Lu Zhao

403 total citations
28 papers, 291 citations indexed

About

Lu Zhao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Lu Zhao has authored 28 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Lu Zhao's work include Image Retrieval and Classification Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Lu Zhao is often cited by papers focused on Image Retrieval and Classification Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). Lu Zhao collaborates with scholars based in China, United States and Finland. Lu Zhao's co-authors include Ming Yin, Zejian Wang, Qiaoyan Zhang, Yin Wang, Zheng Xu, Qiaoyan Zhang, Ying Wang, Wang Yin, Jun Zhao and Xudong Shen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Medical Imaging and Plant and Soil.

In The Last Decade

Lu Zhao

27 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Zhao China	9	82	63	48	28	27	28	291
Yuchen Zhang China	13	115 1.4×	32 0.5×	22 0.5×	25 0.9×	68 2.5×	46	399
Young-Gon Kim South Korea	9	54 0.7×	94 1.5×	36 0.8×	65 2.3×	12 0.4×	22	295
Mohit Agrawal India	10	110 1.3×	14 0.2×	19 0.4×	18 0.6×	32 1.2×	54	294
Tyler Bahr United States	10	118 1.4×	54 0.9×	7 0.1×	25 0.9×	17 0.6×	19	314
Masaki Makino Japan	15	127 1.5×	43 0.7×	76 1.6×	8 0.3×	11 0.4×	29	638
Jitao Ling China	11	118 1.4×	34 0.5×	20 0.4×	6 0.2×	13 0.5×	36	328
Qingqing Shen China	8	101 1.2×	17 0.3×	9 0.2×	19 0.7×	31 1.1×	12	341
Cong Wei China	9	107 1.3×	14 0.2×	36 0.8×	16 0.6×	8 0.3×	25	283
Xiaojun Chen China	10	99 1.2×	15 0.2×	16 0.3×	14 0.5×	18 0.7×	21	333
Minyu Zhang China	12	132 1.6×	14 0.2×	14 0.3×	39 1.4×	27 1.0×	29	309

Countries citing papers authored by Lu Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Lu Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Zhao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fu, Yuanyuan, Yujia Shen, Jingchen Ma, et al.. (2025). Lung Cancer Screening Classification by Sequential Multi-Instance Learning (SMILE) Framework With Multiple CT Scans. IEEE Transactions on Medical Imaging. 44(8). 3151–3161.

Zhao, Lu, Qi Qiu, Shaowei Zhang, Feng Yan, & Xia Li. (2024). Tau pathology mediated the plasma biomarkers and cognitive function in patients with mild cognitive impairment. Experimental Gerontology. 195. 112535–112535. 1 indexed citations

Zhao, Lu, et al.. (2024). Dual-space disentangled-multimodal network (DDM-net) for glioma diagnosis and prognosis with incomplete pathology and genomic data. Physics in Medicine and Biology. 69(8). 85028–85028. 2 indexed citations

Zhao, Lu, et al.. (2023). CoADS: Cross attention based dual-space graph network for survival prediction of lung cancer using whole slide images. Computer Methods and Programs in Biomedicine. 236. 107559–107559. 8 indexed citations

Zhao, Lu, et al.. (2023). Hierarchical multimodal fusion framework based on noisy label learning and attention mechanism for cancer classification with pathology and genomic features. Computerized Medical Imaging and Graphics. 104. 102176–102176. 15 indexed citations

Yu, Jie, Manhua Liu, Qi Qiu, et al.. (2023). The relationship between depressive symptoms and cognitive function in Alzheimer's disease: The mediating effect of amygdala functional connectivity and radiomic features. Journal of Affective Disorders. 330. 101–109. 15 indexed citations

Xie, Yuan, Hai Zhong, Lu Zhao, et al.. (2023). Automatic classification of heart failure based on Cine-CMR images. International Journal of Computer Assisted Radiology and Surgery. 19(2). 355–365. 4 indexed citations

Ding, Yi, et al.. (2022). Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3335–3342. 2 indexed citations

Zhang, Shaowei, et al.. (2022). Radiomic Features of the Hippocampus for Diagnosing Early-Onset and Late-Onset Alzheimer’s Disease. Frontiers in Aging Neuroscience. 13. 789099–789099. 17 indexed citations

10.

Zhao, Lu, et al.. (2022). Generalized attention-based deep multi-instance learning. Multimedia Systems. 29(1). 275–287. 4 indexed citations

11.

Zhao, Lu, Xiaowei Xu, Hai Zhong, et al.. (2021). Lung cancer subtype classification using histopathological images based on weakly supervised multi-instance learning. Physics in Medicine and Biology. 66(23). 235013–235013. 17 indexed citations

12.

Zhao, Xiaolan, Zhibin Ding, Yi Wang, et al.. (2021). Comparing deep learning with several typical methods in prediction of assessing chlorophyll-a by remote sensing: a case study in Taihu Lake, China. Water Science & Technology Water Supply. 21(7). 3710–3724. 20 indexed citations

13.

Sun, Fei, Yuan Fang, Yining Gao, et al.. (2020). Worries, strategies, and confidence of older Chinese adults during the 2019 novel coronavirus outbreak. International Journal of Geriatric Psychiatry. 35(12). 1458–1465. 10 indexed citations

14.

Zhao, Lu, et al.. (2019). [Application of affinity chromatography and its mathematical model in study of active components of traditional Chinese medicine].. PubMed. 44(1). 40–47. 1 indexed citations

15.

Wen, Xianbin, et al.. (2018). Multiple- Instance Learning with Empirical Estimation Guided Instance Selection. 770–775. 3 indexed citations

16.

Zhao, Lu, Yin Wang, Zejian Wang, et al.. (2015). Effects of dietary resveratrol on excess-iron-induced bone loss via antioxidative character. The Journal of Nutritional Biochemistry. 26(11). 1174–1182. 59 indexed citations

17.

Zhao, Lu, Sha Liu, Yin Wang, et al.. (2015). Effects of Curculigoside on Memory Impairment and Bone Loss via Anti-Oxidative Character in APP/PS1 Mutated Transgenic Mice. PLoS ONE. 10(7). e0133289–e0133289. 28 indexed citations

18.

Liu, Jiafeng, et al.. (2014). Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning. International Journal of Machine Learning and Cybernetics. 6(1). 83–93. 1 indexed citations

19.

Zhang, Can, et al.. (2014). RhoC Involved in the Migration of Neural Stem/Progenitor Cells. Cellular and Molecular Neurobiology. 34(3). 409–417. 8 indexed citations

20.

Zhao, Lu, Wang Yin, Xudong Shen, et al.. (2012). Structural characterization and radioprotection of bone marrow hematopoiesis of two novel polysaccharides from the root of Angelica sinensis (Oliv.) Diels. Fitoterapia. 83(8). 1712–1720. 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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