Qingling Sun

866 citations
16 papers · 646 · 1 hit paper · h-index 7

Impact in

Papers in

Qingling Sun

15 papers receiving 617 citations

Qingling Sun's Hit Papers

Deep learning for image-based cancer detection and diagnosis − A survey 2018 · 360 citations
3600+2+5Years since publication100200300

Peers

Qingling Sun
Comparison fields: 5 of 92
  • Media Technology 144
  • Computer Vision and Pattern Recognition 324
  • Radiology, Nuclear Medicine and Imaging 213
  • Health Informatics 11
  • Artificial Intelligence 248
Replace Yicheng Wu with:
Yicheng Wu China
Abdul Majid Pakistan
Xiabi Liu China
I. El-Naqa United States
Alireza Norouzi Malaysia
Hojjat Seyed Mousavi United States
Haoyuan Chen China
Jianan Chen China
Yixiong Liang China
Fahad Shamshad Pakistan
Qingling Sun relative to Yicheng Wu China Yicheng Wu's profile →
Citations per field
00.5×10×12.5×
Yicheng Wu · 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 25 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

16 of 16 papers shown
#Work
1
Deep learning for image-based cancer detection and diagnosis − A survey
Hit paper breakdown →
2018360
2 200998
3 200473
4 201033
5 200420
6 200720
7 200717
8 20256
9 20086
10 20235
11 20252
12 20082
13 20072
14 20201
15 20251
16 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 16 papers that have together received 646 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), Advanced biosensing and bioanalysis techniques (1 paper) and Medical Imaging and Analysis (1 paper). The work is most often cited by research in Media Technology (144 citations), Computer Vision and Pattern Recognition (324 citations), Radiology, Nuclear Medicine and Imaging (213 citations), Health Informatics (11 citations) and Artificial Intelligence (248 citations). Qingling Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinshan Tang, Ziming Wang, Kai Zhang, Zilong Hu, Ling Zhang, Xiaoming Liu, John A. Hossack, Scott T. Acton, Youping Deng and Shengwen Guo. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, BMC Genomics, IEEE Geoscience and Remote Sensing Letters, The Annals of Thoracic Surgery and Sensors and Actuators B Chemical.

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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