Longzhong Liu

2.3k total citations
46 papers, 1.3k citations indexed

About

Longzhong Liu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Hepatology. According to data from OpenAlex, Longzhong Liu has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 19 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Hepatology. Recurrent topics in Longzhong Liu's work include AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Longzhong Liu is often cited by papers focused on AI in cancer detection (18 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Longzhong Liu collaborates with scholars based in China, United States and Hong Kong. Longzhong Liu's co-authors include Qinghua Huang, Xuelong Li, Yaozhong Luo, Yongdong Chen, Dacheng Tao, Xiao‐Qing Pei, An-Hua Li, Cailu Song, Zhenkun Lu and Hailin Tang and has published in prestigious journals such as Radiology, British Journal of Cancer and Annals of Oncology.

In The Last Decade

Longzhong Liu

42 papers receiving 1.3k citations

Peers

Countries citing papers authored by Longzhong Liu

Since Specialization

Citations

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

Fields of papers citing papers by Longzhong Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longzhong Liu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Adaptive Dual-Task Deep Learning for Automated Thyroid Cancer Triaging at Screening US 2025 ·Radiology Artificial Intelligence ·(unknown), (unknown), Wenjuan Tong, Yihao Liu, Rui Cui, Jinbo Hu, (unknown), (unknown), (unknown), (unknown), Longzhong Liu, Jie Ren, (unknown), Hong Yang, Wei Wang	2
2	Skin lesion segmentation by fusing local and global features using axial shift and spatial state model 2025 ·Applied Soft Computing ·(unknown), Qinghua Huang, Wei Wang, Longzhong Liu	0
3	Fully automated diagnosis of thyroid nodule ultrasound using brain-inspired inference 2024 ·Neurocomputing ·Guanghui Li, Qinghua Huang, Chunying Liu, (unknown), (unknown), Ruonan Liu, Longzhong Liu	19
4	Selective and multi-scale fusion Mamba for medical image segmentation 2024 ·Expert Systems with Applications ·(unknown), Qinghua Huang, Wei Wang, Longzhong Liu	25
5	The diagnosis and management of small and indeterminate lymph nodes in papillary thyroid cancer: preoperatively and intraoperatively 2024 ·Frontiers in Endocrinology ·(unknown), Jiahe Tian, Xinpei Deng, (unknown), Yin Li, (unknown), Longzhong Liu, Qiuli Li	0
6	A novel image-to-knowledge inference approach for automatically diagnosing tumors 2023 ·Expert Systems with Applications ·Qinghua Huang, (unknown), Zhenkun Lu, Shichong Zhou, Jiawei Li, Longzhong Liu, Cai Chang	50
7	Classification of tumor in one single ultrasound image via a novel multi-view learning strategy 2023 ·Pattern Recognition ·Yaozhong Luo, Qinghua Huang, Longzhong Liu	41
8	Deep fusion of human-machine knowledge with attention mechanism for breast cancer diagnosis 2023 ·Biomedical Signal Processing and Control ·Yaozhong Luo, Zhenkun Lu, Longzhong Liu, Qinghua Huang	37
9	Deep Learning Model Based on Dual-Modal Ultrasound and Molecular Data for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer 2023 ·Academic Radiology ·(unknown), Jun Shi, Saisai Ding, Huili Zhang, Xueyan Wang, (unknown), (unknown), (unknown), Longzhong Liu, Xiao‐Qing Pei	16
10	Knowledge Tensor-Aided Breast Ultrasound Image Assistant Inference Framework 2023 ·Healthcare ·Guanghui Li, (unknown), (unknown), Ying Liu, Longzhong Liu, Qinghua Huang	3
11	Fusion of Human Cognitive Knowledge and Machine Inference for Breast Cancer Detection 2023 ·(unknown), Yingchen Wang, Yongzhen Wang, Longzhong Liu, Jiawei Li, Qinghua Huang	0
12	Comparison of diagnostic accuracy and utility of artificial intelligence–optimized ACR TI-RADS and original ACR TI-RADS: a multi-center validation study based on 2061 thyroid nodules 2022 ·European Radiology ·Ying Liu, Xiaoxian Li, (unknown), Longzhong Liu, Ying Liao, (unknown), Weijun Huang, Qian Li, (unknown), Jianhua Zhou	15
13	Ultrasound-Based Radiomics Analysis for Predicting Disease-Free Survival of Invasive Breast Cancer 2021 ·Frontiers in Oncology ·(unknown), Haolin Chen, Xiaofeng Tang, Biyun Chen, Xinhua Jiang, Lizhi Liu, Yanqiu Feng, Longzhong Liu, Li Li	52
14	Value of dual-phase, contrast-enhanced CT combined with ultrasound for the diagnosis of metastasis to central lymph nodes in patients with papillary thyroid cancer 2021 ·Clinical Imaging ·Ying Liu, Sheng Li, (unknown), Caiyun He, Yun Miao, Min Liu, Jianhua Zhou, Longzhong Liu	8
15	SOX2 Promotes Cell Proliferation and Metastasis in Triple Negative Breast Cancer 2018 ·Frontiers in Pharmacology ·Peng Liu, Hailin Tang, Cailu Song, Jin Wang, Bo Chen, Xiaojia Huang, Xiao‐Qing Pei, Longzhong Liu	60
16	Assessment of Diagnostic Accuracy and Efficiency of Categories 4 and 5 of the Second Edition of the BI-RADS Ultrasound Lexicon in Diagnosing Breast Lesions 2016 ·Ultrasound in Medicine & Biology ·(unknown), Jianwei Wang, (unknown), Qingguang Lin, Feng Han, Longzhong Liu, Anhua Li	13
17	Comparison of radiological and clinical features of temporal lobe necrosis in nasopharyngeal carcinoma patients treated with 2D radiotherapy or intensity-modulated radiotherapy 2014 ·British Journal of Cancer ·(unknown), (unknown), Longzhong Liu, Rong Guo, Ying Sun, Li Li, (unknown), Mu‐Sheng Zeng, (unknown), (unknown), (unknown), (unknown), Jun Ma	25
18	Comparison of the imaging effects of SonoVue and Sonazoid at high frequency in rabbit-liver ultrasonography 2011 ·Zhonghua chaosheng yingxiangxue zazhi ·Longzhong Liu, Wei Zheng, Anhua Li, Yuhong Li, Jianwei Wang	1
19	Contrast-enhanced ultrasonography of hepatocellular carcinoma: Correlation between quantitative parameters and arteries in neoangiogenesis or sinusoidal capillarization 2011 ·European Journal of Radiology ·(unknown), Longzhong Liu, Wei Zheng, Mu Yan Cai, Feng Han, Jie He, (unknown), (unknown)	29
20	Haemodynamic parameters of the hepatic artery and vein can detect liver metastases: assessment using contrast-enhanced ultrasound 2008 ·British Journal of Radiology ·Jianhua Zhou, (unknown), Longhui Cao, Haoxiang Jiang, Longzhong Liu, Xiao‐Qing Pei, Feng Han	20

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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