Chungao Li

1.1k total citations · 1 hit paper
9 papers, 682 citations indexed

About

Chungao Li is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Infectious Diseases. According to data from OpenAlex, Chungao Li has authored 9 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Neurology and 2 papers in Infectious Diseases. Recurrent topics in Chungao Li's work include Peripheral Nerve Disorders (5 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 diagnosis using AI (2 papers). Chungao Li is often cited by papers focused on Peripheral Nerve Disorders (5 papers), COVID-19 Clinical Research Studies (2 papers) and COVID-19 diagnosis using AI (2 papers). Chungao Li collaborates with scholars based in China and United States. Chungao Li's co-authors include Yuhui Wang, Min Zhou, Yue Hu, Qianqian Ren, Heshui Shi, Chengjun Dong, Wenjun Wu, Dingxi Liu, Lixia Wang and Xiangchuang Kong and has published in prestigious journals such as Scientific Reports, Radiology and European Journal of Radiology.

In The Last Decade

Chungao Li

7 papers receiving 668 citations

Hit Papers

align trajectories

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.

Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study

2020 636 citations Yuhui Wang, Chengjun Dong et al. Radiology profile →

Peers

Chungao Li

RNMI

ID

NEURO

PRM

CCICM

Chengjun Dong China

Qiongjie Hu China

Jasenko Krdzalic Netherlands

Bram Geurts Netherlands

Giorgio Maria Masci Italy

Davide Colombi Italy

Kunhua Li China

Peixin Qin China

Inès Saab France

Francesco Pucciarelli Italy

Chengjun Dong China

Chungao Li

385 ×0.9

RNMI

393 ×1.0

ID

194 ×0.9

NEURO

187 ×1.4

PRM

147 ×1.1

CCICM

Citations per year, relative to Chungao Li Chungao Li (= 1×) peers Chengjun Dong

Countries citing papers authored by Chungao Li

Since Specialization

Citations

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

Fields of papers citing papers by Chungao Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chungao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chungao Li. A scholar is included among the top collaborators of Chungao Li 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 Chungao Li. Chungao Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wu, Wenjun, Tingting Liu, Dingxi Liu, et al.. (2025). Combination of morphological and multiparametric MR neurography enhances carpal tunnel syndrome diagnosis and evaluation. Scientific Reports. 15(1). 184–184.

2.

Li, Chungao, et al.. (2025). Association between deep gray matter iron deposition, white matter hyperintensity, and hypertensive cognitive impairment. Quantitative Imaging in Medicine and Surgery. 15(6). 5496–5509.

3.

Wu, Wenjun, Tingting Liu, Dingxi Liu, et al.. (2024). Contrast-enhanced magnetic resonance neurography for diagnosing brachial plexopathy: improved visualization and additional imaging features. Scientific Reports. 14(1). 20758–20758. 3 indexed citations

4.

Wu, Wenjun, Xiangchuang Kong, Dingxi Liu, et al.. (2024). Improved visualization of median, ulnar nerves, and small branches in the wrist and palm using contrast-enhanced magnetic resonance neurography. Therapeutic Advances in Neurological Disorders. 17. 4233520827–4233520827. 2 indexed citations

5.

Wu, Wenjun, Tingting Liu, Andy Zhang, et al.. (2024). Novel MRI signs for differentiating neurogenic and non-neurogenic peripheral nerve Tumors: Insights from Contrast-Enhanced magnetic resonance neurography. European Journal of Radiology. 183. 111894–111894. 1 indexed citations

6.

Wu, Wenjun, et al.. (2023). Deep gray matters iron deposition is positively associated with white matter hyperintensity in hypertension. Journal of Clinical Hypertension. 25(8). 768–777. 2 indexed citations

7.

Zhou, Min, Chengjun Dong, Chungao Li, et al.. (2021). Longitudinal changes in COVID-19 clinical measures and correlation with the extent of CT lung abnormalities. International Journal of Medical Sciences. 18(5). 1277–1284. 7 indexed citations

8.

Wang, Yuhui, Chengjun Dong, Yue Hu, et al.. (2020). Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study. Radiology. 296(2). E55–E64. 636 indexed citations breakdown →

9.

Wang, Lixia, Kong Xiangquan, Xiangchuang Kong, et al.. (2015). The application of paramagnetic contrast-based T2 effect to 3D heavily T2W high-resolution MR imaging of the brachial plexus and its branches. European Journal of Radiology. 85(3). 578–584. 31 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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