Hongbing Lu

6.3k total citations
206 papers, 4.7k citations indexed

About

Hongbing Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hongbing Lu has authored 206 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 143 papers in Radiology, Nuclear Medicine and Imaging, 80 papers in Biomedical Engineering and 39 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hongbing Lu's work include Medical Imaging Techniques and Applications (85 papers), Advanced X-ray and CT Imaging (56 papers) and Radiomics and Machine Learning in Medical Imaging (43 papers). Hongbing Lu is often cited by papers focused on Medical Imaging Techniques and Applications (85 papers), Advanced X-ray and CT Imaging (56 papers) and Radiomics and Machine Learning in Medical Imaging (43 papers). Hongbing Lu collaborates with scholars based in China, United States and United Kingdom. Hongbing Lu's co-authors include Zhengrong Liang, Jing Wang, Tianfang Li, Jianhua Ma, Xi Zhang, Xiaopan Xu, Lihong Li, Baojuan Li, Guopeng Zhang and Yang Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Hongbing Lu

190 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbing Lu China 38 3.4k 1.9k 774 694 468 206 4.7k
Klaus Maier‐Hein Germany 38 3.9k 1.1× 774 0.4× 785 1.0× 832 1.2× 330 0.7× 167 5.9k
Min‐Ying Su United States 45 4.4k 1.3× 771 0.4× 245 0.3× 891 1.3× 364 0.8× 235 7.4k
Jiani Hu China 47 2.5k 0.7× 637 0.3× 1.8k 2.4× 718 1.0× 674 1.4× 307 7.9k
Anthony N. Price United Kingdom 32 2.3k 0.7× 735 0.4× 346 0.4× 333 0.5× 628 1.3× 130 4.9k
Qianjin Feng China 41 2.9k 0.8× 1.7k 0.9× 2.0k 2.6× 410 0.6× 221 0.5× 234 5.7k
David J. Hawkes United Kingdom 31 1.8k 0.5× 742 0.4× 1.1k 1.4× 988 1.4× 671 1.4× 137 3.9k
Keyvan Farahani United States 34 2.5k 0.7× 1.1k 0.6× 1.0k 1.4× 547 0.8× 365 0.8× 87 4.7k
Craig H. Meyer United States 44 5.7k 1.6× 990 0.5× 394 0.5× 577 0.8× 844 1.8× 190 8.2k
Robert J. Maciunas United States 34 1.3k 0.4× 1.1k 0.6× 1.2k 1.6× 588 0.8× 965 2.1× 114 5.6k
Olaf Dietrich Germany 45 4.7k 1.4× 764 0.4× 249 0.3× 1.0k 1.5× 702 1.5× 174 6.9k

Countries citing papers authored by Hongbing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hongbing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbing Lu. A scholar is included among the top collaborators of Hongbing Lu 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 Hongbing Lu. Hongbing Lu 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.
Zhang, Rui, Yuanke Zhang, Yanfei Guo, et al.. (2025). DSCN-Net: domain-specific contrastive network for unsupervised low-dose CT denoising. Neurocomputing. 651. 130919–130919.
3.
Lu, Hongbing, Rui Tian, Lili Chen, et al.. (2025). Pyrimidine-based single-molecule fluorescent probe for sensing of pH, trivalent ions (Cr3+/Al3+/Fe3+), homocysteine, and hydroxyl radicals. Dyes and Pigments. 242. 112964–112964.
4.
5.
Gao, Peng, et al.. (2024). Anticancer Effects of radiation dose and dose fractionation on X-ray-induced photodynamic therapy. SHILAP Revista de lepidopterología. 17(3). 100963–100963. 1 indexed citations
6.
7.
Qiu, Shi, Hongbing Lu, Jun Shu, Ting Liang, & Tao Zhou. (2024). Colorectal Cancer Segmentation Algorithm Based on Deep Features from Enhanced CT Images. Computers, materials & continua/Computers, materials & continua (Print). 80(2). 2495–2510. 2 indexed citations
8.
Liu, Xiaoxu, et al.. (2023). X-ray excited luminescent nanoparticles for deep photodynamic therapy. RSC Advances. 13(43). 30133–30150. 14 indexed citations
9.
Huang, Dong, et al.. (2022). Content and shape attention network for bladder wall and cancer segmentation in MRIs. Computers in Biology and Medicine. 148. 105809–105809. 8 indexed citations
10.
Yin, Jipeng, Xin Bo, Mingru Zhang, et al.. (2021). 68Ga-Labeled GX1 Dimer: A Novel Probe for PET/Cerenkov Imaging Targeting Gastric Cancer. Frontiers in Oncology. 11. 750376–750376. 3 indexed citations
11.
Wang, Jun, Xiaorong Chen, Hongbing Lu, et al.. (2020). Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images. Medical Physics. 47(4). 1738–1749. 25 indexed citations
12.
Wang, Huanjun, Xiaopan Xu, Xi Zhang, et al.. (2020). Elaboration of a multisequence MRI-based radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer: a double-center study. European Radiology. 30(9). 4816–4827. 58 indexed citations
13.
Pu, Huangsheng, et al.. (2019). Principal Component Analysis Based Dynamic Cone Beam X-Ray Luminescence Computed Tomography: A Feasibility Study. IEEE Transactions on Medical Imaging. 38(12). 2891–2902. 5 indexed citations
14.
Zhang, Xiaofeng, Bin Lan, Sicheng Wang, et al.. (2019). Low-Dose X-ray Excited Photodynamic Therapy Based on NaLuF4:Tb3+–Rose Bengal Nanocomposite. Bioconjugate Chemistry. 30(8). 2191–2200. 37 indexed citations
15.
Liu, Liwen, Peng Gao, Huangsheng Pu, et al.. (2018). Regularized reconstruction based on joint L1 and total variation for sparse-view cone-beam X-ray luminescence computed tomography. Biomedical Optics Express. 10(1). 1–1. 24 indexed citations
16.
Pu, Huangsheng, et al.. (2018). Spectral-resolved cone-beam X-ray luminescence computed tomography with principle component analysis. Biomedical Optics Express. 9(6). 2844–2844. 6 indexed citations
17.
Zhang, Hao, Jing Wang, Jianhua Ma, Hongbing Lu, & Zhengrong Liang. (2014). Statistical models and regularization strategies in statistical image reconstruction of low-dose X-ray computed tomography: a survey. arXiv (Cornell University). 2 indexed citations
18.
Ma, Jianhua, Zhengrong Liang, Yi Fan, et al.. (2012). Variance analysis of x-ray CT sinograms in the presence of electronic noise background. Medical Physics. 39(7Part1). 4051–4065. 134 indexed citations
19.
Wang, Jing, Hongbing Lu, Tianfang Li, & Zhengrong Liang. (2005). Sinogram noise reduction for low-dose CT by statistics-based nonlinear filters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5747. 2058–2058. 74 indexed citations
20.
Lu, Hongbing, et al.. (1998). Cross-reference weighted least square estimates for positron emission tomography. IEEE Transactions on Medical Imaging. 17(1). 1–8. 10 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Klaus Maier‐Hein Breakdown of academic impact, for papers by Min‐Ying Su Breakdown of academic impact, for papers by Jiani Hu Breakdown of academic impact, for papers by Anthony N. Price Breakdown of academic impact, for papers by Qianjin Feng Breakdown of academic impact, for papers by David J. Hawkes Breakdown of academic impact, for papers by Keyvan Farahani Breakdown of academic impact, for papers by Craig H. Meyer Breakdown of academic impact, for papers by Robert J. Maciunas Breakdown of academic impact, for papers by Olaf Dietrich
Rankless by CCL
2026