Jun Lian

2.9k citations
69 papers · 2.3k · 2 hit papers · h-index 21

Impact in

Papers in

Jun Lian

66 papers receiving 2.3k citations

Jun Lian's Hit Papers

Medical Image Synthesis with Deep Convolutional Adversarial Networks 2018 · 491 citations
4910+3+6Years since publication100200300400500

Peers

Jun Lian
Comparison fields: 5 of 84
  • Health Informatics 175
  • Radiation 509
  • Computer Vision and Pattern Recognition 1.3k
  • Radiology, Nuclear Medicine and Imaging 561
  • Neurology 56
Replace Xuejun Gu with:
Xuejun Gu United States
Maria Francesca Spadea Italy
Tobias Lasser Germany
Annette Haworth Australia
Dan Ruan United States
Weiguo Lu United States
Jue Jiang United States
Vincent Andrearczyk Switzerland
Zhanli Hu China
Xiaokun Liang China
Jun Lian relative to Xuejun Gu United States Xuejun Gu's profile →
Citations per field
00.5×1.5×2.1×
Xuejun Gu · 1×
Citations per year

Countries citing papers authored by Jun Lian

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Medical Image Synthesis with Context-Aware Generative Adversarial Networks
Hit paper breakdown →
2017533
2
Medical Image Synthesis with Deep Convolutional Adversarial Networks
Hit paper breakdown →
2018491
3 2015227
4 2019184
5 201387
6 201666
7 200465
8 201264
9 201855
10 201234
11 200628
12 201325
13 202025
14 202024
15 202124
16 201022
17 201722
18 202022
19 202222
20 201521

About Jun Lian

Jun Lian is a scholar working on Radiation, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cancer Research and Neurology, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (39 papers), Medical Image Segmentation Techniques (23 papers), Medical Imaging Techniques and Applications (7 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Breast Cancer Treatment Studies (4 papers), Advanced Image Processing Techniques (3 papers), Advanced MRI Techniques and Applications (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Health Informatics (175 citations), Radiation (509 citations), Computer Vision and Pattern Recognition (1.3k citations), Radiology, Nuclear Medicine and Imaging (561 citations) and Neurology (56 citations). Jun Lian has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Dinggang G. Shen, Dong Nie, Qian Wang, Caroline Petitjean, Su Ruan, Roger Trullo, Li Wang, Yaozong Gao, Jiayin Kang and Pei Zhang. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, Annals of Surgical Oncology and IEEE Transactions on Biomedical Engineering.

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.

Explore authors with similar magnitude of impact