Jing Cheng

1.9k total citations
120 papers, 1.1k citations indexed

About

Jing Cheng is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Jing Cheng has authored 120 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Computer Vision and Pattern Recognition and 18 papers in Ocean Engineering. Recurrent topics in Jing Cheng's work include Advanced MRI Techniques and Applications (29 papers), Sparse and Compressive Sensing Techniques (15 papers) and Medical Imaging Techniques and Applications (14 papers). Jing Cheng is often cited by papers focused on Advanced MRI Techniques and Applications (29 papers), Sparse and Compressive Sensing Techniques (15 papers) and Medical Imaging Techniques and Applications (14 papers). Jing Cheng collaborates with scholars based in China, United States and United Kingdom. Jing Cheng's co-authors include Dong Liang, Leslie Ying, Ziwen Ke, Jinghan Zeng, Yanjie Zhu, Zhuo‐Xu Cui, Sen Jia, Jerry Gao, Wenqi Huang and Haifeng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Science of The Total Environment.

In The Last Decade

Jing Cheng

102 papers receiving 1.0k citations

Peers

Jing Cheng
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 403
  • Computer Vision and Pattern Recognition 154
  • Biomedical Engineering 135
  • Computational Mechanics 134
  • Ocean Engineering 114
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Citations per field, relative to Jing Cheng
Jing Cheng · 1×
Citations per year, relative to Jing Cheng
Jing Cheng · 1×

Countries citing papers authored by Jing Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Cheng. A scholar is included among the top collaborators of Jing Cheng 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 Jing Cheng. Jing Cheng 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 8
2 2
3 1
4 1
5 1
6 0
7 2
8 3
9 1
10 1
11 4
12 6
13 3
14 14
15 56
16 28
17
Higher Education and Regional Economic Development
0
18
Improved OTSU method on gray level image segmentation
1
19 2
20
Study of Archaeozoic buried hill reservoir accumulation in Fahaniu structure of Damintun depression,Liaohe Basin
0

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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