Ning Lang

1.3k citations
72 papers · 855 · h-index 15

Impact in

Papers in

Ning Lang

66 papers receiving 835 citations

Peers

Ning Lang
Comparison fields: 5 of 92
  • Health Informatics 25
  • Radiology, Nuclear Medicine and Imaging 224
  • Rheumatology 125
  • Surgery 265
  • Orthopedics and Sports Medicine 35
Replace Ray Tanaka with:
Ray Tanaka Japan
Caecilia S. Reiner Switzerland
Lukáš Lambert Czechia
James Thomas Patrick Decourcy Hallinan Singapore
Moon‐Jun Sohn South Korea
Young Hen Lee South Korea
Qingli Zhu China
Fernando Navarro United States
Sung Wook Seo South Korea
Pierre De Marini France
Ning Lang relative to Ray Tanaka Japan Ray Tanaka's profile →
Citations per field
00.5×3.7×
Ray Tanaka · 1×
Citations per year

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-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.

Border = papers with Ning Lang Line = papers co-authored together Ning Lang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201297
3 201988
4 200845
5 201339
6 201537
7 202234
8 202126
9 202126
10 201622
11 202121
12 202318
13 200918
14 202316
15 202216
16 202214
17 201214
18 201514
19 202211
20 200611

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.

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