Cai Chang

2.7k citations
100 papers · 1.7k indexed · h-index 22
Topics
Radiomics and Machine Learning in Medical Imaging (25 papers)Breast Cancer Treatment Studies (20 papers)AI in cancer detection (19 papers)
Journals
Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Cai Chang

95 papers receiving 1.6k citations

Peers

Cai Chang
Comparison fields: 5 of 120
  • Radiology, Nuclear Medicine and Imaging 871
  • Biomedical Engineering 428
  • Endocrinology, Diabetes and Metabolism 351
  • Artificial Intelligence 267
  • Molecular Biology 238
Replace Min Xu with:
Min Xu China
Lin Li China
Rong Tian China
Zhuoli Zhang United States
Mingbo Zhang China
Di Chen China
Jianwei Xu China
Ping‐Hong Zhou China
Lianlian Wu China
Cai Chang relative to Min Xu China Min Xu's profile →
Citations per field
00.5×9.2×
Min Xu · 1×
Citations per year

Countries citing papers authored by Cai Chang

Since Specialization
Citations

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

Fields of papers citing papers by Cai Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cai Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Cai Chang. A scholar is included among the top collaborators of Cai Chang 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 Cai Chang. Cai Chang 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
#WorkIndexed citations
1 2
2 34
3 3
4 3
5 50
6 21
7 3
8 1
9 10
10
Prediction of Pathologic Complete Response by Ultrasonography and Magnetic Resonance Imaging After Neoadjuvant Chemotherapy in Patients with Breast Cancer
2
11 5
12 200
13 11
14 2
15 7
16
Ultrasound findings for papillary thyroid carcinoma in the isthmus: A case-control study
2
17 1
18
Three-dimensional power Doppler imaging diagnosis of endometrial polyps
1
19
[Fetal echocardiography in diagnosing congenital heart disease prenatally: a multicenter clinical study].
5
20
Design and Simulation Analysis of Scattering Netted Dots on Edge-lighting Flat Light Guide Plate
1

About Cai Chang

Cai Chang is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Cancer Research, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), Breast Cancer Treatment Studies (20 papers) and AI in cancer detection (19 papers). The work is most often cited by research in Health Informatics (54 citations), Radiology, Nuclear Medicine and Imaging (871 citations) and Endocrinology, Diabetes and Metabolism (351 citations). Cai Chang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shichong Zhou, Yuanyuan Wang, Jinhua Yu, Jin Zhou, Yi Guo, Tongtong Liu, Jiawei Li, Jun Han, Min Liu and Yunxia Huang. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

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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