Ge Wang

42.1k total citations · 16 hit papers
1.0k papers, 28.6k citations indexed

About

Ge Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ge Wang has authored 1.0k papers receiving a total of 28.6k indexed citations (citations by other indexed papers that have themselves been cited), including 552 papers in Radiology, Nuclear Medicine and Imaging, 433 papers in Biomedical Engineering and 132 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ge Wang's work include Medical Imaging Techniques and Applications (414 papers), Advanced X-ray and CT Imaging (307 papers) and Radiation Dose and Imaging (135 papers). Ge Wang is often cited by papers focused on Medical Imaging Techniques and Applications (414 papers), Advanced X-ray and CT Imaging (307 papers) and Radiation Dose and Imaging (135 papers). Ge Wang collaborates with scholars based in United States, China and South Korea. Ge Wang's co-authors include Hengyong Yu, Frank Natterer, Michael W. Vannier, Ming Jiang, Yi Zhang, Malcolm Slaney, Avinash C. Kak, Mannudeep K. Kalra, Jiliu Zhou and Bruno De Man and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.

In The Last Decade

Ge Wang

939 papers receiving 27.5k citations

Hit Papers

The Mathematics of Comput... 2002 2026 2010 2018 2002 2017 2002 2018 2017 400 800 1.2k
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. The Mathematics of Computerized Tomography
    2002 1.4k citations Ge Wang et al. Medical Physics profile →
  2. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network
    2017 1.2k citations Mannudeep K. Kalra, Ge Wang et al. profile →
  3. Principles of Computerized Tomographic Imaging
    2002 1.2k citations Ge Wang et al. Medical Physics profile →
  4. Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
    2018 1.1k citations Pingkun Yan, Mannudeep K. Kalra et al. profile →
  5. aLow-dose CT via convolutional neural network
    2017 515 citations Ge Wang et al. profile →
  6. Low-Dose X-ray CT Reconstruction via Dictionary Learning
    2012 489 citations Ge Wang et al. profile →
  7. Compressed sensing based interior tomography
    2009 398 citations Ge Wang et al. Physics in Medicine and Biology profile →
  8. Deep learning for tomographic image reconstruction
    2020 357 citations Ge Wang, Bruno De Man et al. profile →
  9. Image Reconstruction is a New Frontier of Machine Learning
    2018 320 citations Ge Wang et al. profile →
  10. On Interpretability of Artificial Neural Networks: A Survey
    2021 316 citations Ge Wang et al. profile →
  11. A Perspective on Deep Imaging
    2016 314 citations Ge Wang profile →
  12. LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
    2018 303 citations Ge Wang et al. profile →
  13. Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
    2019 280 citations Fatemeh Homayounieh, Uwe Krüger et al. profile →
  14. Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
    2023 220 citations Chuang Niu, Ge Wang et al. SHILAP Revista de lepidopterología profile →
  15. Development of metaverse for intelligent healthcare
    2022 219 citations Ge Wang, Chuang Niu et al. profile →
  16. GasHis-Transformer: A multi-scale visual transformer approach for gastric histopathological image detection
    2022 177 citations Ge Wang et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Ge Wang 16.9k 14.0k 4.4k 2.6k 1.7k 1.0k 28.6k
Sébastien Ourselin 10.2k 0.6× 4.7k 0.3× 5.1k 1.2× 1.1k 0.4× 452 0.3× 812 26.7k
Michael S. Feld 5.2k 0.3× 15.0k 1.1× 2.2k 0.5× 1.2k 0.5× 535 0.3× 436 36.8k
Nassir Navab 6.4k 0.4× 6.7k 0.5× 12.1k 2.8× 993 0.4× 841 0.5× 968 25.3k
David Hill 8.4k 0.5× 3.3k 0.2× 7.0k 1.6× 1.1k 0.4× 633 0.4× 461 25.1k
Lei Xing 12.9k 0.8× 7.0k 0.5× 2.2k 0.5× 9.3k 3.7× 291 0.2× 881 23.4k
Gábor T. Herman 6.0k 0.4× 3.7k 0.3× 3.8k 0.9× 2.0k 0.8× 2.2k 1.3× 310 14.1k
Michaël Unser 5.3k 0.3× 5.6k 0.4× 15.7k 3.6× 1.1k 0.4× 5.6k 3.3× 690 35.2k
Jie Tian 19.0k 1.1× 13.3k 1.0× 1.8k 0.4× 414 0.2× 240 0.1× 1.3k 43.9k
Nobuyuki Otsu 3.5k 0.2× 3.5k 0.2× 12.5k 2.9× 383 0.1× 1.7k 1.0× 74 31.9k
Bram van Ginneken 21.2k 1.3× 4.7k 0.3× 10.4k 2.4× 429 0.2× 567 0.3× 432 34.4k

Countries citing papers authored by Ge Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Wang. A scholar is included among the top collaborators of Ge 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 Ge Wang. Ge 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.
Wang, Huagao, et al.. (2025). Ice‐Templating Derived High‐Performance Layered Bulk Polymer Nanocomposites. Small. 21(38). e05232–e05232.
2.
Peters, Nils, Wenjun Xia, Harald Paganetti, et al.. (2025). AAPM CT metal artifact reduction grand challenge. Medical Physics. 52(10). e70050–e70050.
3.
Geng, Qian, Yingying Lu, Chunjian Qi, et al.. (2024). β-glucan combined with Envafolimab and Endostar as immune rechallenge for metastatic non-small cell lung cancer. BMC Immunology. 25(1). 60–60. 3 indexed citations
4.
Fan, Chengjuan, Che‐Ming Teng, Xiaowei Song, et al.. (2024). Efficacy and safety of intrathecal pemetrexed for TKI-failed leptomeningeal metastases from EGFR+ NSCLC: an expanded, single-arm, phase II clinical trial. ESMO Open. 9(4). 102384–102384. 16 indexed citations
5.
Wang, Ge, et al.. (2024). A hybrid Eulerian-Lagrangian Vlasov method for nonlinear wave-particle interaction in weakly inhomogeneous magnetic field. Computer Physics Communications. 306. 109362–109362. 2 indexed citations
6.
Yang, Zenan, et al.. (2024). Experimental and numerical investigation on the mechanisms of novel heat transfer deterioration of supercritical CO2 in vertical tubes. International Communications in Heat and Mass Transfer. 153. 107384–107384. 18 indexed citations
7.
Zhang, Qi, et al.. (2024). A new optimization model for carbon capture utilization and storage (CCUS) layout based on high-resolution geological variability. Applied Energy. 363. 123065–123065. 21 indexed citations
8.
Yan, Pingkun, et al.. (2024). Integrating AI in college education: Positive yet mixed experiences with ChatGPT. SHILAP Revista de lepidopterología. 2(4). 100113–100113. 4 indexed citations
9.
Wang, Ge, et al.. (2024). Cup and Disc Segmentation Algorithm Based on Improved Swin-UNet Model. 485–488. 1 indexed citations
10.
Wang, Ge, et al.. (2024). A Hamiltonian theory for nonlinear resonant wave–particle interaction in weakly inhomogeneous magnetic field. Physics of Plasmas. 31(4). 3 indexed citations
11.
Romero, Ignacio, Chuang Niu, Cássio Luiz Coutinho Almeida-da-Silva, et al.. (2023). Multiple energy X-ray imaging of metal oxide particles inside gingival tissues. Journal of X-Ray Science and Technology. 32(1). 87–103.
12.
Zhao, Jie, et al.. (2023). High adhesive and mechanically stable SR/PU IPNs coating with dual-functional antifouling/anticorrosive performances. Progress in Organic Coatings. 176. 107385–107385. 13 indexed citations
13.
Wang, Ge, et al.. (2023). An advanced variable selection method based on information gain and Fisher criterion reselection iteration for multivariate calibration. Chemometrics and Intelligent Laboratory Systems. 235. 104796–104796. 5 indexed citations
14.
Wang, Ge, et al.. (2023). Ent- kaurane diterpenoids from Isodon japonica var. glaucocalyx with PCSK9 inhibitory activities. Phytochemistry Letters. 57. 56–61. 1 indexed citations
15.
Chao, Hanqing, Xi Fang, Jiajin Zhang, et al.. (2021). Integrative analysis for COVID-19 patient outcome prediction. UNICA IRIS Institutional Research Information System (University of Cagliari). 46 indexed citations
16.
Zhang, Jian, Weibin Bai, Guo Chen, et al.. (2020). Postoperative Short-term Outcomes Between Sublobar Resection and Lobectomy in Patients with Lung Adenocarcinoma. SHILAP Revista de lepidopterología.
17.
Zhang, Kai, Rui Tian, Ge Wang, et al.. (2020). ADAMTS8 Inhibits Cell Proliferation and Invasion, and Induces Apoptosis in Breast Cancer. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Wang, Yuanjun, Shiwei Liu, Ge Wang, & Yu Liu. (2018). Accurate tooth segmentation with improved hybrid active contour model. Physics in Medicine and Biology. 64(1). 15012–15012. 21 indexed citations
19.
Wang, Ge, et al.. (2009). Stanford Laptop Orchestra (SLOrk). The Journal of the Abraham Lincoln Association. 27 indexed citations
20.
Sheppard, Colin J. R., T. Wilson, R. Juškaitis, et al.. (1993). Proceedings of SCANNING ′93 Orlando, Florida, USA. part 1. Scanning. 15(S1). III1–III89. 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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