Xiabi Liu

1.3k total citations
72 papers, 893 citations indexed

About

Xiabi Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiabi Liu has authored 72 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 18 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiabi Liu's work include Advanced Image and Video Retrieval Techniques (20 papers), Image Retrieval and Classification Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Xiabi Liu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (20 papers), Image Retrieval and Classification Techniques (19 papers) and Radiomics and Machine Learning in Medical Imaging (15 papers). Xiabi Liu collaborates with scholars based in China, United States and Pakistan. Xiabi Liu's co-authors include Xiaohong Ma, Yunde Jia, Yanfeng Zhao, Chunwu Zhou, Ling Ma, Xinming Zhao, Yixuan Gao, Shuwen Zhang, Zongjie Li and Zheng Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Xiabi Liu

65 papers receiving 854 citations

Peers

Xiabi Liu

CVPR

RNMI

PRM

Jitendra Virmani India

Kesari Verma India

Dongbao Yang China

Jyh-Shyan Lin United States

Hideki Nakayama Japan

Changmiao Wang China

Changhee Han Japan

Yongyi Yang United States

Hyeonseob Nam South Korea

Jitendra Virmani India

Xiabi Liu

577 ×1.3

CVPR

522 ×1.4

RNMI

711 ×1.9

101 ×0.7

PRM

158 ×1.4

Citations per year, relative to Xiabi Liu Xiabi Liu (= 1×) peers Jitendra Virmani

Countries citing papers authored by Xiabi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Xiabi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiabi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiabi Liu. A scholar is included among the top collaborators of Xiabi 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 Xiabi Liu. Xiabi 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

Liu, Xiabi, et al.. (2025). Dynamic learning of sample ambiguity-driven sample weighting for medical image classification. Expert Systems with Applications. 298. 129527–129527.

Liu, Xiabi, et al.. (2025). SIFT-Based Depth Estimation for Accurate 3D Reconstruction in Cultural Heritage Preservation. Applied System Innovation. 8(2). 43–43.

Liu, Xiabi, et al.. (2025). Mood-Based Music Discovery: A System for Generating Personalized Thai Music Playlists Using Emotion Analysis. Applied System Innovation. 8(2). 37–37.

Liu, Xiabi, et al.. (2025). UC-YOLOX: Enhancing urothelial carcinoma detection with an improved YOLOX architecture leveraging attention mechanisms. Biomedical Signal Processing and Control. 110. 108259–108259.

Cheng, Xi, et al.. (2024). Chatbot dialogic reading boosts comprehension for Chinese kindergarteners with higher language skills. Journal of Experimental Child Psychology. 240. 105842–105842. 8 indexed citations

Pan, Liyuan, et al.. (2024). MA-Net: Rethinking Neural Unit in the Light of Astrocytes. Proceedings of the AAAI Conference on Artificial Intelligence. 38(3). 2040–2048. 1 indexed citations

Pan, Liyuan, et al.. (2024). L2T-DFM: Learning to Teach with Dynamic Fused Metric. Pattern Recognition. 159. 111124–111124. 1 indexed citations

Duan, Xinhui, Yan Yang, Liyuan Pan, & Xiabi Liu. (2024). LCCo: Lending CLIP to co-segmentation. Pattern Recognition. 161. 111252–111252. 1 indexed citations

Zhang, Rui, Wang Qin, Chao Sun, et al.. (2022). Deep learning based on ultrasound to differentiate pathologically proven atypical and typical medullary thyroid carcinoma from follicular thyroid adenoma. European Journal of Radiology. 156. 110547–110547. 6 indexed citations

10.

Liu, Xiabi, et al.. (2021). Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation. Diagnostics. 11(3). 528–528. 62 indexed citations

11.

Feng, Bing, et al.. (2021). Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives. World Journal of Gastroenterology. 27(32). 5341–5350. 19 indexed citations

12.

Lei, Tao, et al.. (2021). Automatic segmentation of the prostate on MR images based on anatomy and deep learning. PubMed. 11598. 56–56. 3 indexed citations

13.

Liu, Xiabi, et al.. (2018). Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs. Medical & Biological Engineering & Computing. 56(12). 2201–2212. 23 indexed citations

14.

Liu, Xiabi, et al.. (2018). 3D GGO candidate extraction in lung CT images using multilevel thresholding on supervoxels. 12. 110–110. 3 indexed citations

15.

Liu, Xiabi, et al.. (2017). Empirical Driven Automatic Detection of Lobulation Imaging Signs in Lung CT. BioMed Research International. 2017. 1–15. 3 indexed citations

16.

Ma, Ling, Xiabi Liu, Yan Gao, et al.. (2017). A new method of content based medical image retrieval and its applications to CT imaging sign retrieval. Journal of Biomedical Informatics. 66. 148–158. 52 indexed citations

17.

Ma, Ling, Rongrong Guo, Zhiqiang Tian, et al.. (2016). Random walk based segmentation for the prostate on 3D transrectal ultrasound images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9786. 978607–978607. 2 indexed citations

18.

Ma, Ling, Xiabi Liu, & Baowei Fei. (2016). Learning with distribution of optimized features for recognizing common CT imaging signs of lung diseases. Physics in Medicine and Biology. 62(2). 612–632. 3 indexed citations

19.

Ma, Ling, Xiabi Liu, Song Li, et al.. (2014). A new classifier fusion method based on historical and on-line classification reliability for recognizing common CT imaging signs of lung diseases. Computerized Medical Imaging and Graphics. 40. 39–48. 15 indexed citations

20.

Liu, Xiabi, Yunde Jia, & Ming Tan. (2006). Geometrical-Statistical Modeling of Character Structures for Natural Stroke Extraction and Matching. INRIA a CCSD electronic archive server. 5 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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