Zelin Zang

488 total citations
19 papers, 132 citations indexed

About

Zelin Zang is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Zelin Zang has authored 19 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Zelin Zang's work include Single-cell and spatial transcriptomics (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Zelin Zang is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Advanced Graph Neural Networks (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Zelin Zang collaborates with scholars based in China, India and United Kingdom. Zelin Zang's co-authors include Stan Z. Li, Weikun Li, Wanliang Wang, Yule Wang, Yanwei Zhao, Yuhang Song, Yongjie Xu, Guoqi Chen, Mohammad Shikh‐Bahaei and Honghai Liu and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and Neural Networks.

In The Last Decade

Zelin Zang

15 papers receiving 132 citations

Peers

Zelin Zang

IME

CVPR

CNC

Jiawei Huang Japan

Chaitanya K. Joshi Singapore

Sibo Song China

Bertram Nickolay Germany

Jérôme Durand-Lose France

B. Paulchamy India

Jason Wang China

Grzegorz Blinowski Poland

Ziyi Yang China

William T. Katz United States

Jiawei Huang Japan

Zelin Zang

17 ×0.4

12 ×0.4

IME

46 ×1.8

CVPR

10 ×0.6

9 ×0.6

CNC

Citations per year, relative to Zelin Zang Zelin Zang (= 1×) peers Jiawei Huang

Countries citing papers authored by Zelin Zang

Since Specialization

Citations

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

Fields of papers citing papers by Zelin Zang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zelin Zang

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

All Works

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19 of 19 papers shown

Xu, Miao, et al.. (2025). Deep Multimanifold Transformation-Based Multivariate Time Series Fault Detection. IEEE Transactions on Neural Networks and Learning Systems. 36(10). 18397–18407.

Zang, Zelin, et al.. (2025). USD: Unsupervised Soft Contrastive Learning for Fault Detection in Multivariate Time Series. 1–5. 1 indexed citations

Zang, Zelin, et al.. (2025). MuST: multiple-modality structure transformation for single-cell spatial transcriptomics. Briefings in Bioinformatics. 26(4).

Xu, Yongjie, Zelin Zang, Bozhen Hu, et al.. (2024). Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings in Bioinformatics. 26(1).

Zang, Zelin, et al.. (2024). A Review of BioTree Construction in the Context of Information Fusion: Priors, Methods, Applications and Trends. arXiv (Cornell University). 1 indexed citations

Li, Siyuan, et al.. (2024). PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation. 131676–131703.

Li, Siyuan, Zicheng Liu, Zelin Zang, et al.. (2024). GenURL: A General Framework for Unsupervised Representation Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 286–298. 3 indexed citations

Zang, Zelin, et al.. (2023). UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. Neural Networks. 161. 626–637. 11 indexed citations

Xu, Yongjie, et al.. (2023). Structure-preserving visualization for single-cell RNA-Seq profiles using deep manifold transformation with batch-correction. Communications Biology. 6(1). 369–369. 6 indexed citations

10.

Zang, Zelin, et al.. (2023). Machine Learning for Predictive Deployment of UAVs With Multiple Access. IEEE Open Journal of the Communications Society. 4. 908–921. 10 indexed citations

11.

Zang, Zelin, Lei Shang, Fei Wang, et al.. (2023). Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. 11824–11833. 7 indexed citations

12.

Hu, Bozhen, Zelin Zang, Jun Xia, et al.. (2023). Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. 1–5. 2 indexed citations

13.

Wu, Lirong, Zicheng Liu, Jun Xia, et al.. (2022). Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1668–1676. 6 indexed citations

14.

Zang, Zelin, Siyuan Li, Di Wu, et al.. (2022). Deep manifold embedding of attributed graphs. Neurocomputing. 514. 83–93. 4 indexed citations

15.

Liu, Zihan, Yun Luo, Zelin Zang, & Stan Z. Li. (2022). Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. arXiv (Cornell University). 591–598. 9 indexed citations

16.

Zang, Zelin, Shenghui Cheng, Yaoting Sun, et al.. (2022). DMT-EV: An Explainable Deep Network for Dimension Reduction. IEEE Transactions on Visualization and Computer Graphics. 30(3). 1710–1727. 9 indexed citations

17.

Li, Stan Z., Zelin Zang, & Lirong Wu. (2020). Deep Manifold Computing and Visualization. arXiv (Cornell University). 2 indexed citations

18.

Chen, Guoqi, Wanliang Wang, Zheng Wang, et al.. (2020). Two-dimensional discrete feature based spatial attention CapsNet For sEMG signal recognition. Applied Intelligence. 50(10). 3503–3520. 20 indexed citations

19.

Zang, Zelin, Wanliang Wang, Yuhang Song, et al.. (2019). Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation. Computational Intelligence and Neuroscience. 2019. 1–19. 41 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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