Yuping Sun

1.6k total citations
56 papers, 1.2k citations indexed

About

Yuping Sun is a scholar working on Molecular Biology, Cancer Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuping Sun has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cancer Research and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuping Sun's work include Cancer-related molecular mechanisms research (10 papers), Computational Drug Discovery Methods (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Yuping Sun is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Computational Drug Discovery Methods (7 papers) and Lung Cancer Treatments and Mutations (5 papers). Yuping Sun collaborates with scholars based in China, United States and Singapore. Yuping Sun's co-authors include Yuhui Quan, Yong Xu, Guobo Xie, Ann Kari Lefvert, Ricardo Giscombe, Xiongbiao Wang, Yunshan Wang, Ming Gu, Jianqiang Zhao and Yan Huang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Yuping Sun

52 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuping Sun 305 301 209 206 177 56 1.2k
Kui Wu 357 1.2× 402 1.3× 160 0.8× 161 0.8× 299 1.7× 89 1.3k
Yingying Yu 366 1.2× 380 1.3× 106 0.5× 144 0.7× 182 1.0× 47 1.1k
Qiang Kang 200 0.7× 345 1.1× 77 0.4× 45 0.2× 217 1.2× 65 1.1k
Subramanian Ramakrishnan 179 0.6× 368 1.2× 143 0.7× 111 0.5× 142 0.8× 78 1.3k
Lili Wu 150 0.5× 233 0.8× 220 1.1× 112 0.5× 127 0.7× 57 909
Paul G. O’Reilly 286 0.9× 364 1.2× 87 0.4× 28 0.1× 150 0.8× 51 1.0k
Daisuke Komura 306 1.0× 434 1.4× 145 0.7× 231 1.1× 188 1.1× 63 1.5k
Haodong Li 119 0.4× 231 0.8× 145 0.7× 1.1k 5.3× 103 0.6× 76 2.0k
Linnan Zhu 304 1.0× 594 2.0× 828 4.0× 28 0.1× 193 1.1× 44 1.9k
José A. Seoane 396 1.3× 839 2.8× 136 0.7× 58 0.3× 372 2.1× 55 1.6k

Countries citing papers authored by Yuping Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yuping Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuping Sun

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

All Works

20 of 20 papers shown
1.
Gu, Guosheng, Haowei Wu, Haojie Han, et al.. (2025). MVSGDR: multi-view stacked graph convolutional network for drug repositioning. Briefings in Bioinformatics. 26(5). 1 indexed citations
2.
3.
Sun, Yuping, Zuke Xiao, Ying Cheng, et al.. (2024). Datopotamab deruxtecan (Dato-DXd) in Chinese patients (pts) with advanced or metastatic non-small cell lung cancer (NSCLC): Results from the phase 1/2 TROPION-PanTumor02 study.. Journal of Clinical Oncology. 42(16_suppl). 8548–8548. 4 indexed citations
4.
Sun, Yuping, et al.. (2024). A Molecular Fragment Representation Learning Framework for Drug–Drug Interaction Prediction. Interdisciplinary Sciences Computational Life Sciences. 17(1). 42–58. 2 indexed citations
5.
Liang, Junwu, Yuping Sun, & Jie Ling. (2024). GRL–PUL: predicting microbe–drug association based on graph representation learning and positive unlabeled learning. Molecular Omics. 21(1). 38–50.
6.
Sun, Yuping, et al.. (2023). GNAEMDA: Microbe-Drug Associations Prediction on Graph Normalized Convolutional Network. IEEE Journal of Biomedical and Health Informatics. 27(3). 1635–1643. 13 indexed citations
7.
Sun, Yuping, et al.. (2023). BDN-DDI: A bilinear dual-view representation learning framework for drug–drug interaction prediction. Computers in Biology and Medicine. 165. 107340–107340. 12 indexed citations
8.
Xie, Guobo, Jianming Li, Guosheng Gu, et al.. (2022). DRPADC: A novel drug repositioning algorithm predicting adaptive drugs for COVID-19. Computers & Chemical Engineering. 166. 107947–107947. 7 indexed citations
9.
Sun, Yuping, et al.. (2022). Predicting miRNA-Disease Associations via Node-Level Attention Graph Auto-Encoder. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(2). 1308–1318. 33 indexed citations
10.
Su, Qing, et al.. (2022). SimH: A Novel Representation Learning Model With Activation and Projection Mechanisms for COVID-19 Knowledge Bases. IEEE Journal of Biomedical and Health Informatics. 26(12). 5859–5869. 1 indexed citations
11.
Xie, Guobo, Zhiyi Lin, Yuping Sun, et al.. (2021). HOPMCLDA: predicting lncRNA–disease associations based on high-order proximity and matrix completion. Molecular Omics. 17(5). 760–768. 4 indexed citations
12.
Xie, Guobo, Jianming Li, Guosheng Gu, et al.. (2021). BGMSDDA: a bipartite graph diffusion algorithm with multiple similarity integration for drug–disease association prediction. Molecular Omics. 17(6). 997–1011. 17 indexed citations
13.
Chen, Zirong, Wei Ni, Jian‐Liang Li, et al.. (2021). The CRTC1-MAML2 fusion is the major oncogenic driver in mucoepidermoid carcinoma. JCI Insight. 6(7). 43 indexed citations
14.
Xie, Guobo, et al.. (2021). RWSF-BLP: a novel lncRNA-disease association prediction model using random walk-based multi-similarity fusion and bidirectional label propagation. Molecular Genetics and Genomics. 296(3). 473–483. 17 indexed citations
15.
Xie, Guobo, Hui Chen, Yuping Sun, et al.. (2021). Predicting circRNA-Disease Associations Based on Deep Matrix Factorization with Multi-source Fusion. Interdisciplinary Sciences Computational Life Sciences. 13(4). 582–594. 11 indexed citations
16.
Xie, Guobo, et al.. (2020). LDA-LNSUBRW: lncRNA-Disease Association Prediction Based on Linear Neighborhood Similarity and Unbalanced bi-Random Walk. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 989–997. 37 indexed citations
17.
Xie, Guobo, et al.. (2019). WBNPMD: weighted bipartite network projection for microRNA-disease association prediction. Journal of Translational Medicine. 17(1). 322–322. 19 indexed citations
18.
Li, Min, et al.. (2018). Analysis of Fire Risk Associated with Photovoltaic Power Generation System. Advances in Civil Engineering. 2018(1). 8 indexed citations
19.
20.
Sun, Yuping, et al.. (2015). The Insulator to Superconductor Transition in Ga-Doped Semiconductor Ge Single Crystal Induced by the Annealing Temperature. Advances in Condensed Matter Physics. 2015. 1–4. 1 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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