Junming Jian

923 total citations
22 papers, 624 citations indexed

About

Junming Jian is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Reproductive Medicine. According to data from OpenAlex, Junming Jian has authored 22 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Reproductive Medicine. Recurrent topics in Junming Jian's work include Radiomics and Machine Learning in Medical Imaging (17 papers), Ovarian cancer diagnosis and treatment (5 papers) and Medical Imaging Techniques and Applications (4 papers). Junming Jian is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (17 papers), Ovarian cancer diagnosis and treatment (5 papers) and Medical Imaging Techniques and Applications (4 papers). Junming Jian collaborates with scholars based in China and United States. Junming Jian's co-authors include Xin Gao, Wei Xia, Xingyu Zhao, Rui Zhang, Yuguo Tang, Shiyuan Liu, Wei Wang, Qiong Li, Xiaodong Wu and Yongai Li and has published in prestigious journals such as Medical Physics, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Junming Jian

22 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junming Jian China	13	527	206	147	133	100	22	624
Xingyu Zhao China	14	519 1.0×	251 1.2×	147 1.0×	108 0.8×	145 1.4×	31	670
R. Berenguer Spain	10	470 0.9×	197 1.0×	68 0.5×	208 1.6×	34 0.3×	20	632
Fadila Zerka Netherlands	7	418 0.8×	155 0.8×	151 1.0×	124 0.9×	29 0.3×	14	646
Candice W. Bolan United States	14	272 0.5×	166 0.8×	151 1.0×	34 0.3×	58 0.6×	48	747
Jason Xie Canada	12	405 0.8×	135 0.7×	46 0.3×	108 0.8×	45 0.5×	24	943
Ge-Ge Wu China	9	479 0.9×	93 0.5×	318 2.2×	100 0.8×	73 0.7×	10	710
Jiangdian Song China	18	1.2k 2.2×	696 3.4×	285 1.9×	285 2.1×	52 0.5×	40	1.3k
Wansheng Long China	16	558 1.1×	342 1.7×	116 0.8×	134 1.0×	27 0.3×	50	722
Mireia Crispin‐Ortuzar United Kingdom	10	337 0.6×	109 0.5×	121 0.8×	92 0.7×	9 0.1×	27	471

Countries citing papers authored by Junming Jian

Since Specialization

Citations

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

Fields of papers citing papers by Junming Jian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junming Jian

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

All Works

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20 of 20 papers shown

Huang, Yuling, Mingming Luo, Mingzhi Liu, et al.. (2025). Smart contours: deep learning-driven internal gross tumor volume delineation in non-small cell lung cancer using 4D CT maximum and average intensity projections. Radiation Oncology. 20(1). 59–59. 1 indexed citations

Xia, Wei, Dandan Li, Wenguang He, et al.. (2024). Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI. Radiology Artificial Intelligence. 6(2). e230152–e230152. 6 indexed citations

Shi, Liting, Lin Shen, Junming Jian, et al.. (2023). Contribution of whole slide imaging‐based deep learning in the assessment of intraoperative and postoperative sections in neuropathology. Brain Pathology. 33(4). e13160–e13160. 7 indexed citations

Jian, Junming, et al.. (2023). Deep learning-based segmentation of epithelial ovarian cancer on T2-weighted magnetic resonance images. Quantitative Imaging in Medicine and Surgery. 13(3). 1464–1477. 20 indexed citations

Zhang, Rui, Wei Xia, Yongbin Su, et al.. (2023). Deep Learning-Based Fully Automated Segmentation of Regional Muscle Volume and Spatial Intermuscular Fat Using CT. Academic Radiology. 30(10). 2280–2289. 9 indexed citations

Liu, Zhao, Wei Shi, Wei Xia, et al.. (2022). Preoperative CECT-based Radiomic Signature for Predicting the Response of Transarterial Chemoembolization (TACE) Therapy in Hepatocellular Carcinoma. CardioVascular and Interventional Radiology. 45(10). 1524–1533. 12 indexed citations

Yan, Wei, Jing Zhang, Junming Jian, et al.. (2022). MRI Texture Analysis for Preoperative Prediction of Lymph Node Metastasis in Patients with Nonsquamous Cell Cervical Carcinoma. Academic Radiology. 29(11). 1661–1671. 8 indexed citations

Zhang, Jiayi, et al.. (2022). Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images. Journal of Dermatological Treatment. 33(5). 2571–2577. 6 indexed citations

Jian, Junming, Wei Xia, Rui Zhang, et al.. (2021). Multiple instance convolutional neural network with modality-based attention and contextual multi-instance learning pooling layer for effective differentiation between borderline and malignant epithelial ovarian tumors. Artificial Intelligence in Medicine. 121. 102194–102194. 24 indexed citations

10.

Zhao, Xingyu, Xiang Wang, Wei Xia, et al.. (2021). 3D multi-scale, multi-task, and multi-label deep learning for prediction of lymph node metastasis in T1 lung adenocarcinoma patients' CT images. Computerized Medical Imaging and Graphics. 93. 101987–101987. 15 indexed citations

11.

Zhang, Jiayi, Zhou Liu, Wei Xia, et al.. (2021). CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy. European Radiology. 32(3). 1538–1547. 25 indexed citations

12.

Jian, Junming, Yongai Li, Wei Xia, et al.. (2021). MRI‐Based Multiple Instance Convolutional Neural Network for Increased Accuracy in the Differentiation of Borderline and Malignant Epithelial Ovarian Tumors. Journal of Magnetic Resonance Imaging. 56(1). 173–181. 17 indexed citations

13.

Jian, Junming, Yongai Li, Perry J. Pickhardt, et al.. (2020). MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers. European Radiology. 31(1). 403–410. 61 indexed citations

14.

Zhao, Xingyu, Xiang Wang, Wei Xia, et al.. (2020). A cross-modal 3D deep learning for accurate lymph node metastasis prediction in clinical stage T1 lung adenocarcinoma. Lung Cancer. 145. 10–17. 49 indexed citations

15.

Zhao, Xingyu, Peiyi Xie, Mengmeng Wang, et al.. (2020). Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study. EBioMedicine. 56. 102780–102780. 68 indexed citations

16.

Dong, Yi, Zhou Liu, Wei Xia, et al.. (2020). Preoperative Prediction of Microvascular Invasion in Hepatocellular Carcinoma: Initial Application of a Radiomic Algorithm Based on Grayscale Ultrasound Images. Frontiers in Oncology. 10. 353–353. 49 indexed citations

17.

Zhang, Lei, Wei Xia, Zhiping Yan, et al.. (2020). Deep Learning Predicts Overall Survival of Patients With Unresectable Hepatocellular Carcinoma Treated by Transarterial Chemoembolization Plus Sorafenib. Frontiers in Oncology. 10. 593292–593292. 34 indexed citations

18.

Wang, Xiang, Xingyu Zhao, Qiong Li, et al.. (2019). Can peritumoral radiomics increase the efficiency of the prediction for lymph node metastasis in clinical stage T1 lung adenocarcinoma on CT?. European Radiology. 29(11). 6049–6058. 137 indexed citations

19.

Jian, Junming, Fei Xiong, Wei Xia, et al.. (2018). Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images. Australasian Physical & Engineering Sciences in Medicine. 41(2). 393–401. 51 indexed citations

20.

Jian, Junming, et al.. (2018). Spot Array Optimization of Parallel Confocal Imaging Based on Digital Micromirror Device. Acta Optica Sinica. 38(1). 118001–118001. 3 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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