Jianping Lu

5.9k total citations
201 papers, 3.3k citations indexed

About

Jianping Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Jianping Lu has authored 201 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Radiology, Nuclear Medicine and Imaging, 78 papers in Pulmonary and Respiratory Medicine and 70 papers in Oncology. Recurrent topics in Jianping Lu's work include Radiomics and Machine Learning in Medical Imaging (54 papers), Cerebrovascular and Carotid Artery Diseases (34 papers) and Pancreatic and Hepatic Oncology Research (33 papers). Jianping Lu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (54 papers), Cerebrovascular and Carotid Artery Diseases (34 papers) and Pancreatic and Hepatic Oncology Research (33 papers). Jianping Lu collaborates with scholars based in China, United States and United Kingdom. Jianping Lu's co-authors include Chao Ma, Jun Yan, Luguang Chen, Yun Bian, Chengcheng Zhu, Andrew J. Degnan, Zhongzhao Teng, Shuangmu Zhuo, Wenjia Peng and Fu Shen and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Jianping Lu

192 papers receiving 3.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jianping Lu 1.3k 1.3k 953 642 446 201 3.3k
Rudolf A. Werner 1.9k 1.4× 1.4k 1.1× 1.4k 1.5× 766 1.2× 159 0.4× 247 4.1k
Clemens C. Cyran 922 0.7× 1.0k 0.8× 432 0.5× 698 1.1× 260 0.6× 126 2.6k
Mehrbod S. Javadi 1.8k 1.4× 1.3k 1.0× 419 0.4× 358 0.6× 259 0.6× 93 3.1k
Antonia Dimitrakopoulou‐Strauss 2.9k 2.2× 1.8k 1.4× 2.1k 2.2× 735 1.1× 372 0.8× 211 5.9k
Nadia N. Laack 611 0.5× 2.8k 2.1× 1.2k 1.3× 758 1.2× 283 0.6× 165 4.8k
Andrei Iagaru 2.9k 2.2× 2.1k 1.6× 1.3k 1.4× 421 0.7× 397 0.9× 253 5.0k
Ludwig G. Strauss 3.1k 2.4× 1.6k 1.2× 1.3k 1.4× 597 0.9× 274 0.6× 147 5.3k
Wenyin Shi 595 0.4× 1.7k 1.3× 832 0.9× 561 0.9× 226 0.5× 181 3.4k
Jörg Kotzerke 3.0k 2.3× 1.9k 1.5× 870 0.9× 278 0.4× 292 0.7× 181 4.8k
Percy Lee 2.0k 1.5× 2.5k 2.0× 1.7k 1.8× 360 0.6× 311 0.7× 168 5.3k

Countries citing papers authored by Jianping Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jianping Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianping Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jianping Lu. A scholar is included among the top collaborators of Jianping 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 Jianping Lu. Jianping 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.
Lin, Nan, et al.. (2024). The Monocyte-to-High-Density Lipoprotein Cholesterol Ratio as a Novel Predictor of the Prevalence of Senile Osteoporosis. Clinical Interventions in Aging. Volume 19. 1773–1788. 1 indexed citations
2.
Chen, Yufei, Chao Ma, Panpan Yang, et al.. (2024). Values of apparent diffusion coefficient in pancreatic cancer patients receiving neoadjuvant therapy. BMC Cancer. 24(1). 1160–1160. 1 indexed citations
3.
Li, Zhihui, Yuan Yuan, Minglu Liu, et al.. (2024). Rectal adenocarcinoma: Ex vivo 9.4T MRI—correlation with histopathologic treatment response to neoadjuvant chemoradiotherapy. Cancer Medicine. 13(15). e70075–e70075. 1 indexed citations
4.
Zhang, Gaofeng, Qian Zhan, Panpan Yang, et al.. (2024). Automated pancreatic segmentation and fat fraction evaluation based on a self-supervised transfer learning network. Computers in Biology and Medicine. 170. 107989–107989. 5 indexed citations
5.
Zhan, Qian, Lianzhou Wang, Yu Chen, et al.. (2024). Label-free differentiation of pancreatic pathologies from normal pancreas utilizing end-to-end three-dimensional multimodal networks on CT. Clinical Radiology. 79(9). e1159–e1166.
6.
Yang, Panpan, Zhen Wang, Jun Wang, et al.. (2023). Tumor size measurements of pancreatic cancer with neoadjuvant therapy based on RECIST guidelines: is MRI as effective as CT?. Cancer Imaging. 23(1). 8–8. 6 indexed citations
7.
Chen, Yukun, Panpan Yang, Caixia Fu, et al.. (2023). Variabilities in apparent diffusion coefficient (ADC) measurements of the spleen and the paraspinal muscle: A single center large cohort study. Heliyon. 9(7). e18166–e18166. 2 indexed citations
8.
Wang, Jian, Chao Ma, Panpan Yang, et al.. (2022). Diffusion‐Weighted Imaging of the Abdomen: Correction for Gradient Nonlinearity Bias in Apparent Diffusion Coefficient. Journal of Magnetic Resonance Imaging. 58(1). 223–231. 6 indexed citations
9.
Yu, Jieyu, Hao Zhang, Yan Fang Liu, et al.. (2021). Prediction of Tumor-Infiltrating CD20+ B-Cells in Patients with Pancreatic Ductal Adenocarcinoma Using a Multilayer Perceptron Network Classifier Based on Non-contrast MRI. Academic Radiology. 29(9). e167–e177. 8 indexed citations
10.
Shi, Zhang, Ming Zhao, Xuefeng Zhang, et al.. (2021). Progression of Plaque Burden of Intracranial Atherosclerotic Plaque Predicts Recurrent Stroke/Transient Ischemic Attack: A Pilot Follow‐Up Study Using Higher‐Resolution MRI. Journal of Magnetic Resonance Imaging. 54(2). 560–570. 38 indexed citations
11.
Xia, Tian, Bing Tian, Zhang Shi, et al.. (2020). Assessment of Intracranial Atherosclerotic Plaques Using 3D Black‐Blood MRI: Comparison With 3D Time‐of‐Flight MRA and DSA. Journal of Magnetic Resonance Imaging. 53(2). 469–478. 29 indexed citations
12.
Zhu, Chengcheng, Xinrui Wang, Laura Eisenmenger, et al.. (2019). Surveillance of Unruptured Intracranial Saccular Aneurysms Using Noncontrast 3D-Black-Blood MRI: Comparison of 3D-TOF and Contrast-Enhanced MRA with 3D-DSA. American Journal of Neuroradiology. 40(6). 960–966. 19 indexed citations
13.
Zhu, Chengcheng, Joseph Leach, Bing Tian, et al.. (2019). Evaluation of the distribution and progression of intraluminal thrombus in abdominal aortic aneurysms using high‐resolution MRI. Journal of Magnetic Resonance Imaging. 50(3). 994–1001. 12 indexed citations
14.
Gong, Xiaoliang, Chao Ma, Panpan Yang, et al.. (2019). Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study. Acta Radiologica Open. 8(3). 2553946178–2553946178. 4 indexed citations
15.
Zhu, Chengcheng, Tian Xia, Andrew J. Degnan, et al.. (2018). Clinical Significance of Intraplaque Hemorrhage in Low- and High-Grade Basilar Artery Stenosis on High-Resolution MRI. American Journal of Neuroradiology. 39(7). 1286–1292. 48 indexed citations
16.
Tian, Bing, Qi Liu, Xinrui Wang, et al.. (2018). Chronic intracranial artery stenosis: Comparison of whole-brain arterial spin labeling with CT perfusion. Clinical Imaging. 52. 252–259. 10 indexed citations
17.
Zhu, Chengcheng, Bing Tian, Luguang Chen, et al.. (2017). Accelerated whole brain intracranial vessel wall imaging using black blood fast spin echo with compressed sensing (CS-SPACE). Magnetic Resonance Materials in Physics Biology and Medicine. 31(3). 457–467. 34 indexed citations
18.
Jiang, Yuanliang, Wenjia Peng, Bing Tian, et al.. (2017). Identification and Quantitative Assessment of Different Components of Intracranial Atherosclerotic Plaque by Ex Vivo 3T High-Resolution Multicontrast MRI. American Journal of Neuroradiology. 38(9). 1716–1722. 6 indexed citations
19.
Jiang, Yuanliang, Chengcheng Zhu, Wenjia Peng, et al.. (2016). Ex-vivo imaging and plaque type classification of intracranial atherosclerotic plaque using high resolution MRI. Atherosclerosis. 249. 10–16. 53 indexed citations
20.
Zhu, Chengcheng, Bing Tian, Joseph Leach, et al.. (2016). Non-contrast 3D black blood MRI for abdominal aortic aneurysm surveillance: comparison with CT angiography. European Radiology. 27(5). 1787–1794. 19 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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