian Zheng Hong Kong
Mark Fleharty United States
Alice Maria Giani United States
Gaowen Liu China
Maia Segura‐Wang Germany
Rory Munro United Kingdom
Michael A. Boemo United Kingdom
Alberto Carignano United States
Junhao Su relative to Amy Wing-Sze Leung Hong Kong Amy Wing-Sze Leung's profile →
Citations per field
00.5×1.5×
Amy Wing-Sze Leung · 1×
Citations per year

Countries citing papers authored by Junhao Su

Since Specialization
Citations

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

Fields of papers citing papers by Junhao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Symphonizing pileup and full-alignment for deep learning-based long-read variant calling
Hit paper breakdown →
2022168
2 202217
3 202214
4 202310
5 202110
6 20219
7 20235
8 20235
9 20225
10 20233
11 20252
12 20222
13 20241
14 20231
15 20240
16 20250
17 20250

About Junhao Su

Junhao Su is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Information Systems and Infectious Diseases, having authored 17 papers that have together received 252 indexed citations. Recurring topics across this work include Smart Agriculture and AI (3 papers), Topic Modeling (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Natural Language Processing Techniques (2 papers), Cellular Automata and Applications (1 paper), Hand Gesture Recognition Systems (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Genetics (56 citations), Molecular Biology (128 citations), Cancer Research (22 citations), Aging (2 citations) and Horticulture (1 citation). Junhao Su has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Ruibang Luo, Tak‐Wah Lam, Zhenxian Zheng, Amy Wing-Sze Leung, Shumin Li, Syed Shakeel Ahmed, Tao Jiang, Hing‐Fung Ting, Yadong Liu and Yadong Wang. Their work appears in journals such as Bioinformatics, Stem Cell Research & Therapy, Nature Computational Science, Sensors and Clinical Chemistry.

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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