Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

United Imaging Intelligence (China)

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Papers in the tracked journals with an author at United Imaging Intelligence (China): per year and category, where they are published, the institutions its researchers write with, and its most-cited papers. A paper counts as corporate when at least one of its authors is affiliated with an institution that OpenAlex classifies as a company; it counts once for each company among its authors' affiliations. Universities are the institutions OpenAlex classifies as education. Also as Markdown.

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Key findings#

  • From 2017 to 2026 (so far), authors at United Imaging Intelligence (China) took part in 92 papers in the tracked journals, most of them in AI (91) and health economics and policy (1).
  • It ranks #27 among the companies publishing in the tracked journals from 2023 to 2025.
  • 13 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were ShanghaiTech University (43), Shanghai Clinical Research Center (26) and Shanghai Jiao Tong University (14).
  • The journals publishing most of them were Medical Image Analysis (27), Pattern Recognition (8) and IEEE Transactions on Neural Networks and Learning Systems (4).
  • The most-cited of them is “Cross-level Feature Aggregation Network for Polyp Segmentation” (Pattern Recognition, 2023), with 358 citations.
  • Since 2023, papers in the tracked journals cited 30 of its papers 220 times; 98% of those links came from papers with a university author and 2% from its own papers.
  • Its own papers since 2023 cite archived papers 130 times, 18% of them papers with a company author.
  • Across everything OpenAlex indexes, United Imaging Intelligence (China) has 1,005 works with 56,522 citations (h-index 112).
  • The tracked journals hold 77 of its 840 works in OpenAlex from 2018 to 2025 (9.2%).
  • Its main research topics in OpenAlex are Radiomics and Machine Learning in Medical Imaging (321), Medical Image Segmentation Techniques (319) and Advanced MRI Techniques and Applications (137).
  • OpenAlex lists it under United Imaging Healthcare (China).

Papers per year#

2017: 0 papers2018: 1 paper2019: 5 papers2020: 13 papers2021: 13 papers2022: 10 papers2023: 13 papers2024: 9 papers2025: 13 papers2026 (so far): 15 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI0151312101391315
Health Economics and Policy0000100000
All categories0151313101391315

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1ShanghaiTech University43
2Shanghai Clinical Research Center26
3Shanghai Jiao Tong University14
4Northwestern Polytechnical University7
5University of Electronic Science and Technology of China5
6University of Georgia5
7Fudan University4
8Imperial College London4
9Sichuan University4
Countries with the most papers, since 2023
#CountryPapers
1China50
2United States14
3Australia5
4United Kingdom5
5Hong Kong5
6Singapore2
7France1
8Italy1
9South Korea1
Keywords with the most papers, since 2023
#KeywordPapers
1computer-aided diagnosis4
2interpretability4
3diffusion models3
4nuclei segmentation3
5vision transformer3
6COVID-19 pandemic2
7Mamba2
8T1-weighted imaging2
9autism spectrum disorder2
10brain disorder diagnosis2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
13588.3Cross-level Feature Aggregation Network for Polyp SegmentationPattern Recognition2023-03-26Tao Zhou, Yi Zhou, Kelei He et al.
21943.2Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT ImagesPattern Recognition2021-09-20Xiaoming Liu, Quan Yuan, Yaozong Gao et al.
31256.4CLIP in medical imaging: A surveyMedical Image Analysis2025-03-22Zihao Zhao, Yuxiao Liu, Han Wu et al.
41091.6Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT imagesPattern Recognition2021-01-18Kelei He, Wei Zhao, Xingzhi Xie et al.
51043.2An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPTIEEE Transactions on Artificial Intelligence2024-02-12Chong Ma, Zihao Wu, Jiaqi Wang et al.
6701.0Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRIIEEE Transactions on Neural Networks and Learning Systems2021-03-03Chunfeng Lian, Mingxia Liu, Li Wang et al.
7640.7STRAINet: Spatially Varying sTochastic Residual AdversarIal Networks for MRI Pelvic Organ SegmentationIEEE Transactions on Neural Networks and Learning Systems2018-10-09Dong Nie, Li Wang, Yaozong Gao et al.
8581.4Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional ConnectivityIEEE Transactions on Neural Networks and Learning Systems2023-06-20Mianxin Liu, Han Zhang, Feng Shi et al.
9571.0Breast Tumor Segmentation in DCE-MRI With Tumor Sensitive SynthesisIEEE Transactions on Neural Networks and Learning Systems2021-12-07Shuai Wang, Kun Sun, Li Wang et al.
10441.0AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image SynthesisInternational Journal of Computer Vision2023-05-03Bing Cao, Zhiwei Bi, Qinghua Hu et al.

Who cites its research#

Institutions whose papers cite it most, since 2023
#InstitutionKindCountryLinks
1Chinese Academy of SciencesGovernmentChina19
2Shanghai Jiao Tong UniversityUniversityChina13
3ShanghaiTech UniversityUniversityChina11
4Shenzhen UniversityUniversityChina9
5Shenzhen Institutes of Advanced TechnologyResearch facilityChina9
6University of Electronic Science and Technology of ChinaUniversityChina8
7Agency for Science, Technology and ResearchGovernmentSingapore7
8Northwestern Polytechnical UniversityUniversityChina7
9Fudan UniversityUniversityChina7
10Institute of High Performance ComputingResearch facilitySingapore7

What its papers cite#

Institutions its papers cite most, since 2023
#InstitutionKindCountryLinks
1Northwestern Polytechnical UniversityUniversityChina12
2University of North Carolina at Chapel HillUniversityUnited States11
3ShanghaiTech UniversityUniversityChina9
4Korea UniversityUniversitySouth Korea8
5Chinese Academy of SciencesGovernmentChina7
6Sichuan UniversityUniversityChina7
7Nanyang Technological UniversityUniversitySingapore6
8Peking UniversityUniversityChina6
9Chengdu University of Information TechnologyUniversityChina6
10Jingdong (China)CompanyChina6

Citation links inside the tracked journals; see the corporate citation network and industry–university links.

In OpenAlex#

United Imaging Intelligence (China) in OpenAlex
ItemValue
TypeCompany
LocationShanghai, China
Also known asUII, Shanghai United Imaging Intelligence Co. Ltd, United Imaging Intelligence Co. Ltd, 上海联影智能科技股份有限公司(“联影智能”)
Part ofUnited Imaging Healthcare (China)
Works in OpenAlex1,005
Citations56,522
h-index112
i10-index875
2-year mean citedness6.18
Websitewww.uii-ai.com
RORror.org/01s8ddd88
OpenAlexopenalex.org/I4405265933
Main research topics (OpenAlex, all works)
#TopicFieldWorks
1Radiomics and Machine Learning in Medical ImagingMedicine321
2Medical Image Segmentation TechniquesComputer Science319
3Advanced MRI Techniques and ApplicationsMedicine137
4Artificial Intelligence in Healthcare and EducationMedicine133
5AI in cancer detectionComputer Science131
Works and citations per year in OpenAlex, and its papers in the tracked journals
YearWorks in OpenAlexCitations receivedIn the tracked journalsShare
2026 (so far)1654,274159.1%
20251756,265137.4%
20241585,01495.7%
20231543,388138.4%
20221132,506108.8%
20211192,1931310.9%
2020668731319.7%
201937175513.5%
2018181915.6%
2017020–

From OpenAlex's own record of the institution (CC0), read again monthly. Works and citations count everything OpenAlex indexes, not only the tracked journals; topics are OpenAlex's classification of those works.

Cite this page

Scholar4AI. (2026). United Imaging Intelligence (China). Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/companies/united-imaging-intelligence-china

@misc{scholar4ai-companies-united-imaging-intelligence-china,
  author = {{Scholar4AI}},
  title = {United Imaging Intelligence (China)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/companies/united-imaging-intelligence-china}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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