Xi Wang

3.6k total citations · 1 hit paper
130 papers, 2.1k citations indexed

About

Xi Wang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xi Wang has authored 130 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 28 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xi Wang's work include Radiomics and Machine Learning in Medical Imaging (14 papers), Complex Network Analysis Techniques (12 papers) and Retinal Imaging and Analysis (11 papers). Xi Wang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), Complex Network Analysis Techniques (12 papers) and Retinal Imaging and Analysis (11 papers). Xi Wang collaborates with scholars based in China, United States and Hong Kong. Xi Wang's co-authors include Hao Chen, Pheng‐Ann Heng, Qi Dou, Huangjing Lin, Luyang Luo, Jing Qin, Gita Sukthankar, Qitao Huang, Muyan Cai and Efstratios Tsougenis and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xi Wang

119 papers receiving 2.1k citations

Hit Papers

Deep Learning in Breast Cancer Imaging: A Decade of Progr... 2024 2026 2025 2024 20 40 60
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 in Breast Cancer Imaging: A Decade of Progress and Future Directions
    2024 70 citations Luyang Luo, Xi Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi Wang China 23 1.0k 729 467 230 180 130 2.1k
Yiming Wang China 23 1.2k 1.1× 347 0.5× 463 1.0× 111 0.5× 50 0.3× 160 2.1k
Sumeet Dua United States 16 387 0.4× 582 0.8× 417 0.9× 411 1.8× 64 0.4× 50 1.5k
Alhadi Bustamam Indonesia 16 432 0.4× 377 0.5× 247 0.5× 70 0.3× 207 1.1× 142 1.2k
Pierangelo Veltri Italy 23 629 0.6× 205 0.3× 252 0.5× 27 0.1× 581 3.2× 237 2.2k
Jianpeng Zhang China 21 1.5k 1.4× 1.5k 2.1× 684 1.5× 36 0.2× 88 0.5× 63 3.0k
Xiaohong Zhang China 23 425 0.4× 209 0.3× 463 1.0× 34 0.1× 47 0.3× 144 1.8k
Xiaohui Liu China 32 483 0.5× 82 0.1× 361 0.8× 36 0.2× 158 0.9× 111 3.5k
Kai Niu China 31 1.2k 1.2× 166 0.2× 462 1.0× 100 0.4× 676 3.8× 355 4.8k
Monica Bianchini Italy 20 762 0.7× 88 0.1× 441 0.9× 14 0.1× 170 0.9× 84 1.9k
Manjit Kaur India 27 568 0.5× 264 0.4× 585 1.3× 7 0.0× 182 1.0× 88 2.1k

Countries citing papers authored by Xi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xi Wang. A scholar is included among the top collaborators of Xi 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 Xi Wang. Xi 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.
Li, Yiming, et al.. (2025). Protopanaxadiol (PPD)-type ginsenosides inhibit the key element of α-glucosidase - The glycosyl group. International Journal of Biological Macromolecules. 306(Pt 4). 141843–141843.
2.
3.
4.
Wen, Qiang, et al.. (2025). Artificial intelligence in predicting efficacy and toxicity of Immunotherapy: Applications, challenges, and future directions. Cancer Letters. 630. 217881–217881. 3 indexed citations
5.
Wang, Xi, et al.. (2024). Separable Gaussian neural networks for high-dimensional nonlinear stochastic systems. Probabilistic Engineering Mechanics. 76. 103594–103594. 7 indexed citations
6.
Rahmani, Hossein A., et al.. (2024). Transparent and Scrutable Recommendations Using Natural Language User Profiles. 13971–13984. 1 indexed citations
7.
8.
Yuan, Yuchen, et al.. (2024). Effective Semi-Supervised Medical Image Segmentation With Probabilistic Representations and Prototype Learning. IEEE Transactions on Medical Imaging. 44(3). 1181–1193. 1 indexed citations
9.
Yang, Siqian, Tom Wu, Guannan Jiang, et al.. (2023). SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(7). 8430–8437. 10 indexed citations
10.
Wang, Xi, Yuming Jiang, Hao Chen, et al.. (2023). Cancer immunotherapy response prediction from multi-modal clinical and image data using semi-supervised deep learning. Radiotherapy and Oncology. 186. 109793–109793. 12 indexed citations
11.
Stewart, Rebecca E., et al.. (2023). Where do psychologists turn to inform clinical decisions? Audience segmentation to guide dissemination strategies. SHILAP Revista de lepidopterología. 4. 2608050656–2608050656. 1 indexed citations
12.
Ye, Fanghua, Xi Wang, Jie Huang, et al.. (2022). MetaASSIST: Robust Dialogue State Tracking with Meta Learning. 1157–1169. 8 indexed citations
13.
Cheng, Jingjing, Xi Wang, Lu Zheng, et al.. (2022). High-fat-diet-induced gut microbiome changes in mice. SHILAP Revista de lepidopterología. 2(1-2). 17–30. 10 indexed citations
14.
Yang, Yuning, Jiawen Yu, Zhe Liu, et al.. (2020). An Improved Topology Prediction of Alpha-Helical Transmembrane Protein Based on Deep Multi-Scale Convolutional Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 295–304. 4 indexed citations
15.
Ran, An Ran, Xi Wang, Luyang Luo, et al.. (2019). A 3D Deep Learning System for Detecting Glaucomatous Optic Neuropathy from Volumetric and En Face Optical Coherence Tomography Scans. Investigative Ophthalmology & Visual Science. 60(9). 5571–5571. 1 indexed citations
16.
Li, Yujia, et al.. (2019). Text Recognition using local correlation.. British Machine Vision Conference. 6. 1 indexed citations
17.
Chang, Yung‐Chun, et al.. (2016). Sentiment analysis of Chinese microblog message using neural network-based vector representation for measuring Regional prejudice. Pacific Asia Conference on Information Systems. 307. 3 indexed citations
18.
Zhang, Yuguang, Lei Yuan, Baoshan Sun, et al.. (2010). Repair of Unsatisfactory Double Eyelid After Double-Eyelid Blepharoplasty in Asian Patients. Archives of Facial Plastic Surgery. 12(4). 236–40. 6 indexed citations
19.
Wang, Xi, et al.. (2008). Efficient Eye Location for Biomedical Imaging using Two-level Classifier Scheme. International Journal of Control Automation and Systems. 6(6). 828–835. 2 indexed citations
20.
Wang, Xi. (2003). Approaching the study on the similarity analysis of HPLC fingerprints spectra for traditional Chinese medicines. Shenyang Yaoke Daxue xuebao. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yiming Wang Breakdown of academic impact, for papers by Sumeet Dua Breakdown of academic impact, for papers by Alhadi Bustamam Breakdown of academic impact, for papers by Pierangelo Veltri Breakdown of academic impact, for papers by Jianpeng Zhang Breakdown of academic impact, for papers by Xiaohong Zhang Breakdown of academic impact, for papers by Xiaohui Liu Breakdown of academic impact, for papers by Kai Niu Breakdown of academic impact, for papers by Monica Bianchini Breakdown of academic impact, for papers by Manjit Kaur
Rankless by CCL
2026