Ruixuan Wang

3.9k total citations · 3 hit papers
96 papers, 1.8k citations indexed

About

Ruixuan Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ruixuan Wang has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 31 papers in Computer Vision and Pattern Recognition and 21 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ruixuan Wang's work include AI in cancer detection (12 papers), Domain Adaptation and Few-Shot Learning (11 papers) and COVID-19 diagnosis using AI (10 papers). Ruixuan Wang is often cited by papers focused on AI in cancer detection (12 papers), Domain Adaptation and Few-Shot Learning (11 papers) and COVID-19 diagnosis using AI (10 papers). Ruixuan Wang collaborates with scholars based in China, United Kingdom and United States. Ruixuan Wang's co-authors include Wei‐Shi Zheng, Xiang Zhang, Yutian Chong, Ying Song, Jianwen Chen, Huiying Zhao, Xiaodong Zhang, Jun Shen, Ziwang Huang and Yuedong Yang and has published in prestigious journals such as Nature Communications, NeuroImage and Journal of Virology.

In The Last Decade

Ruixuan Wang

76 papers receiving 1.7k citations

Hit Papers

Deep Learning Enables Accurate Diagnosis of Novel Coronav... 2021 2026 2022 2024 2021 2022 2025 100 200 300 400 500
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.

  1. Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images
    2021 524 citations Ruixuan Wang et al. profile →
  2. Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study
    2022 133 citations Ruixuan Wang et al. profile →
  3. Tissue macrophages: origin, heterogenity, biological functions, diseases and therapeutic targets
    2025 77 citations Fan Guan, Ruixuan Wang et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruixuan Wang China 18 747 605 323 198 186 96 1.8k
Ali Madani United States 14 773 1.0× 619 1.0× 305 0.9× 99 0.5× 693 3.7× 17 2.5k
Inês Domingues Portugal 13 812 1.1× 993 1.6× 437 1.4× 82 0.4× 89 0.5× 45 1.5k
Shandong Wu United States 28 1.2k 1.5× 1.3k 2.1× 653 2.0× 240 1.2× 98 0.5× 105 2.5k
Benzheng Wei China 17 1.1k 1.4× 853 1.4× 727 2.3× 83 0.4× 173 0.9× 74 1.9k
Nektarios A. Valous Germany 19 479 0.6× 526 0.9× 186 0.6× 370 1.9× 231 1.2× 42 1.8k
Yuexiang Li China 22 498 0.7× 851 1.4× 551 1.7× 412 2.1× 128 0.7× 90 2.0k
Siegfried K. Wagner United Kingdom 23 1.6k 2.2× 606 1.0× 221 0.7× 107 0.5× 176 0.9× 94 3.0k

Countries citing papers authored by Ruixuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruixuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruixuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruixuan Wang. A scholar is included among the top collaborators of Ruixuan 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 Ruixuan Wang. Ruixuan Wang 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.
Cao, Hongyu, Lina Yang, Fanghao Yang, et al.. (2025). UBA protein family: An emerging set of E1 ubiquitin ligases in cancer—A review. International Journal of Biological Macromolecules. 308(Pt 2). 142277–142277. 5 indexed citations
2.
Zhang, Jianhao, Ruixuan Wang, Junbo Chen, et al.. (2025). A PVT-insensitive 7T SRAM CIM macro for multibit multiplication with dynamic matching quantization circuits. Microelectronics Journal. 161. 106703–106703.
3.
Yu, Tong, Ruixuan Wang, Jianhui Xie, et al.. (2025). Visual Class Incremental Learning With Textual Priors Guidance Based on an Adapted Vision-Language Model. IEEE Transactions on Multimedia. 27. 5426–5438. 1 indexed citations
4.
Guan, Fan, Ruixuan Wang, Peng Luo, et al.. (2025). Tissue macrophages: origin, heterogenity, biological functions, diseases and therapeutic targets. Signal Transduction and Targeted Therapy. 10(1). 93–93. 77 indexed citations breakdown →
5.
Shi, Yufei, Zhipeng He, Ruixuan Wang, et al.. (2024). Continual learning for seizure prediction via memory projection strategy. Computers in Biology and Medicine. 181. 109028–109028. 2 indexed citations
6.
Duan, Jin‐Ling, Ruixuan Wang, Xueyi Zheng, et al.. (2024). Deep learning model with pathological knowledge for detection of colorectal neuroendocrine tumor. Cell Reports Medicine. 5(10). 101785–101785. 3 indexed citations
7.
8.
Wang, Ruixuan, et al.. (2024). Night construction site detection based on ghost-YOLOX. Connection Science. 36(1). 1 indexed citations
9.
Zhang, Baolin, Zhiheng Liao, Taifeng Zhou, et al.. (2024). Automatic Lenke classification of adolescent idiopathic scoliosis with deep learning. JOR Spine. 7(2). e1327–e1327. 4 indexed citations
10.
Huang, Yujun, Tong Zhang, Qicheng Lao, et al.. (2024). Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13152–13163.
11.
Tan, Zhijun, et al.. (2024). Classifier-Head Informed Feature Masking and Prototype-Based Logit Smoothing for Out-of-Distribution Detection. IEEE Transactions on Circuits and Systems for Video Technology. 34(7). 5630–5640. 7 indexed citations
12.
13.
Zhang, Xiaoying, Shiyu Wang, Jinyu Wang, et al.. (2023). Wei-Tong-Xin ameliorated cisplatin-induced mitophagy and apoptosis in gastric antral mucosa by activating the Nrf2/HO-1 pathway. Journal of Ethnopharmacology. 308. 116253–116253. 10 indexed citations
14.
Zhang, Jianguo, et al.. (2023). Class attention to regions of lesion for imbalanced medical image recognition. Neurocomputing. 555. 126577–126577. 15 indexed citations
15.
Li, Mengfei, Ying Wang, Weijiang Yu, et al.. (2023). Intensive vision-guided network for radiology report generation. Physics in Medicine and Biology. 69(4). 45008–45008.
16.
Choi, Jiahn, Michele Houston, Ruixuan Wang, et al.. (2023). Intestinal stem cell aging at single‐cell resolution: Transcriptional perturbations alter cell developmental trajectory reversed by gerotherapeutics. Aging Cell. 22(5). e13802–e13802. 16 indexed citations
17.
Wang, Ruixuan, et al.. (2023). An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors. Journal of Chemical Information and Modeling. 63(24). 7699–7710. 6 indexed citations
18.
Wang, Shuang, Yu Gu, Jihui Wang, et al.. (2022). A Joint-Training Two-Stage Method For Remote Sensing Image Captioning. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–16. 32 indexed citations
19.
Zhou, Wenying, Cheng Yu, Dan Chen, et al.. (2021). Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images. Nature Communications. 12(1). 1259–1259. 72 indexed citations
20.
Wang, Ruixuan, et al.. (2021). Human endeavor for anti-SARS-CoV-2 pharmacotherapy: A major strategy to fight the pandemic. Biomedicine & Pharmacotherapy. 137. 111232–111232. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ali Madani Breakdown of academic impact, for papers by Inês Domingues Breakdown of academic impact, for papers by Shandong Wu Breakdown of academic impact, for papers by Benzheng Wei Breakdown of academic impact, for papers by Nektarios A. Valous Breakdown of academic impact, for papers by Yuexiang Li Breakdown of academic impact, for papers by Siegfried K. Wagner
Rankless by CCL
2026