Yulei Jiang

4.7k citations
106 papers · 3.4k · h-index 30

Impact in

Papers in

Yulei Jiang

104 papers receiving 3.3k citations

Peers

Yulei Jiang
Comparison fields: 5 of 153
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Pulmonary and Respiratory Medicine 1.1k
  • Artificial Intelligence 1.1k
  • Health Informatics 39
  • Computer Vision and Pattern Recognition 403
Replace Robert A. Schmidt with:
Robert A. Schmidt United States
Christina Hulsbergen‐van de Kaa Netherlands
Matthew T. Freedman United States
John Tomaszewski United States
Michael Pringle United Kingdom
Ulrich Bick Germany
Jamshid Dehmeshki United Kingdom
William Hsu United States
Olivier Gevaert United States
Changhong Liang China
Yulei Jiang relative to Robert A. Schmidt United States Robert A. Schmidt's profile →
Citations per field
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Robert A. Schmidt · 1×
Citations per year

Countries citing papers authored by Yulei Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yulei Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010245
2 1999236
3 2005235
4 2013215
5 1996203
6 1999162
7 2014156
8 2009131
9 2001108
10 2016100
11 202099
12 201378
13 201673
14 201468
15 201566
16 201449
17 201647
18 201845
19 201343
20 199543

About Yulei Jiang

Yulei Jiang is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology, having authored 106 papers that have together received 3.4k indexed citations. Recurring topics across this work include AI in cancer detection (32 papers), Radiomics and Machine Learning in Medical Imaging (19 papers), Prostate Cancer Diagnosis and Treatment (15 papers), Hydraulic and Pneumatic Systems (8 papers), Digital Radiography and Breast Imaging (7 papers), MRI in cancer diagnosis (6 papers), Computational Drug Discovery Methods (6 papers) and Lung Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.2k citations), Pulmonary and Respiratory Medicine (1.1k citations), Artificial Intelligence (1.1k citations), Health Informatics (39 citations) and Computer Vision and Pattern Recognition (403 citations). Yulei Jiang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert M. Nishikawa, Charles E. Metz, Aytekin Oto, Tatjana Antic, Maryellen L. Giger, Yahui Peng, Liyang Wei, Yongyi Yang, Gregory S. Karczmar and Alexandra Edwards. Their work appears in journals such as Academic Radiology, Medical Physics, Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

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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