Lujun Han

1.2k total citations
35 papers, 830 citations indexed

About

Lujun Han is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Lujun Han has authored 35 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 8 papers in Oncology. Recurrent topics in Lujun Han's work include Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (6 papers) and Advanced MRI Techniques and Applications (6 papers). Lujun Han is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), MRI in cancer diagnosis (6 papers) and Advanced MRI Techniques and Applications (6 papers). Lujun Han collaborates with scholars based in China, Hong Kong and United States. Lujun Han's co-authors include Xiaofei Lv, Yingwei Qiu, Varut Vardhanabhuti, Yihuai Hu, Chenyi Xie, Jianhua Fu, Jing Wen, Hong Yang, Joshua W. K. Ho and K.W. Chiu and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Lujun Han

34 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lujun Han China 18 526 228 189 149 136 35 830
Aaron M. Rutman United States 9 406 0.8× 241 1.1× 150 0.8× 130 0.9× 96 0.7× 13 891
Salvatore U. Berlangieri Australia 21 776 1.5× 462 2.0× 133 0.7× 199 1.3× 164 1.2× 53 1.6k
Yanqiu Feng China 13 372 0.7× 90 0.4× 59 0.3× 107 0.7× 150 1.1× 44 771
John K. Lyo United States 21 620 1.2× 361 1.6× 91 0.5× 143 1.0× 49 0.4× 33 1.2k
Sachiko Yuen Japan 20 1.2k 2.3× 203 0.9× 61 0.3× 119 0.8× 201 1.5× 38 1.6k
Matthew B. Spraker United States 18 505 1.0× 487 2.1× 124 0.7× 70 0.5× 176 1.3× 54 1.0k
Inpyeong Hwang South Korea 17 511 1.0× 204 0.9× 28 0.1× 160 1.1× 49 0.4× 64 938
Sunyoung Jang United States 12 261 0.5× 295 1.3× 110 0.6× 231 1.6× 28 0.2× 34 1.3k
Daniel Appelbaum United States 14 547 1.0× 424 1.9× 16 0.1× 116 0.8× 162 1.2× 38 952
Lesley Honeyfield United Kingdom 15 284 0.5× 153 0.7× 38 0.2× 80 0.5× 262 1.9× 29 583

Countries citing papers authored by Lujun Han

Since Specialization
Citations

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

Fields of papers citing papers by Lujun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lujun Han

This figure shows the co-authorship network connecting the top 25 collaborators of Lujun Han. A scholar is included among the top collaborators of Lujun Han 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 Lujun Han. Lujun Han 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.
Cao, Xun, Han-Ying Huang, Jiayu Zhou, et al.. (2025). Capecitabine Maintenance Therapy in Patients with Residual Nasopharyngeal Carcinoma: A Single-Arm, Phase II Trial. Clinical Cancer Research. 31(15). 3133–3141. 1 indexed citations
2.
Chiu, K.W., Ada W.Y. Leung, Ka Yu Tse, et al.. (2025). CT-based radiomics model to predict platinum sensitivity in epithelial ovarian carcinoma: a multicentre study. Cancer Imaging. 25(1). 85–85. 1 indexed citations
3.
Cao, Xun, Jiayu Zhou, Xi Chen, et al.. (2024). Toripalimab plus capecitabine in the treatment of patients with residual nasopharyngeal carcinoma: a single-arm phase 2 trial. Nature Communications. 15(1). 949–949. 5 indexed citations
4.
Cheng, Yuan‐Tso, et al.. (2024). The impact of setup errors on dose distribution in cervical cancer radiotherapy and the margin from CTV to PTV. Journal of Cancer Research and Clinical Oncology. 150(12). 516–516.
5.
Wang, Yandan, et al.. (2024). Multicenter Integration of MR Radiomics, Deep Learning, and Clinical Indicators for Predicting Hepatocellular Carcinoma Recurrence After Thermal Ablation. Journal of Hepatocellular Carcinoma. Volume 11. 1861–1874. 4 indexed citations
6.
Huang, Hongyan, Lujun Han, Yanyu Zhang, et al.. (2023). Multiphase and multiparameter MRI-based radiomics for prediction of tumor response to neoadjuvant therapy in locally advanced rectal cancer. Radiation Oncology. 18(1). 179–179. 9 indexed citations
8.
Cao, Peng, et al.. (2023). CT-based deep learning segmentation of ovarian cancer and the stability of the extracted radiomics features. Quantitative Imaging in Medicine and Surgery. 13(8). 5218–5229. 13 indexed citations
10.
Xu, Zeyan, Ke Zhao, Lujun Han, et al.. (2021). Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancer. Precision Clinical Medicine. 4(2). 119–128. 1 indexed citations
11.
12.
Lv, Xiaofei, Zheng Guo, Lin‐Quan Tang, et al.. (2021). Divergent effects of irradiation on brain cortical morphology in patients with nasopharyngeal carcinoma: one-year follow-up study using structural magnetic resonance imaging. Quantitative Imaging in Medicine and Surgery. 11(6). 2307–2320. 3 indexed citations
13.
Han, Lujun, et al.. (2021). CT texture analysis in histological classification of epithelial ovarian carcinoma. European Radiology. 31(7). 5050–5058. 19 indexed citations
14.
Ye, Min, Zheng Guo, Xiaoshan Lin, et al.. (2020). Aberrant inter-hemispheric coordination characterizes the progression of minimal hepatic encephalopathy in patients with HBV-related cirrhosis. NeuroImage Clinical. 25. 102175–102175. 14 indexed citations
15.
Lv, Yanchun, Jian Zhou, Xiaofei Lv, et al.. (2020). Dual-energy spectral CT quantitative parameters for the differentiation of Glioma recurrence from treatment-related changes: a preliminary study. BMC Medical Imaging. 20(1). 5–5. 9 indexed citations
16.
Guo, Zheng, Lujun Han, Yadi Yang, et al.. (2018). Longitudinal brain structural alterations in patients with nasopharyngeal carcinoma early after radiotherapy. NeuroImage Clinical. 19. 252–259. 28 indexed citations
17.
Lv, Xiaofei, Haoqiang He, Yadi Yang, et al.. (2018). Radiation-induced hippocampal atrophy in patients with nasopharyngeal carcinoma early after radiotherapy: a longitudinal MR-based hippocampal subfield analysis. Brain Imaging and Behavior. 13(4). 1160–1171. 41 indexed citations
18.
Qiu, Yingwei, Zheng Guo, Lujun Han, et al.. (2017). Network-level dysconnectivity in patients with nasopharyngeal carcinoma (NPC) early post-radiotherapy: longitudinal resting state fMRI study. Brain Imaging and Behavior. 12(5). 1279–1289. 30 indexed citations
19.
Qiu, Yingwei, Xiaofei Lv, Huanhuan Su, et al.. (2013). Reduced Regional Homogeneity in Bilateral Frontostriatal System Relates to Higher Impulsivity Behavior in Codeine-Containing Cough Syrups Dependent Individuals. PLoS ONE. 8(11). e78738–e78738. 24 indexed citations
20.
Qiu, Yingwei, Lujun Han, Xiaofei Lv, et al.. (2011). Regional Homogeneity Changes in Heroin-dependent Individuals: Resting-State Functional MR Imaging Study. Radiology. 261(2). 551–559. 59 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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