Hong Lu

1.9k total citations
63 papers, 910 citations indexed

About

Hong Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Hong Lu has authored 63 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cancer Research and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Hong Lu's work include MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Breast Cancer Treatment Studies (11 papers). Hong Lu is often cited by papers focused on MRI in cancer diagnosis (13 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Breast Cancer Treatment Studies (11 papers). Hong Lu collaborates with scholars based in China, United States and Japan. Hong Lu's co-authors include Peifang Liu, Hong Zheng, Kexin Chen, Xishan Hao, Wei Zhang, Lína Zhang, Fengju Song, Limei Hu, Yuexin Liu and Da Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Hong Lu

60 papers receiving 895 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Lu China 18 286 263 257 204 139 63 910
Qinghua Cao China 19 163 0.6× 232 0.9× 444 1.7× 268 1.3× 172 1.2× 71 1.2k
Aida Laurinavičienė Lithuania 16 181 0.6× 200 0.8× 190 0.7× 245 1.2× 67 0.5× 39 801
Donnette Dabydeen United States 10 260 0.9× 102 0.4× 324 1.3× 163 0.8× 116 0.8× 16 850
Giu‐Cheng Hsu Taiwan 19 173 0.6× 269 1.0× 423 1.6× 267 1.3× 58 0.4× 43 980
Kenneth J. Niermann United States 19 506 1.8× 141 0.5× 338 1.3× 414 2.0× 228 1.6× 40 1.4k
Shaolei Lu United States 22 132 0.5× 274 1.0× 582 2.3× 474 2.3× 169 1.2× 81 1.4k
Attila Marcell Szász Hungary 24 141 0.5× 420 1.6× 594 2.3× 611 3.0× 306 2.2× 127 1.7k
Liwen Zhang China 15 322 1.1× 278 1.1× 474 1.8× 170 0.8× 280 2.0× 57 1.1k
Michael Yang United States 22 503 1.8× 174 0.7× 408 1.6× 592 2.9× 578 4.2× 49 1.5k
Hui Zeng China 17 157 0.5× 125 0.5× 397 1.5× 357 1.8× 168 1.2× 61 1.1k

Countries citing papers authored by Hong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Hong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Lu. A scholar is included among the top collaborators of Hong 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 Hong Lu. Hong 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.
Ma, Yue, Yafei Wang, Yuwei Zhang, et al.. (2025). Comparison of contrast-enhanced cone-beam breast CT, MRI, and mammography for breast cancer characterization. European Radiology. 35(10). 6398–6409.
2.
Yang, Wei, et al.. (2024). Obesity, abdominal obesity, metabolic obesity phenotypes, and Helicobacter pylori infection: results from NHANES 1999–2000. BMC Infectious Diseases. 24(1). 676–676. 4 indexed citations
3.
Cai, Yuxin, Ziling Yu, Fandong Zhang, et al.. (2024). AI-based strategies in breast mass ≤ 2 cm classification with mammography and tomosynthesis. The Breast. 78. 103805–103805. 1 indexed citations
4.
Li, Fangfang, et al.. (2024). Predictive value of MRI-based deep learning model for lymphovascular invasion status in node-negative invasive breast cancer. Scientific Reports. 14(1). 16204–16204. 3 indexed citations
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6.
Choi, Jung Woo, Erin Dean, Hong Lu, et al.. (2023). Repeatability of metabolic tumor burden and lesion glycolysis between clinical readers. Frontiers in Immunology. 14. 994520–994520. 5 indexed citations
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8.
Huang, Xiaomei, Zhenwei Shi, Chunling Liu, et al.. (2022). An MRI-based Scoring System for Preoperative Prediction of Axillary Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer: A Multicenter Retrospective Study. Academic Radiology. 30(7). 1257–1269. 6 indexed citations
9.
Sun, Bo, et al.. (2022). Correlation analysis between shear-wave elastography and pathological profiles in breast cancer. Breast Cancer Research and Treatment. 197(2). 269–276. 4 indexed citations
10.
Xu, Yilin, Xuejing Liu, Ying Zhu, & Hong Lu. (2022). Preoperative localization of sentinel lymph nodes using percutaneous contrast-enhanced ultrasonography in patients with breast cancer. Gland Surgery. 11(2). 369–377. 5 indexed citations
11.
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13.
Zhao, Rui, et al.. (2020). Heterogeneity of enhancement kinetics in dynamic contrast-enhanced MRI and implication of distant metastasis in invasive breast cancer. Clinical Radiology. 75(12). 961.e25–961.e32. 3 indexed citations
14.
15.
Zhang, Yuwei, Yue Ma, Haijie Li, et al.. (2020). Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer. European Radiology. 30(5). 2731–2739. 18 indexed citations
16.
Xiao, Xia, et al.. (2020). Accurate construction of 3-D numerical breast models with anatomical information through MRI scans. Computers in Biology and Medicine. 130. 104205–104205. 7 indexed citations
17.
Li, Yong, Can Zhang, Rui Ji, et al.. (2019). Prognostic significance of the controlling nutritional status (CONUT) score in epithelial ovarian cancer. International Journal of Gynecological Cancer. 30(1). 74–82. 27 indexed citations
18.
Huang, Teng, Wei Huang, Hong Lu, et al.. (2018). Identification and validation a TGF-β-associated long non-coding RNA of head and neck squamous cell carcinoma by bioinformatics method. Journal of Translational Medicine. 16(1). 46–46. 27 indexed citations
19.
Dong, Chuan, Jia Wu, Wen Tao Yang, et al.. (2010). Molecular subtype approximated by quantitative estrogen receptor, progesterone receptor and Her2 can predict the prognosis of breast cancer.. PubMed. 96(1). 103–10. 33 indexed citations
20.
Lu, Hong, et al.. (2001). Purification, Refolding of Hybrid hIFNγ-Kringle 5 Expressed in Escherichia coli. Current Microbiology. 42(3). 211–216. 16 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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