Junhao Su

631 total citations · 1 hit paper
16 papers, 216 citations indexed

About

Junhao Su is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Junhao Su has authored 16 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Plant Science. Recurrent topics in Junhao Su's work include Genomics and Phylogenetic Studies (5 papers), Smart Agriculture and AI (3 papers) and Machine Learning in Bioinformatics (2 papers). Junhao Su is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Smart Agriculture and AI (3 papers) and Machine Learning in Bioinformatics (2 papers). Junhao Su collaborates with scholars based in Hong Kong, China and United States. Junhao Su's co-authors include Tak‐Wah Lam, Ruibang Luo, Zhenxian Zheng, Amy Wing-Sze Leung, Shumin Li, Yadong Liu, Hing‐Fung Ting, Ye Wu, Tianyi Zang and Yadong Wang and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Junhao Su

13 papers receiving 216 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

2022 139 citations Zhenxian Zheng, Shumin Li et al. Nature Computational Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Junhao Su Hong Kong	6	140	58	35	24	17	16	216
Zhenxian Zheng Hong Kong	6	144 1.0×	56 1.0×	22 0.6×	27 1.1×	15 0.9×	13	233
Amy Wing-Sze Leung Hong Kong	6	146 1.0×	50 0.9×	23 0.7×	27 1.1×	18 1.1×	13	215
Konstantina Athanasopoulou Greece	7	140 1.0×	38 0.7×	26 0.7×	42 1.8×	13 0.8×	14	251
Alistair Ward United States	5	168 1.2×	121 2.1×	89 2.5×	28 1.2×	24 1.4×	7	313
Pablo Álvarez United States	6	190 1.4×	82 1.4×	35 1.0×	22 0.9×	12 0.7×	8	276
Shining Ma United States	9	173 1.2×	89 1.5×	25 0.7×	22 0.9×	22 1.3×	21	253
Johnny Debebe United Kingdom	3	159 1.1×	31 0.5×	26 0.7×	28 1.2×	7 0.4×	3	208
Rory Munro United Kingdom	5	207 1.5×	33 0.6×	39 1.1×	41 1.7×	11 0.6×	7	270
Maia Segura‐Wang Germany	7	146 1.0×	84 1.4×	43 1.2×	48 2.0×	10 0.6×	14	268
Clive Brown United Kingdom	5	189 1.4×	55 0.9×	31 0.9×	37 1.5×	5 0.3×	5	262

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-authorship network of co-authors of Junhao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Junhao Su. A scholar is included among the top collaborators of Junhao Su based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junhao Su. Junhao Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Zheng, Zhenxian, et al.. (2025). ClairS-TO: a deep-learning method for long-read tumor-only somatic small variant calling. Nature Communications. 16(1). 9630–9630.

Su, Junhao, et al.. (2025). SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation. 1–5.

Au, Man Ho, et al.. (2025). Toward owner governance in genomic data privacy with Governome. Cell Reports Methods. 5(9). 101171–101171.

Su, Junhao, Shumin Li, Zhenxian Zheng, Tak‐Wah Lam, & Ruibang Luo. (2024). ClusterV-Web: a user-friendly tool for profiling HIV quasispecies and generating drug resistance reports from nanopore long-read data. Bioinformatics Advances. 4(1). vbae006–vbae006. 1 indexed citations

Su, Junhao, Amy Wing-Sze Leung, Kenneth Leung, et al.. (2023). Long-Read Sequencing with Hierarchical Clustering for Antiretroviral Resistance Profiling of Mixed Human Immunodeficiency Virus Quasispecies. Clinical Chemistry. 69(10). 1174–1185. 5 indexed citations

Su, Junhao, Zhenxian Zheng, G. G. Siu, et al.. (2023). Evaluation of Mycobacterium tuberculosis enrichment in metagenomic samples using ONT adaptive sequencing and amplicon sequencing for identification and variant calling. Scientific Reports. 13(1). 5237–5237. 10 indexed citations

Zheng, Zhenxian, et al.. (2023). Boosting variant-calling performance with multi-platform sequencing data using Clair3-MP. BMC Bioinformatics. 24(1). 308–308. 1 indexed citations

Li, Shumin, Bin Yan, Binbin Wu, et al.. (2023). Integrated modeling framework reveals co-regulation of transcription factors, miRNAs and lncRNAs on cardiac developmental dynamics. Stem Cell Research & Therapy. 14(1). 247–247. 5 indexed citations

Su, Junhao, et al.. (2023). Exploring Pair-Aware Triangular Attention for Biomedical Relation Extraction. 1–5. 3 indexed citations

10.

Su, Junhao, et al.. (2022). Clair3-trio: high-performance Nanopore long-read variant calling in family trios with trio-to-trio deep neural networks. Briefings in Bioinformatics. 23(5). 15 indexed citations

11.

Zheng, Zhenxian, Shumin Li, Junhao Su, et al.. (2022). Symphonizing pileup and full-alignment for deep learning-based long-read variant calling. Nature Computational Science. 2(12). 797–803. 139 indexed citations breakdown →

12.

Li, Xia, et al.. (2022). Vision-based Navigation Line Extraction by Combining Crop Row Detection and RANSAC Algorithm. 2022 IEEE International Conference on Mechatronics and Automation (ICMA). 1097–1102. 2 indexed citations

13.

Li, Xia, et al.. (2022). Application of Lightweight Object Detection Network in Cucumber Leaf Detection. 2022 IEEE International Conference on Mechatronics and Automation (ICMA). 686–691. 5 indexed citations

14.

Su, Junhao, et al.. (2022). Adaptive Multi-ROI Agricultural Robot Navigation Line Extraction Based on Image Semantic Segmentation. Sensors. 22(20). 7707–7707. 12 indexed citations

15.

Su, Junhao, Ye Wu, Hing‐Fung Ting, Tak‐Wah Lam, & Ruibang Luo. (2021). RENET2: high-performance full-text gene–disease relation extraction with iterative training data expansion. NAR Genomics and Bioinformatics. 3(3). 8 indexed citations

16.

Liu, Yadong, et al.. (2021). SKSV: ultrafast structural variation detection from circular consensus sequencing reads. Bioinformatics. 37(20). 3647–3649. 10 indexed citations

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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