Hanyu Jiang

1.4k citations

12 papers · 916 indexed · 1 hit paper · h-index 7

Artificial Intelligence top 2%
Aerospace Engineering top 5%
Molecular Biology
Radiology, Nuclear Medicine and Imaging top 10%
Electrical and Electronic Engineering

Co-authors: Yudong Yao Huaxia Wang Shengliang Peng Hathal Salamah AlwageedYu ZhouHao ZhangMo Li Junchang Xin
Topics: Machine Learning in Bioinformatics (5 papers)Genomics and Phylogenetic Studies (3 papers)RNA and protein synthesis mechanisms (2 papers)
Cited by: Artificial Intelligence Neurology Aerospace Engineering
Journals: IEEE Access BMC Bioinformatics IEEE Transactions on Neural Networks and Learning Systems
Partner nations: United States China

In The Last Decade

Hanyu Jiang

12 papers receiving 881 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.

Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

2018 449 citations Shengliang Peng, Hanyu Jiang et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers

Countries citing papers authored by Hanyu Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Hanyu Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanyu Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanyu Jiang. A scholar is included among the top collaborators of Hanyu Jiang 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 Hanyu Jiang. Hanyu Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Segmentation of Seabed Sediment Images Based on Convolutional Neural Network 2024 ·Yanchang Liu,(unknown),Liqun Shan,(unknown),Hanyu Jiang,Yan Wang,Xiali Hei	2
2	Calcium oscillation on homogeneous and heterogeneous networks of ryanodine receptor 2023 ·Physical review. E ·(unknown),Tiantian Li,Hanyu Jiang,Jun He	2
3	Hidden and doubly heavy molecular states from interactions $$D^{()}_{(s)}{{\bar{D}}}^{()}_{s}$$/$$B^{()}_{(s)}{{\bar{B}}}^{()}_{s}$$ and $${D}^{()}_{(s)}D_{s}^{()}$$/$${B}^{()}_{(s)}B_{s}^{()}$$ 2021 ·The European Physical Journal C ·(unknown),Hanyu Jiang,Dan Song,Jun He	23
4	Physiological and transcriptome analysis of Poa pratensis var. anceps cv. Qinghai in response to cold stress 2020 ·BMC Plant Biology ·(unknown),Xiang Ma,Hanyu Jiang,(unknown),Huiling Ma	34
5	Possible molecular states from the NΔ interaction 2020 ·Physical review. C ·(unknown),Hanyu Jiang,Jun He	6
6	Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features 2019 ·IEEE Access ·Zhiqiong Wang,Mo Li,Huaxia Wang,Hanyu Jiang,Yudong Yao,Hao Zhang,Junchang Xin	240
7	Modulation Classification Based on Signal Constellation Diagrams and Deep Learningbreakdown → 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Shengliang Peng,Hanyu Jiang,Huaxia Wang,Hathal Salamah Alwageed,Yu Zhou,(unknown),Yudong Yao	449
8	CUDAMPF++: A Proactive Resource Exhaustion Scheme for Accelerating Homologous Sequence Search on CUDA-Enabled GPU 2018 ·IEEE Transactions on Parallel and Distributed Systems ·Hanyu Jiang,Narayan Ganesan,Yudong Yao	3
9	Modulation classification using convolutional Neural Network based deep learning model 2017 ·Shengliang Peng,Hanyu Jiang,Huaxia Wang,Hathal Salamah Alwageed,Yudong Yao	138
10	CUDAMPF: a multi-tiered parallel framework for accelerating protein sequence search in HMMER on CUDA-enabled GPU 2016 ·BMC Bioinformatics ·Hanyu Jiang,Narayan Ganesan	11
11	Fine-Grained Acceleration of HMMER 3.0 via Architecture-Aware Optimization on Massively Parallel Processors 2015 ·Hanyu Jiang,Narayan Ganesan	4
12	Process Simulation of Complex Biological Pathways in Physical Reactive Space and Reformulated for Massively Parallel Computing Platforms 2015 ·IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Narayan Ganesan,Jie Li,Vishakha Sharma,Hanyu Jiang,Adriana Compagnoni	4

About Hanyu Jiang

Hanyu Jiang is a scholar working on Biophysics, Geochemistry and Petrology and Nuclear and High Energy Physics, having authored 12 papers that have together received 916 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (3 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Artificial Intelligence (737 citations), Neurology (73 citations) and Aerospace Engineering (209 citations). Hanyu Jiang has collaborated with scholars based in United States and China. Frequent co-authors include Yudong Yao, Huaxia Wang, Shengliang Peng, Hathal Salamah Alwageed, Yu Zhou, Hao Zhang, Mo Li, Junchang Xin, Zhiqiong Wang and Narayan Ganesan. Their work appears in journals such as IEEE Access, BMC Bioinformatics and IEEE Transactions on Neural Networks and Learning Systems.

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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