Xiangpan Meng

880 total citations · 1 hit paper
19 papers, 367 citations indexed

About

Xiangpan Meng is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiangpan Meng has authored 19 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Hepatology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiangpan Meng's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and MRI in cancer diagnosis (6 papers). Xiangpan Meng is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and MRI in cancer diagnosis (6 papers). Xiangpan Meng collaborates with scholars based in China and Canada. Xiangpan Meng's co-authors include Shenghong Ju, Yuancheng Wang, Tianyu Tang, Wenbo Xiao, Yu Qian, Chun‐Qiang Lu, Xueying Long, Yang Song, Yun Liang and Tianyi Xia and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Xiangpan Meng

17 papers receiving 364 citations

Hit Papers

Predicting Microvascular Invasion in Hepatocellular Carci... 2023 2026 2024 2025 2023 40 80 120

Peers

Xiangpan Meng
Stefan P. Haider United States
Rita Simões Netherlands
Yuguo Wei China
Stefan P. Haider United States
Xiangpan Meng
Citations per year, relative to Xiangpan Meng Xiangpan Meng (= 1×) peers Stefan P. Haider

Countries citing papers authored by Xiangpan Meng

Since Specialization
Citations

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

Fields of papers citing papers by Xiangpan Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangpan Meng

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

All Works

19 of 19 papers shown
1.
Meng, Xiangpan, Yixuan Guo, Linjie Bian, et al.. (2025). Validation of proposed imaging criteria for estimating vessels encapsulating tumor clusters in hepatocellular carcinoma at CT and gadoxetic acid-enhanced MRI. European Journal of Radiology. 183. 111936–111936.
2.
Meng, Xiangpan, Hao Yu, Changjie Pan, et al.. (2025). Explainable Machine Learning for Estimating the Contrast Material Arrival Time in Computed Tomography Pulmonary Angiography. Journal of Thoracic Imaging. 40(6).
3.
Xia, Cong, Jinrong Qu, Yiping Jiao, et al.. (2024). Signal enhancement ratio of multi-phase contrast-enhanced MRI: an imaging biomarker for survival in pancreatic adenocarcinoma. European Radiology. 34(11). 7460–7470. 3 indexed citations
4.
Gao, Lei, et al.. (2024). TPA: Two‐stage progressive attention segmentation framework for hepatocellular carcinoma on multi‐modality MRI. Medical Physics. 51(7). 4936–4947. 1 indexed citations
5.
Meng, Xiangpan, Tianyu Tang, Yongping Zhou, et al.. (2023). Predicting post-resection recurrence by integrating imaging-based surrogates of distinct vascular patterns of hepatocellular carcinoma. JHEP Reports. 5(9). 100806–100806. 12 indexed citations
6.
Chen, Kaidong, Li Zhang, Kefei Chen, et al.. (2023). The impact of iron deposition on the fear circuit of the brain in patients with Parkinson’s disease and anxiety. Frontiers in Aging Neuroscience. 15. 1116516–1116516. 17 indexed citations
7.
Xia, Tianyi, Xiangpan Meng, Yu Qian, et al.. (2023). Predicting Microvascular Invasion in Hepatocellular Carcinoma Using CT-based Radiomics Model. Radiology. 307(4). e222729–e222729. 121 indexed citations breakdown →
8.
Meng, Xiangpan, Tianyu Tang, Jitao Wang, et al.. (2022). Preoperative Microvascular Invasion Prediction to Assist in Surgical Plan for Single Hepatocellular Carcinoma: Better Together with Radiomics. Annals of Surgical Oncology. 29(5). 2960–2970. 16 indexed citations
9.
Yu, Qian, Qinyi Li, Yan Lv, et al.. (2022). Spleen volume-based non-invasive tool for predicting hepatic decompensation in people with compensated cirrhosis (CHESS1701). JHEP Reports. 4(11). 100575–100575. 18 indexed citations
10.
Wang, Dongqing, Jixiang Chen, Xin Fan, et al.. (2022). A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal Cancer. Frontiers in Oncology. 12. 846840–846840. 22 indexed citations
12.
Wang, Yuancheng, et al.. (2021). Thoracic CT radiomics analysis for predicting synchronous brain metastasis in patients with lung cancer. SHILAP Revista de lepidopterología. 28(1). 39–49. 3 indexed citations
13.
Meng, Xiangpan, Yuancheng Wang, Jiaying Zhou, et al.. (2021). Comparison of MRI and CT for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma Based on a Non‐Radiomics and Radiomics Method: Which Imaging Modality Is Better?. Journal of Magnetic Resonance Imaging. 54(2). 526–536. 41 indexed citations
14.
Meng, Xiangpan, Yuancheng Wang, Shenghong Ju, et al.. (2020). Radiomics Analysis on Multiphase Contrast-Enhanced CT: A Survival Prediction Tool in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization. Frontiers in Oncology. 10. 1196–1196. 35 indexed citations
15.
Tang, Tianyu, Yun Jiao, Ying Cui, et al.. (2020). Penumbra-based radiomics signature as prognostic biomarkers for thrombolysis of acute ischemic stroke patients: a multicenter cohort study. Journal of Neurology. 267(5). 1454–1463. 35 indexed citations
16.
Lu, Chun‐Qiang, Chu Hui Zeng, Yuancheng Wang, et al.. (2019). Altered amplitude of low‐frequency fluctuation in basal ganglia correlates to pulmonary ventilation function in COPD patients: A resting‐state fMRI study. Brain and Behavior. 9(7). e01336–e01336. 8 indexed citations
18.
Lu, Chun‐Qiang, Yuancheng Wang, Xiangpan Meng, et al.. (2018). Diabetes risk assessment with imaging: a radiomics study of abdominal CT. European Radiology. 29(5). 2233–2242. 21 indexed citations
19.
Meng, Xiangpan, Jung Hwan Yu, Billy W. Loo, et al.. (2011). An evaluation of molecular imaging with 11c-PD153035 PET/CT and its association in predicting outcomes in non-small cell lung cancer treated with EGFR-TKI.. Journal of Clinical Oncology. 29(15_suppl). 10543–10543. 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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