Liming Xia

16.0k total citations · 6 hit papers
150 papers, 9.6k citations indexed

About

Liming Xia is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Liming Xia has authored 150 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Radiology, Nuclear Medicine and Imaging, 25 papers in Pulmonary and Respiratory Medicine and 24 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Liming Xia's work include Radiomics and Machine Learning in Medical Imaging (35 papers), COVID-19 diagnosis using AI (27 papers) and Advanced MRI Techniques and Applications (20 papers). Liming Xia is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (35 papers), COVID-19 diagnosis using AI (27 papers) and Advanced MRI Techniques and Applications (20 papers). Liming Xia collaborates with scholars based in China, United States and Netherlands. Liming Xia's co-authors include Tao Ai, Qian Tao, Chenao Zhan, Chong Chen, Zhenlu Yang, Yan Li, Ziyong Sun, Wenzhi Lv, Hongyan Hou and Shuchang Zhou and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and ACS Nano.

In The Last Decade

Liming Xia

137 papers receiving 9.3k citations

Hit Papers

5 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.

Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases

2020 3.8k citations Chong Chen, Liming Xia et al. profile →
Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management

2020 856 citations Liming Xia et al. profile →
Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China

2020 694 citations Yueying Pan, Hanxiong Guan et al. profile →
CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China

2020 507 citations Shuchang Zhou, Yujin Wang et al. profile →
Cardiac Involvement in Patients Recovered From COVID-2019 Identified Using Magnetic Resonance Imaging

2020 394 citations Lu Huang, Peijun Zhao et al. profile →
Serial Quantitative Chest CT Assessment of COVID-19: A Deep Learning Approach

2020 293 citations Lu Huang, Rui Han et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liming Xia China	32	5.5k	4.0k	1.4k	1.4k	1.3k	150	9.6k
Chuansheng Zheng China	34	3.5k 0.6×	3.5k 0.9×	739 0.5×	1.4k 1.0×	1.8k 1.4×	345	9.8k
Michael Chung United States	25	3.7k 0.7×	3.1k 0.8×	625 0.5×	1.3k 0.9×	1.1k 0.8×	64	7.6k
Hong Shan China	33	2.8k 0.5×	3.6k 0.9×	460 0.3×	1.2k 0.9×	1.5k 1.2×	93	8.5k
Adam Jacobi United States	17	3.1k 0.6×	2.4k 0.6×	615 0.4×	789 0.6×	800 0.6×	60	5.1k
Shaolin Li China	27	3.0k 0.5×	2.5k 0.6×	560 0.4×	870 0.6×	870 0.7×	110	6.0k
Qian Tao Netherlands	23	3.2k 0.6×	2.2k 0.6×	755 0.5×	841 0.6×	670 0.5×	109	6.1k
Tao Ai China	22	3.4k 0.6×	2.1k 0.5×	743 0.5×	894 0.6×	538 0.4×	79	5.5k
Adam Bernheim United States	17	3.1k 0.6×	2.5k 0.6×	571 0.4×	808 0.6×	801 0.6×	43	5.0k
Mingqian Huang United States	16	2.9k 0.5×	2.3k 0.6×	550 0.4×	699 0.5×	833 0.7×	45	4.7k

Countries citing papers authored by Liming Xia

Since Specialization

Citations

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

Fields of papers citing papers by Liming Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liming Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Liming Xia. A scholar is included among the top collaborators of Liming Xia 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 Liming Xia. Liming Xia 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:

20 of 20 papers shown

Zhou, Jing, Xichun Xia, Yanan Chen, et al.. (2025). Perform tumor-specific survival analysis for Merkel cell carcinoma patients undergoing surgical resection based on the SEER database by constructing a nomogram chart. Open Medicine. 20(1). 20241103–20241103. 1 indexed citations

Zhang, Peipei, et al.. (2025). Accelerating prostate rs-EPI DWI with deep learning: Halving scan time, enhancing image quality, and validating in vivo. Magnetic Resonance Imaging. 121. 110418–110418.

Nie, Min, et al.. (2024). Exosomal miR-1a-3p derived from glucocorticoid-stimulated M1 macrophages promotes the adipogenic differentiation of BMSCs in glucocorticoid-associated osteonecrosis of the femoral head by targeting Cebpz. Journal of Nanobiotechnology. 22(1). 648–648. 8 indexed citations

Zhao, Yun, Lu Huang, Dazhong Tang, et al.. (2023). Improvement in coronary microvascular dysfunction evaluated by cardiac magnetic resonance in patients with hypertrophic obstructive cardiomyopathy after transapical beating-heart septal myectomy. Frontiers in Cardiovascular Medicine. 10. 1233004–1233004. 3 indexed citations

Zhao, Peijun, et al.. (2023). Diastolic dysfunction assessed by cardiac magnetic resonance imaging tissue tracking on normal-thickness wall segments in hypertrophic cardiomyopathy. BMC Medical Imaging. 23(1). 7–7. 1 indexed citations

Yang, Junjie, Xiaoqing Sun, Kan Wang, et al.. (2023). On-Site Computed Tomography–Derived Fractional Flow Reserve to Guide Management of Patients With Stable Coronary Artery Disease: The TARGET Randomized Trial. Circulation. 147(18). 1369–1381. 53 indexed citations

Fang, Jing, Yani Liu, Ying Zhu, et al.. (2023). First-in-Human Transapical Beating-Heart Septal Myectomy in Patients With Hypertrophic Obstructive Cardiomyopathy. Journal of the American College of Cardiology. 82(7). 575–586. 28 indexed citations

Sun, Kailun, Xiangde Min, Yu Wang, et al.. (2023). Magnetic resonance imaging based deep-learning model: a rapid, high-performance, automated tool for testicular volume measurements. Frontiers in Medicine. 10. 1277535–1277535.

Hu, Qiongjie, Shaofang Wang, Chong Chen, et al.. (2022). Comparison of two reader modes of computer-aided diagnosis in lung nodules on low-dose chest CT scan. Journal of Innovative Optical Health Sciences. 15(2). 3 indexed citations

10.

Li, Qian, et al.. (2021). MR Virtual Endoscopy of the Fetal Limb Anomalies Using Three-Dimensional Fast Imaging Employing Steady-State Acquisition Sequence. Fetal Diagnosis and Therapy. 48(5). 333–341. 2 indexed citations

11.

Li, Haidong, Xiuchao Zhao, Yujin Wang, et al.. (2020). Damaged lung gas exchange function of discharged COVID-19 patients detected by hyperpolarized ¹²⁹ Xe MRI. Science Advances. 7(1). 115 indexed citations

12.

Huang, Lu, Rui Han, Pengxin Yu, Shaokang Wang, & Liming Xia. (2020). A correlation study ofCT and clinical features of different clinical types of 2019 novel coronavirus pneumonia/ 中华放射学杂志. Zhonghua fangshexian yixue zazhi. 54(12). 6 indexed citations

13.

Wu, Wei, Shuchang Zhou, Daniel S. Hippe, et al.. (2020). Whole-Lesion DCE-MRI Intensity Histogram Analysis for Diagnosis in Patients with Suspected Lung Cancer. Academic Radiology. 28(2). e27–e34. 7 indexed citations

14.

Di, Donglin, Feng Shi, Fuhua Yan, et al.. (2020). Hypergraph learning for identification of COVID-19 with CT imaging. Medical Image Analysis. 68. 101910–101910. 54 indexed citations

15.

Sun, Ziyan, Kai Cheng, Yuyu Yao, et al.. (2019). Controlled Nano–Bio Interface of Functional Nanoprobes for in Vivo Monitoring Enzyme Activity in Tumors. ACS Nano. 13(2). 1153–1167. 19 indexed citations

16.

Qin, Liang, Ziyan Sun, Kai Cheng, et al.. (2017). Zwitterionic Manganese and Gadolinium Metal–Organic Frameworks as Efficient Contrast Agents for in Vivo Magnetic Resonance Imaging. ACS Applied Materials & Interfaces. 9(47). 41378–41386. 62 indexed citations

17.

Xia, Liming, Johan Lundberg, & Rickard Bensow. (2012). Performance Prediction of a Nozzle Propeller. Chalmers Publication Library (Chalmers University of Technology).

18.

Tang, Xiangyu, Chengyuan Wang, Liming Xia, et al.. (2011). Volumetric MRI and 1H MRS study of hippocampus in unilateral MCAO patients: Relationship between hippocampal secondary damage and cognitive disorder following stroke. European Journal of Radiology. 81(10). 2788–2793. 16 indexed citations

19.

Gao, Yan, et al.. (2006). Fuzzy clustering ensemble based on mutual information. 476–481. 1 indexed citations

20.

Zhu, Wenzhen, et al.. (2005). Study of MR Imaging and MR Spectroscopy in the Diagnosis of Gliomatosis Cerebri. The Chinese-German Journal of Clinical Oncology. 4(6). 373–377. 2 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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