Ning Lang
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
Papers in
- Surgery 17
- Management of metastatic bone disease 8
- Cervical and Thoracic Myelopathy 5
-
- Radiomics and Machine Learning in Medical Imaging 9
- Co-authors
- Huishu Yuan (28 shared papers)Min‐Ying Su (10 shared papers)Hon J. Yu (5 shared papers)Zhiyuan Fang (1 shared paper)Pierre Baldi (1 shared paper)Juan Wang (1 shared paper)Xiaoying Xing (11 shared papers)Qizheng Wang (18 shared papers)
- Journals
- European Radiology (6 papers)Insights into Imaging (5 papers)Frontiers in Oncology (4 papers)European Journal of Radiology (3 papers)Journal of Magnetic Resonance Imaging (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ning Lang
66 papers receiving 835 citations
Peers
Comparison fields: 5 of 92
- Health Informatics 25
- Radiology, Nuclear Medicine and Imaging 224
- Rheumatology 125
- Surgery 265
- Orthopedics and Sports Medicine 35
Countries citing papers authored by Ning Lang
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
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-authors
The 25 scholars most cited alongside Ning Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 108 | |
| 2 | 2012 | 97 | |
| 3 | 2019 | 88 | |
| 4 | 2008 | 45 | |
| 5 | 2013 | 39 | |
| 6 | 2015 | 37 | |
| 7 | 2022 | 34 | |
| 8 | 2021 | 26 | |
| 9 | 2021 | 26 | |
| 10 | 2016 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2023 | 18 | |
| 13 | 2009 | 18 | |
| 14 | 2023 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2015 | 14 | |
| 19 | 2022 | 11 | |
| 20 | 2006 | 11 |
About Ning Lang
Ning Lang is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Rheumatology and Pulmonary and Respiratory Medicine, having authored 72 papers that have together received 855 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), Management of metastatic bone disease (8 papers), Advanced X-ray and CT Imaging (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Medical Imaging and Analysis (6 papers), Cervical and Thoracic Myelopathy (5 papers), Sarcoma Diagnosis and Treatment (4 papers) and Colorectal Cancer Surgical Treatments (3 papers). The work is most often cited by research in Health Informatics (25 citations), Radiology, Nuclear Medicine and Imaging (224 citations), Rheumatology (125 citations), Surgery (265 citations) and Orthopedics and Sports Medicine (35 citations). Ning Lang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huishu Yuan, Min‐Ying Su, Hon J. Yu, Zhiyuan Fang, Pierre Baldi, Juan Wang, Xiaoying Xing, Qizheng Wang, Jianfang Liu and Shan Shi. Their work appears in journals such as European Radiology, Insights into Imaging, Frontiers in Oncology, European Journal of Radiology and Journal of Magnetic Resonance Imaging.
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.