Ning Lang

1.4k total citations
76 papers, 891 citations indexed

About

Ning Lang is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Ning Lang has authored 76 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Surgery and 19 papers in Biomedical Engineering. Recurrent topics in Ning Lang's work include Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging and Analysis (13 papers) and Management of metastatic bone disease (10 papers). Ning Lang is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), Medical Imaging and Analysis (13 papers) and Management of metastatic bone disease (10 papers). Ning Lang collaborates with scholars based in China, United States and Germany. Ning Lang's co-authors include Huishu Yuan, Min‐Ying Su, Hon J. Yu, Zhiyuan Fang, Juan Wang, Pierre Baldi, Jianfang Liu, Qizheng Wang, Jiahui Zhang and Xiaoying Xing and has published in prestigious journals such as Biomaterials, Scientific Reports and Radiology.

In The Last Decade

Ning Lang

68 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Lang China 15 390 339 285 142 141 76 891
Gerd Schueller Austria 19 255 0.7× 322 0.9× 141 0.5× 166 1.2× 156 1.1× 43 1.0k
Caecilia S. Reiner Switzerland 25 930 2.4× 342 1.0× 290 1.0× 65 0.5× 180 1.3× 60 1.5k
F. Schäfer Germany 14 713 1.8× 284 0.8× 554 1.9× 139 1.0× 270 1.9× 38 1.4k
Sarah Alessi Italy 17 314 0.8× 174 0.5× 152 0.5× 31 0.2× 135 1.0× 42 856
Takashi Okafuji Japan 16 619 1.6× 274 0.8× 64 0.2× 229 1.6× 64 0.5× 38 1.1k
Alexander Mundinger Germany 10 191 0.5× 168 0.5× 54 0.2× 382 2.7× 166 1.2× 50 839
See‐Ying Chiou Taiwan 17 375 1.0× 384 1.1× 127 0.4× 148 1.0× 127 0.9× 42 1.0k
H. Sittek Germany 20 542 1.4× 597 1.8× 464 1.6× 380 2.7× 678 4.8× 67 1.6k
Ralf Ohlinger Germany 17 917 2.4× 345 1.0× 704 2.5× 407 2.9× 50 0.4× 85 1.7k
Mohammadhadi Bagheri United States 19 535 1.4× 181 0.5× 299 1.0× 63 0.4× 68 0.5× 66 1.5k

Countries citing papers authored by Ning Lang

Since Specialization
Citations

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

Fields of papers citing papers by Ning Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Lang. A scholar is included among the top collaborators of Ning Lang 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 Ning Lang. Ning Lang 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.
Lang, Ning, et al.. (2025). WL-GAN: Learning to sample in generative latent space. Information Sciences. 700. 121834–121834. 1 indexed citations
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Qin, Shishang, Yi‐Jen Chen, Kai Liu, et al.. (2024). Predicting the response to neoadjuvant chemoradiation for rectal cancer using nomograms based on MRI tumour regression grade. Cancer/Radiothérapie. 28(4). 341–353. 1 indexed citations
6.
Wang, Qizheng, et al.. (2024). Broken-fat pad sign: a characteristic radiographic finding to distinguish between knee rheumatoid arthritis and osteoarthritis. Insights into Imaging. 15(1). 33–33. 3 indexed citations
7.
Ni, Ming, Shujing Li, Chenyu Jiang, et al.. (2024). A matched case-control study of early cervical spondylotic myelopathy based on diffusion magnetic resonance imaging. Insights into Imaging. 15(1). 25–25. 1 indexed citations
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Wang, Chunjie, Ming Ni, Shuai Tian, et al.. (2023). Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography. BMC Medical Imaging. 23(1). 196–196. 5 indexed citations
10.
Liu, Ke, et al.. (2023). Prediction of Primary Tumor Sites in Spinal Metastases Using a ResNet-50 Convolutional Neural Network Based on MRI. Cancers. 15(11). 2974–2974. 14 indexed citations
11.
Yuan, Yuan, Jianfang Liu, Yuan Li, et al.. (2022). Benign and malignant diagnosis of spinal tumors based on deep learning and weighted fusion framework on MRI. Insights into Imaging. 13(1). 87–87. 31 indexed citations
12.
Ouyang, Hanqiang, Fanyu Meng, Jianfang Liu, et al.. (2022). Evaluation of Deep Learning-Based Automated Detection of Primary Spine Tumors on MRI Using the Turing Test. Frontiers in Oncology. 12. 814667–814667. 15 indexed citations
13.
Li, Yuan, et al.. (2022). Case report: Castleman’s disease involving the renal sinus resembling renal cell carcinoma. Frontiers in Surgery. 9. 1001350–1001350. 1 indexed citations
14.
Liu, Jianfang, et al.. (2021). Prediction of High‐Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods. Journal of Magnetic Resonance Imaging. 54(4). 1303–1311. 27 indexed citations
15.
Liu, Jianfang, Yayuan Geng, Yan Liu, et al.. (2021). Vertebral MRI-based radiomics model to differentiate multiple myeloma from metastases: influence of features number on logistic regression model performance. European Radiology. 32(1). 572–581. 25 indexed citations
16.
Li, Yuan, Yang Zhang, Qizheng Wang, et al.. (2021). Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning. European Radiology. 31(12). 9612–9619. 43 indexed citations
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Lang, Ning & Huishu Yuan. (2015). Computed Tomography and Magnetic Resonance Manifestations of Spinal Pigmented Villonodular Synovitis. Journal of Computer Assisted Tomography. 39(4). 601–606. 8 indexed citations
19.
Lang, Ning, Min‐Ying Su, Hon J. Yu, & Huishu Yuan. (2015). Differentiation of tuberculosis and metastatic cancer in the spine using dynamic contrast-enhanced MRI. European Spine Journal. 24(8). 1729–1737. 33 indexed citations
20.
Schneider, Frank, Ning Lang, Roland Reibke, et al.. (2009). Plesiomonas shigelloides pneumonia. Médecine et Maladies Infectieuses. 39(6). 397–400. 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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