Qingling Sun

871 citations
15 papers · 648 · 1 hit paper · h-index 8

Impact in

Papers in

Qingling Sun

14 papers receiving 619 citations

Qingling Sun's Hit Papers

Deep learning for image-based cancer detection and diagnosis − A survey 2018 · 362 citations
3620+2+5Years since publication100200300

Peers

Qingling Sun
Comparison fields: 5 of 86
  • Media Technology 136
  • Computer Vision and Pattern Recognition 315
  • Radiology, Nuclear Medicine and Imaging 193
  • Artificial Intelligence 237
  • Neurology 55
Replace Dagan Feng with:
Dagan Feng Australia
Xiabi Liu China
Abdul Majid Pakistan
Alireza Norouzi Malaysia
Neslihan Bayramoğlu Finland
Julien Abinahed Qatar
Yicheng Wu China
Stephen Chang Singapore
Karamjeet Singh India
Fahad Shamshad Pakistan
Qingling Sun relative to Dagan Feng Australia Dagan Feng's profile →
Citations per field
00.5×1.5×
Dagan Feng · 1×
Citations per year

Countries citing papers authored by Qingling Sun

Since Specialization
Citations

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

Fields of papers citing papers by Qingling Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Qingling Sun, 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 Qingling Sun Line = papers co-authored together Qingling Sun links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Deep learning for image-based cancer detection and diagnosis − A survey
Hit paper breakdown →
2018362
2 200998
3 200473
4 201033
5 200420
6 200720
7 200717
8 20257
9 20086
10 20235
11 20073
12 20082
13 20201
14 20251
15 20240

About Qingling Sun

Qingling Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Artificial Intelligence and Surgery, having authored 15 papers that have together received 648 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (7 papers), Image Enhancement Techniques (4 papers), Remote-Sensing Image Classification (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Electric Motor Design and Analysis (1 paper). The work is most often cited by research in Media Technology (136 citations), Computer Vision and Pattern Recognition (315 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Artificial Intelligence (237 citations) and Neurology (55 citations). Qingling Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinshan Tang, Zilong Hu, Ling Zhang, Kai Zhang, Ziming Wang, Xiaoming Liu, John A. Hossack, Scott T. Acton, Shengwen Guo and Youping Deng. Their work appears in journals such as Computerized Medical Imaging and Graphics, IEEE Geoscience and Remote Sensing Letters, IEEE Access, Pattern Recognition and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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.

Explore authors with similar magnitude of impact