United Imaging Intelligence (China)
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.
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#
20172026 (so far)
| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---|---|---|---|---|---|---|---|---|---|
| AI | 0 | 1 | 5 | 13 | 12 | 10 | 13 | 9 | 13 | 15 |
| Health Economics and Policy | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| All categories | 0 | 1 | 5 | 13 | 13 | 10 | 13 | 9 | 13 | 15 |
Where the papers come from#
| # | Journal | Papers |
|---|---|---|
| 1 | Medical Image Analysis | 27 |
| 2 | Pattern Recognition | 8 |
| 3 | IEEE Transactions on Neural Networks and Learning Systems | 4 |
| 4 | Information Fusion | 3 |
| 5 | International Journal of Computer Vision | 2 |
| 6 | IEEE Transactions on Pattern Analysis and Machine Intelligence | 1 |
| 7 | Neural Networks | 1 |
| 8 | Knowledge-Based Systems | 1 |
| 9 | Expert Systems with Applications | 1 |
| 10 | Journal Of Big Data | 1 |
| # | Institution | Papers |
|---|---|---|
| 1 | ShanghaiTech University | 43 |
| 2 | Shanghai Clinical Research Center | 26 |
| 3 | Shanghai Jiao Tong University | 14 |
| 4 | Northwestern Polytechnical University | 7 |
| 5 | University of Electronic Science and Technology of China | 5 |
| 6 | University of Georgia | 5 |
| 7 | Fudan University | 4 |
| 8 | Imperial College London | 4 |
| 9 | Sichuan University | 4 |
| # | Country | Papers |
|---|---|---|
| 1 | China | 50 |
| 2 | United States | 14 |
| 3 | Australia | 5 |
| 4 | United Kingdom | 5 |
| 5 | Hong Kong | 5 |
| 6 | Singapore | 2 |
| 7 | France | 1 |
| 8 | Italy | 1 |
| 9 | South Korea | 1 |
| # | Keyword | Papers |
|---|---|---|
| 1 | computer-aided diagnosis | 4 |
| 2 | interpretability | 4 |
| 3 | diffusion models | 3 |
| 4 | nuclei segmentation | 3 |
| 5 | vision transformer | 3 |
| 6 | COVID-19 pandemic | 2 |
| 7 | Mamba | 2 |
| 8 | T1-weighted imaging | 2 |
| 9 | autism spectrum disorder | 2 |
| 10 | brain disorder diagnosis | 2 |
Most-cited papers#
Who cites its research#
| # | Institution | Kind | Country | Links |
|---|---|---|---|---|
| 1 | Chinese Academy of Sciences | Government | China | 19 |
| 2 | Shanghai Jiao Tong University | University | China | 13 |
| 3 | ShanghaiTech University | University | China | 11 |
| 4 | Shenzhen University | University | China | 9 |
| 5 | Shenzhen Institutes of Advanced Technology | Research facility | China | 9 |
| 6 | University of Electronic Science and Technology of China | University | China | 8 |
| 7 | Agency for Science, Technology and Research | Government | Singapore | 7 |
| 8 | Northwestern Polytechnical University | University | China | 7 |
| 9 | Fudan University | University | China | 7 |
| 10 | Institute of High Performance Computing | Research facility | Singapore | 7 |
What its papers cite#
| # | Institution | Kind | Country | Links |
|---|---|---|---|---|
| 1 | Northwestern Polytechnical University | University | China | 12 |
| 2 | University of North Carolina at Chapel Hill | University | United States | 11 |
| 3 | ShanghaiTech University | University | China | 9 |
| 4 | Korea University | University | South Korea | 8 |
| 5 | Chinese Academy of Sciences | Government | China | 7 |
| 6 | Sichuan University | University | China | 7 |
| 7 | Nanyang Technological University | University | Singapore | 6 |
| 8 | Peking University | University | China | 6 |
| 9 | Chengdu University of Information Technology | University | China | 6 |
| 10 | Jingdong (China) | Company | China | 6 |
In OpenAlex#
| Item | Value |
|---|---|
| Type | Company |
| Location | Shanghai, China |
| Also known as | UII, 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 of | United Imaging Healthcare (China) |
| Works in OpenAlex | 1,005 |
| Citations | 56,522 |
| h-index | 112 |
| i10-index | 875 |
| 2-year mean citedness | 6.18 |
| Website | www.uii-ai.com |
| ROR | ror.org/01s8ddd88 |
| OpenAlex | openalex.org/I4405265933 |
| # | Topic | Field | Works |
|---|---|---|---|
| 1 | Radiomics and Machine Learning in Medical Imaging | Medicine | 321 |
| 2 | Medical Image Segmentation Techniques | Computer Science | 319 |
| 3 | Advanced MRI Techniques and Applications | Medicine | 137 |
| 4 | Artificial Intelligence in Healthcare and Education | Medicine | 133 |
| 5 | AI in cancer detection | Computer Science | 131 |
| Year | Works in OpenAlex | Citations received | In the tracked journals | Share |
|---|---|---|---|---|
| 2026 (so far) | 165 | 4,274 | 15 | 9.1% |
| 2025 | 175 | 6,265 | 13 | 7.4% |
| 2024 | 158 | 5,014 | 9 | 5.7% |
| 2023 | 154 | 3,388 | 13 | 8.4% |
| 2022 | 113 | 2,506 | 10 | 8.8% |
| 2021 | 119 | 2,193 | 13 | 10.9% |
| 2020 | 66 | 873 | 13 | 19.7% |
| 2019 | 37 | 175 | 5 | 13.5% |
| 2018 | 18 | 19 | 1 | 5.6% |
| 2017 | 0 | 2 | 0 | – |
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}
}