Junyuan Shang

1.8k total citations · 1 hit paper
30 papers, 779 citations indexed

About

Junyuan Shang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Junyuan Shang has authored 30 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Junyuan Shang's work include Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (8 papers) and Machine Learning and ELM (7 papers). Junyuan Shang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (15 papers), Multimodal Machine Learning Applications (8 papers) and Machine Learning and ELM (7 papers). Junyuan Shang collaborates with scholars based in China, United States and United Kingdom. Junyuan Shang's co-authors include Shenda Hong, Cao Xiao, Jimeng Sun, Yuxi Zhou, Hongyan Li, Tengfei Ma, Junqing Xie, Qingyun Wang, Zhiheng Zhou and Moxian Song and has published in prestigious journals such as Expert Systems with Applications, Sensors and Neurocomputing.

In The Last Decade

Junyuan Shang

29 papers receiving 766 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.

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

2020 293 citations Shenda Hong, Yuxi Zhou et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junyuan Shang China	10	431	276	267	110	106	30	779
Rekh Ram Janghel India	16	358 0.8×	301 1.1×	298 1.1×	143 1.3×	80 0.8×	62	977
Rahime Ceylan Türkiye	9	388 0.9×	299 1.1×	124 0.5×	142 1.3×	56 0.5×	24	618
Jun Dong China	13	508 1.2×	379 1.4×	60 0.2×	222 2.0×	123 1.2×	31	687
Zeeshan Syed United States	15	217 0.5×	92 0.3×	136 0.5×	48 0.4×	101 1.0×	57	531
Joel EW Koh Singapore	7	296 0.7×	181 0.7×	66 0.2×	138 1.3×	80 0.8×	8	529
Kayapanda Mandana India	16	834 1.9×	485 1.8×	120 0.4×	277 2.5×	340 3.2×	42	1.2k
Lina Zhao China	17	1.1k 2.6×	645 2.3×	117 0.4×	424 3.9×	183 1.7×	62	1.4k
Imtiaz Ahmed Awan Pakistan	11	86 0.2×	82 0.3×	193 0.7×	74 0.7×	72 0.7×	18	455
Fatin A. Elhaj Malaysia	6	318 0.7×	241 0.9×	78 0.3×	135 1.2×	68 0.6×	11	495

Countries citing papers authored by Junyuan Shang

Since Specialization

Citations

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

Fields of papers citing papers by Junyuan Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junyuan Shang

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

All Works

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20 of 20 papers shown

Shang, Junyuan, et al.. (2024). Superclass-aware visual feature disentangling for generalized zero-shot learning. Expert Systems with Applications. 258. 125150–125150. 1 indexed citations

Shang, Junyuan, et al.. (2024). Generalized zero-shot action recognition through reservation-based gate and semantic-enhanced contrastive learning. Knowledge-Based Systems. 301. 112283–112283. 2 indexed citations

Zhou, Zhiheng, et al.. (2024). BiPC: Bidirectional Probability Calibration for Unsupervised Domain Adaption. Expert Systems with Applications. 261. 125460–125460.

Shang, Junyuan, et al.. (2024). Consistent representation joint adaptive adjustment for incremental zero-shot learning. Neurocomputing. 606. 128385–128385. 1 indexed citations

Shang, Junyuan, et al.. (2023). Graph-Based Semantic Embedding Refinement for Zero-Shot Remote Sensing Image Scene Classification. IEEE Transactions on Aerospace and Electronic Systems. 60(1). 644–657. 8 indexed citations

Zhou, Zhiheng, et al.. (2022). Inpainting Digital Dunhuang Murals with Structure-Guided Deep Network. Journal on Computing and Cultural Heritage. 15(4). 1–25. 18 indexed citations

Shang, Junyuan, et al.. (2022). Unbiased feature generating for generalized zero-shot learning. Journal of Visual Communication and Image Representation. 89. 103657–103657. 4 indexed citations

Shang, Junyuan, et al.. (2022). Few-shot domain adaptation through compensation-guided progressive alignment and bias reduction. Applied Intelligence. 52(10). 10917–10933. 2 indexed citations

Ding, Siyu, Junyuan Shang, Shuohuan Wang, et al.. (2021). ERNIE-Doc: A Retrospective Long-Document Modeling Transformer. 2914–2927. 24 indexed citations

10.

Zhou, Yuxi, Shenda Hong, Junyuan Shang, et al.. (2020). Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors. 20(24). 7307–7307. 6 indexed citations

11.

Hong, Shenda, Yuxi Zhou, Junyuan Shang, Cao Xiao, & Jimeng Sun. (2020). Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review. Computers in Biology and Medicine. 122. 103801–103801. 293 indexed citations breakdown →

12.

Shang, Junyuan, et al.. (2020). Common‐specific feature learning for multi‐source domain adaptation. IET Image Processing. 14(16). 4049–4058. 2 indexed citations

13.

Hong, Shenda, et al.. (2019). Combining deep neural networks and engineered features for cardiac arrhythmia detection from ECG recordings. Physiological Measurement. 40(5). 54009–54009. 61 indexed citations

14.

Hong, Shenda, Yuxi Zhou, Junyuan Shang, Cao Xiao, & Jimeng Sun. (2019). Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review. arXiv (Cornell University). 13 indexed citations

15.

Zhou, Yuxi, Shenda Hong, Junyuan Shang, et al.. (2019). K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. 6057–6063. 15 indexed citations

16.

Zhang, Pengyu, et al.. (2019). Joint category-level and discriminative feature learning networks for unsupervised domain adaptation. Journal of Intelligent & Fuzzy Systems. 37(6). 8499–8510. 2 indexed citations

17.

Shang, Junyuan, et al.. (2018). Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. Asian Conference on Machine Learning. 831–846. 3 indexed citations

18.

Shang, Junyuan, et al.. (2018). Evaluated Distribution Alignment for Heterogeneous Image Recognition. 39–43. 1 indexed citations

19.

Ma, Tengfei, Cao Xiao, Junyuan Shang, & Jimeng Sun. (2018). CGNF: Conditional Graph Neural Fields. 4 indexed citations

20.

Hong, Shenda, Yuxi Zhou, Qingyun Wang, et al.. (2017). ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. Computing in cardiology. 44. 107 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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