Runze Wang

419 total citations
20 papers, 231 citations indexed

About

Runze Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Runze Wang has authored 20 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Runze Wang's work include AI in cancer detection (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (3 papers). Runze Wang is often cited by papers focused on AI in cancer detection (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Neural Network Applications (3 papers). Runze Wang collaborates with scholars based in China, Switzerland and United States. Runze Wang's co-authors include Guoyan Zheng, Yide Ma, Yunliang Qi, Wenhao Sun, Yanan Guo, Zhengwei Qi, Jianguo Yao, Haibing Guan, Meng Lou and Kun Chen and has published in prestigious journals such as Neurocomputing, Medical Image Analysis and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Runze Wang

20 papers receiving 219 citations

Peers

Runze Wang

RNMI

CVPR

CNC

Somsak Choomchuay Thailand

Ali Mehrabi Australia

Amrita Roy Chowdhury United States

H. S. Sheshadri India

Deepak Gupta India

Huadeng Wang China

Shoaib Azmat Pakistan

Kwabena Adu Ghana

Amir Hanif Dar Pakistan

Yu Deng China

Somsak Choomchuay Thailand

Runze Wang

132 ×0.9

121 ×1.3

RNMI

134 ×1.8

CVPR

39 ×1.3

CNC

27 ×1.1

Citations per year, relative to Runze Wang Runze Wang (= 1×) peers Somsak Choomchuay

Countries citing papers authored by Runze Wang

Since Specialization

Citations

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

Fields of papers citing papers by Runze Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runze Wang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Runze, et al.. (2024). CycleSGAN: A cycle-consistent and semantics-preserving generative adversarial network for unpaired MR-to-CT image synthesis. Computerized Medical Imaging and Graphics. 117. 102431–102431. 7 indexed citations

Zhong, Woquan, et al.. (2024). MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network. International Journal of Computer Assisted Radiology and Surgery. 19(3). 507–517. 2 indexed citations

Wang, Runze & Guoyan Zheng. (2024). PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation. Computerized Medical Imaging and Graphics. 116. 102406–102406. 7 indexed citations

Wang, Runze, et al.. (2023). Biomedical Interaction Prediction with Adaptive Line Graph Contrastive Learning. Mathematics. 11(3). 732–732. 3 indexed citations

Wang, Runze, Qin Zhou, & Guoyan Zheng. (2023). EDRL: Entropy-guided disentangled representation learning for unsupervised domain adaptation in semantic segmentation. Computer Methods and Programs in Biomedicine. 240. 107729–107729. 4 indexed citations

Wang, Runze, Haoyu Jiang, & Yufei Li. (2023). UPerNet with ConvNeXt for Semantic Segmentation. 764–769. 5 indexed citations

Yuan, Yifei, Shi Chen, Runze Wang, et al.. (2022). McQueen: a Benchmark for Multimodal Conversational Query Rewrite. 4834–4844. 5 indexed citations

Zhou, Qin, Runze Wang, Guodong Zeng, Heng Fan, & Guoyan Zheng. (2022). Towards bridging the distribution gap: Instance to Prototype Earth Mover’s Distance for distribution alignment. Medical Image Analysis. 82. 102607–102607. 2 indexed citations

Li, Qing, et al.. (2022). The Impact of Partial Balance of Imbalanced Dataset on Classification Performance. Electronics. 11(9). 1322–1322. 9 indexed citations

10.

Li, Qing, et al.. (2022). A Spatio-Temporal Feature Trajectory Clustering Algorithm Based on Deep Learning. Electronics. 11(15). 2283–2283. 2 indexed citations

11.

Wang, Runze & Guoyan Zheng. (2021). CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation. Medical Image Analysis. 76. 102328–102328. 31 indexed citations

12.

Qi, Yunliang, Zhen Yang, Jing Lian, et al.. (2021). A new heterogeneous neural network model and its application in image enhancement. Neurocomputing. 440. 336–350. 17 indexed citations

13.

Lou, Meng, et al.. (2021). MGBN: Convolutional neural networks for automated benign and malignant breast masses classification. Multimedia Tools and Applications. 80(17). 26731–26750. 16 indexed citations

14.

Wang, Runze, Yunliang Qi, Meng Lou, et al.. (2021). BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram. Biomedical Signal Processing and Control. 70. 103073–103073. 18 indexed citations

15.

Zhang, Lei, et al.. (2020). Joint Intent Detection and Entity Linking on Spatial Domain Queries. 4937–4947. 1 indexed citations

16.

He, Chengbing, Li Ma, Runze Wang, & Xiaoxiang Zhang. (2020). Establishment of Wind Turbine Energy Efficiency Index System Based on F-Neighborhood Rough Set. 4 indexed citations

17.

Khatri, Chandra, Runze Wang, Huaixiu Zheng, et al.. (2020). Joint Contextual Modeling for ASR Correction and Language Understanding. 6349–6353. 26 indexed citations

18.

Wang, Runze, et al.. (2019). Multi-level nested pyramid network for mass segmentation in mammograms. Neurocomputing. 363. 313–320. 47 indexed citations

19.

Wang, Runze, et al.. (2015). BMA: Bandwidth allocation management for distributed systems under cloud gaming. 414–418. 2 indexed citations

20.

Guan, Haibing, Jianguo Yao, Zhengwei Qi, & Runze Wang. (2014). Energy-Efficient SLA Guarantees for Virtualized GPU in Cloud Gaming. IEEE Transactions on Parallel and Distributed Systems. 26(9). 2434–2443. 23 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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