Jing Cui

43 papers receiving 598 citations

Peers

Jing Cui
Comparison fields: 5 of 87
  • Radiation 203
  • Otorhinolaryngology 65
  • Radiology, Nuclear Medicine and Imaging 260
  • Computer Vision and Pattern Recognition 142
  • Media Technology 45
Replace Ming Chuang with:
Ming Chuang United States
Wenjian Qin China
Shanhui Sun United States
Aria Pezeshk United States
Yves Trousset France
Yeqin Shao China
Ester Bonmati United Kingdom
Pu Huang China
Phillip Chlap Australia
Jing Cui relative to Ming Chuang United States Ming Chuang's profile →
Citations per field
00.5×3.3×
Ming Chuang · 1×
Citations per year

Countries citing papers authored by Jing Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013102
2 200784
3 200778
4 199970
5 201937
6 200930
7 202319
8 200615
9 200614
10 201414
11 200313
12 201411
13 200511
14 200410
15 202210
16 20199
17 20038
18 20227
19 20087
20 20166

About Jing Cui

Jing Cui is a scholar working on Radiation, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 615 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Radiation Therapy and Dosimetry (9 papers), Plasma and Flow Control in Aerodynamics (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Aerodynamics and Acoustics in Jet Flows (4 papers). The work is most often cited by research in Radiation (203 citations), Otorhinolaryngology (65 citations), Radiology, Nuclear Medicine and Imaging (260 citations), Computer Vision and Pattern Recognition (142 citations) and Media Technology (45 citations). Jing Cui has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ramesh K. Agarwal, Megan E. Daly, James A. Purdy, Allen M. Chen, Mathew Mathai, Stanley Benedict, Berkman Sahiner, Heang‐Ping Chan, Ningning Wang and Lubomir M. Hadjiiski. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Geoscience and Remote Sensing Letters, Journal of Applied Clinical Medical Physics and NeuroImage.

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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