Ailong Cai

673 citations
62 papers · 477 · h-index 13

Impact in

Papers in

Ailong Cai

59 papers receiving 441 citations

Peers

Ailong Cai
Comparison fields: 5 of 46
  • Radiology, Nuclear Medicine and Imaging 333
  • Biomedical Engineering 316
  • Radiation 53
  • Computer Vision and Pattern Recognition 97
  • Computational Mechanics 37
Replace Ludwig Ritschl with:
Ludwig Ritschl Germany
Yongbo Wang China
I Elbakri Canada
Yong Long China
D. C. BARBER United Kingdom
Guotao Quan China
Chengxiang Wang China
Günter Lauritsch Germany
Junhai Wen China
Ailong Cai relative to Ludwig Ritschl Germany Ludwig Ritschl's profile →
Citations per field
00.5×1.5×2.5×
Ludwig Ritschl · 1×
Citations per year

Countries citing papers authored by Ailong Cai

Since Specialization
Citations

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

Fields of papers citing papers by Ailong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ailong Cai, 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 Ailong Cai Line = papers co-authored together Ailong Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201957
2 201950
3 201429
4 202025
5 201625
6 201924
7 201622
8 202019
9 201515
10 201715
11 202014
12 202113
13 202212
14 201612
15 20168
16 20208
17 20207
18 20156
19 20156
20 20236

About Ailong Cai

Ailong Cai is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition, Computational Mechanics and Radiation, having authored 62 papers that have together received 477 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (46 papers), Advanced X-ray and CT Imaging (37 papers), Advanced MRI Techniques and Applications (15 papers), Sparse and Compressive Sensing Techniques (12 papers), Radiation Dose and Imaging (10 papers), Advanced Image Processing Techniques (10 papers), Image and Signal Denoising Methods (6 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (333 citations), Biomedical Engineering (316 citations), Radiation (53 citations), Computer Vision and Pattern Recognition (97 citations) and Computational Mechanics (37 citations). Ailong Cai has collaborated with scholars based in China, Switzerland and United States. Frequent co-authors include Linyuan Wang, Bin Yan, Wenkun Zhang, Bin Yan, Chao Tang, Guoen Hu, Lei Li, Ziheng Li, Lei Li and Yizhong Wang. Their work appears in journals such as Journal of X-Ray Science and Technology, Medical Physics, IEEE Access, Physics in Medicine and Biology and IEEE Transactions on Nuclear Science.

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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