Xiaobo Lai

1.2k total citations
33 papers, 946 citations indexed

About

Xiaobo Lai is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, Xiaobo Lai has authored 33 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Neurology. Recurrent topics in Xiaobo Lai's work include Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Xiaobo Lai is often cited by papers focused on Brain Tumor Detection and Classification (12 papers), Advanced Neural Network Applications (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Xiaobo Lai collaborates with scholars based in China, United Kingdom and United States. Xiaobo Lai's co-authors include Huashan Liu, Wenxiang Wu, Xiaomei Xu, Guang Yang, W. Yang, Ying Fang, Shiqiang Zhu, Yongkai Liu, Wuneng Zhou and He Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Affective Disorders.

In The Last Decade

Xiaobo Lai

28 papers receiving 914 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaobo Lai China 14 458 327 281 252 189 33 946
Jun Jiang China 17 656 1.4× 472 1.4× 303 1.1× 27 0.1× 327 1.7× 81 1.2k
Chun-Mei Feng China 15 477 1.0× 254 0.8× 262 0.9× 33 0.1× 354 1.9× 51 1.1k
Yuqian Zhao China 20 664 1.4× 96 0.3× 296 1.1× 21 0.1× 264 1.4× 99 1.2k
Shanlin Sun China 10 228 0.5× 51 0.2× 170 0.6× 266 1.1× 172 0.9× 47 736
T. A. Joyce Switzerland 10 351 0.8× 45 0.1× 182 0.6× 131 0.5× 193 1.0× 20 673
Tianwei Zhou China 19 457 1.0× 42 0.1× 180 0.6× 93 0.4× 149 0.8× 73 954
Song Guo China 15 465 1.0× 60 0.2× 660 2.3× 48 0.2× 92 0.5× 53 1.1k
Toufique Ahmed Soomro Pakistan 18 566 1.2× 269 0.8× 674 2.4× 17 0.1× 171 0.9× 46 1.1k
Jiayu Xu China 9 408 0.9× 128 0.4× 223 0.8× 13 0.1× 256 1.4× 27 738

Countries citing papers authored by Xiaobo Lai

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobo Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Lai

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

All Works

20 of 20 papers shown
1.
2.
Yang, Zhiyuan, et al.. (2025). Estimating the longitudinal causal effect of insufficient sleep on depressive symptoms: Evidence from the CHARLS study. Journal of Affective Disorders. 387. 119543–119543.
3.
4.
Wu, Xiaoming, et al.. (2024). CT-based radiomics analysis for prediction of pathological subtypes of lung adenocarcinoma. Journal of Radiation Research and Applied Sciences. 17(4). 101174–101174.
5.
Guo, Ruichao, et al.. (2024). Staged cluster transformers for intracranial aneurysms segmentation from structure fused 3D MRA. International Journal of Imaging Systems and Technology. 34(2). 1 indexed citations
6.
Li, Ruipeng, et al.. (2024). MRI-based deep learning for differentiating between bipolar and major depressive disorders. Psychiatry Research Neuroimaging. 345. 111907–111907. 3 indexed citations
7.
Ye, Jianming, et al.. (2023). Non‐invasive prediction of overall survival time for glioblastoma multiforme patients based on multimodal MRI radiomics. International Journal of Imaging Systems and Technology. 33(4). 1261–1274. 10 indexed citations
8.
Ye, Jianming, Xiaomei Xu, Wenting Zhou, et al.. (2022). OTO-Net: An Automated MRA Image Segmentation Network for Intracranial Aneurysms. Computational Intelligence and Neuroscience. 2022. 1–14. 3 indexed citations
9.
Ye, Jianming, Xiaomei Xu, Yan Wu, et al.. (2022). 3D FRN-ResNet: An Automated Major Depressive Disorder Structural Magnetic Resonance Imaging Data Identification Framework. Frontiers in Aging Neuroscience. 14. 912283–912283. 9 indexed citations
10.
Wu, Yan, et al.. (2022). Combined Channel Attention and Spatial Attention Module Network for Chinese Herbal Slices Automated Recognition. Frontiers in Neuroscience. 16. 920820–920820. 11 indexed citations
11.
Yang, Guang, et al.. (2022). 3D AGSE-VNet: an automatic brain tumor MRI data segmentation framework. BMC Medical Imaging. 22(1). 6–6. 103 indexed citations
12.
Fang, Ying, et al.. (2021). Automatic Retinal Vessel Segmentation Based on an Improved U-Net Approach. Scientific Programming. 2021. 1–15. 12 indexed citations
13.
Ye, Jianming, He Huang, Xiaomei Xu, et al.. (2021). Tumor Grade and Overall Survival Prediction of Gliomas Using Radiomics. Scientific Programming. 2021. 1–11. 4 indexed citations
14.
Fang, Ying, et al.. (2021). Nonlocal convolutional block attention module VNet for gliomas automatic segmentation. International Journal of Imaging Systems and Technology. 32(2). 528–543. 22 indexed citations
15.
Huang, He, et al.. (2021). Overall Survival Prediction for Gliomas Using a Novel Compound Approach. Frontiers in Oncology. 11. 724191–724191. 27 indexed citations
16.
Huang, He, Guang Yang, Wenbo Zhang, et al.. (2021). A Deep Multi-Task Learning Framework for Brain Tumor Segmentation. Frontiers in Oncology. 11. 690244–690244. 79 indexed citations
17.
Zhou, Jiali, Jinghui Lu, Chen Gao, et al.. (2020). Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI. BMC Cancer. 20(1). 100–100. 85 indexed citations
18.
Yang, Guang, Ying Fang, Ruipeng Li, et al.. (2020). 3D PBV-Net: An automated prostate MRI data segmentation method. Computers in Biology and Medicine. 128. 104160–104160. 71 indexed citations
19.
Liu, Huashan, Xiaobo Lai, Shiqiang Zhu, & Xiaofei Liao. (2011). Jerk-bounded and -continuous trajectory planning for a 6-DOF serial robot manipulator with revolute joints. Chinese Control Conference. 3462–3466. 3 indexed citations
20.
Lai, Xiaobo, et al.. (2009). Research on driving wheel control of cleaning robot based on fuzzy adaptive tuning PID. 55. 535–540. 4 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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