Wenhao Wu

929 total citations
44 papers, 322 citations indexed

About

Wenhao Wu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Wenhao Wu has authored 44 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Wenhao Wu's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Glioma Diagnosis and Treatment (8 papers). Wenhao Wu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Glioma Diagnosis and Treatment (8 papers). Wenhao Wu collaborates with scholars based in China, United States and Hong Kong. Wenhao Wu's co-authors include Liwei Zhang, Junting Zhang, Cheng Xu, Changcun Pan, Yu Sun, Yibo Geng, Yuliang Wu, Yu Wang, Bill H. Diplas and Zhen Wu and has published in prestigious journals such as Cancer Research, Expert Systems with Applications and Aquaculture.

In The Last Decade

Wenhao Wu

35 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenhao Wu China 9 146 137 135 61 39 44 322
Jeanette Krogh Petersen Denmark 7 137 0.9× 177 1.3× 87 0.6× 59 1.0× 32 0.8× 15 292
Romina Nejad Canada 10 226 1.5× 153 1.1× 197 1.5× 62 1.0× 51 1.3× 19 468
Yonggang Wang China 9 116 0.8× 128 0.9× 132 1.0× 62 1.0× 23 0.6× 16 331
Soheil Zorofchian United States 8 114 0.8× 137 1.0× 79 0.6× 97 1.6× 23 0.6× 10 336
M Łysiak Sweden 10 121 0.8× 150 1.1× 82 0.6× 60 1.0× 24 0.6× 18 273
Tai-Wei Erich Wu Taiwan 7 90 0.6× 100 0.7× 72 0.5× 49 0.8× 40 1.0× 13 297
Donatella Bianchessi Italy 9 122 0.8× 176 1.3× 88 0.7× 77 1.3× 42 1.1× 11 306
Kelsey C. Bertrand United States 10 215 1.5× 86 0.6× 93 0.7× 55 0.9× 17 0.4× 22 346
Benedicte P. Ulhøi Denmark 6 223 1.5× 93 0.7× 169 1.3× 54 0.9× 15 0.4× 9 321
C. Cruz United States 4 152 1.0× 240 1.8× 115 0.9× 74 1.2× 22 0.6× 6 394

Countries citing papers authored by Wenhao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wenhao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhao Wu. A scholar is included among the top collaborators of Wenhao Wu 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 Wenhao Wu. Wenhao Wu 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.
Pang, Shanchen, et al.. (2025). Higher-Order Weighted Perturbation-Based Multilevel Information Fusion Model for Predicting CircRNA–Disease Associations. Journal of Chemical Information and Modeling. 65(13). 7302–7314.
2.
Wu, Wenhao, et al.. (2025). scMDCL: A Deep Collaborative Contrastive Learning Framework for Matched Single-Cell Multiomics Data Clustering. Journal of Chemical Information and Modeling. 65(6). 3048–3063. 1 indexed citations
3.
Hu, Yue, Francis Deng, Wenhao Wu, et al.. (2025). Ultrashort echo time bi-component analysis of tibiotalar articular cartilage after long-distance running. European Radiology. 36(3). 2113–2124. 2 indexed citations
4.
5.
Wang, Shudong, et al.. (2025). A rapid prediction model for MiRNA-LncRNA interactions utilizing multi-view projection fusion and random parallel matrix factorization. International Journal of Biological Macromolecules. 321(Pt 3). 145404–145404.
6.
7.
Pang, Shanchen, et al.. (2025). Convolution Bridge: An Effective Algorithmic Migration Strategy From CNNs to GNNs. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10764–10778. 1 indexed citations
8.
Wu, Wenhao, et al.. (2024). MOHGCN: A trustworthy multi-omics data integration framework based on specificity-aware heterogeneous graph convolutional neural networks for disease diagnosis. Expert Systems with Applications. 263. 125772–125772. 2 indexed citations
9.
10.
Wu, Wenhao, et al.. (2024). MOSGAT: Uniting Specificity-Aware GATs and Cross Modal-Attention to Integrate Multi-Omics Data for Disease Diagnosis. IEEE Journal of Biomedical and Health Informatics. 28(9). 5624–5637. 3 indexed citations
11.
Wang, Shudong, Hao Wu, Shanchen Pang, et al.. (2024). scSID: A lightweight algorithm for identifying rare cell types by capturing differential expression from single-cell sequencing data. Computational and Structural Biotechnology Journal. 23. 589–600. 1 indexed citations
12.
Wu, Wenhao, et al.. (2024). Recognition method of subway tunnel leakage diseases based on semantic segmentation. 240–240. 2 indexed citations
13.
Zhang, Fuzhen, Sufang Jiang, Shizhao Wang, et al.. (2023). Eligibility for elective surgery in patients recovering from mild COVID‐19: A propensity‐matched analysis. Journal of Surgical Oncology. 128(8). 1219–1226.
14.
Wang, Shudong, et al.. (2023). AMCSMMA: Predicting Small Molecule–miRNA Potential Associations Based on Accurate Matrix Completion. Cells. 12(8). 1123–1123. 2 indexed citations
15.
Wang, Shudong, et al.. (2023). scASGC: An adaptive simplified graph convolution model for clustering single-cell RNA-seq data. Computers in Biology and Medicine. 163. 107152–107152. 7 indexed citations
16.
Zuo, Pengcheng, Tian Li, Tao Sun, et al.. (2023). Clinical features and surgical outcomes of high grade pleomorphic xanthoastrocytomas: a single-center experience with a systematic review. Frontiers in Oncology. 13. 1193611–1193611. 1 indexed citations
17.
Zuo, Pengcheng, Mingxin Zhang, Wenhao Wu, et al.. (2023). Primary intracranial histiocytic sarcomas: a report of six cases and a pooled analysis of individual patient data. Journal of Cancer Research and Clinical Oncology. 149(13). 12071–12079. 1 indexed citations
18.
Zheng, Wei, et al.. (2022). Lnc524369 promotes hepatocellular carcinoma progression and predicts poor survival by activating YWHAZ-RAF1 signaling. World Journal of Gastrointestinal Oncology. 14(1). 253–264. 1 indexed citations
19.
Wang, Shudong, et al.. (2022). SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder. Cells. 11(24). 3984–3984. 7 indexed citations
20.
Sun, Yu, Cheng Xu, Changcun Pan, et al.. (2019). Diffuse Intrinsic Pontine Gliomas Exhibit Cell Biological and Molecular Signatures of Fetal Hindbrain-Derived Neural Progenitor Cells. Neuroscience Bulletin. 35(2). 216–224. 9 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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