Qing Ji

2.0k total citations
21 papers, 399 citations indexed

About

Qing Ji is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qing Ji has authored 21 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Genetics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qing Ji's work include Glioma Diagnosis and Treatment (7 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Qing Ji is often cited by papers focused on Glioma Diagnosis and Treatment (7 papers), Advanced MRI Techniques and Applications (7 papers) and Advanced Neuroimaging Techniques and Applications (7 papers). Qing Ji collaborates with scholars based in United States, India and Chile. Qing Ji's co-authors include Wilburn E. Reddick, John O. Glass, Junyu Guo, Zoltán Patay, Robert J. Ogg, Melissa M. Hudson, Kevin R. Krull, Deo Kumar Srivastava, Noah D. Sabin and Wei Liu and has published in prestigious journals such as Journal of Clinical Oncology, Brain and Cancer.

In The Last Decade

Qing Ji

21 papers receiving 396 citations

Peers

Qing Ji
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 197
  • Pulmonary and Respiratory Medicine 129
  • Genetics 108
  • Pediatrics, Perinatology and Child Health 91
  • Public Health, Environmental and Occupational Health 51
Replace Slim Fellah with:
Slim Fellah United States
Xingyu Li United States
Laurence Abernethy United Kingdom
Volodia Dangouloff‐Ros France
Angela Romano Italy
Chae Jung Park South Korea
Dustin K. Ragan United States
Karen Gauvain United States
Panagiotis Selviaridis Greece
Jeff D. Winter Canada
Slim Fellah United States View profile →
Citations per field, relative to Qing Ji
Qing Ji · 1×
Citations per year, relative to Qing Ji
Qing Ji · 1×

Countries citing papers authored by Qing Ji

Since Specialization
Citations

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

Fields of papers citing papers by Qing Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Ji. A scholar is included among the top collaborators of Qing Ji 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 Qing Ji. Qing Ji 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
# Work Indexed citations
1 11
2 2
3 2
4 17
5 2
6 8
7 83
8 18
9 19
10 91
11 49
12
ORIGINAL RESEARCH Quantitative Diffusion-Weighted and Dynamic Susceptibility-Weighted Contrast-Enhanced Perfusion MR Imaging Analysis of T2 Hypointense Lesion Components in Pediatric Diffuse Intrinsic Pontine Glioma
2
13 1
14 16
15 9
16 17
17 14
18 1
19 21
20 12

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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