Junyun Li

41 papers receiving 957 citations

Junyun Li's Hit Papers

Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma 2019 · 269 citations
2690+2+4Years since publication50100150200250

Peers

Junyun Li
Comparison fields: 5 of 101
  • Otorhinolaryngology 93
  • Health Informatics 27
  • Earth-Surface Processes 91
  • Atmospheric Science 192
  • Radiation 71
Replace Wen Juan Yu with:
Wen Juan Yu China
Eric Allen Brown United States
Vincent Meyer France
A. Arnold Germany
Yutaka Shiraishi Japan
David Haberthür Switzerland
Daniele Panetta Italy
Michael B. Katz United States
T. E. Smith Canada
Junyun Li relative to Wen Juan Yu China Wen Juan Yu's profile →
Citations per field
00.5×5×10×15×20×22.8×
Wen Juan Yu · 1×
Citations per year

Countries citing papers authored by Junyun Li

Since Specialization
Citations

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

Fields of papers citing papers by Junyun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
Hit paper breakdown →
2019269
2 202092
3 200092
4 202244
5 202143
6 199538
7 201535
8 202135
9 201734
10 202334
11 202129
12 202125
13 202123
14 202021
15 201719
16 202116
17 201314
18 201713
19 201912
20 201910

About Junyun Li

Junyun Li is a scholar working on Atmospheric Science, Obstetrics and Gynecology, Earth-Surface Processes, Anthropology and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 975 indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (13 papers), Pleistocene-Era Hominins and Archaeology (8 papers), Atomic and Subatomic Physics Research (7 papers), Endometrial and Cervical Cancer Treatments (7 papers), Karst Systems and Hydrogeology (5 papers), Geological formations and processes (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Otorhinolaryngology (93 citations), Health Informatics (27 citations), Earth-Surface Processes (91 citations), Atmospheric Science (192 citations) and Radiation (71 citations). Junyun Li has collaborated with scholars based in China, Taiwan and Germany. Frequent co-authors include Zefei Peng, Ting-Yong Li, Chuan‐Chou Shen, Lan Liu, Hai Cheng, Ying Hao Sun, Richard Lawrence Edwards, Li Lin, Pheng‐Ann Heng and Melvin L.K. Chua. Their work appears in journals such as Journal of Low Temperature Physics, Quaternary Science Reviews, Physica B Condensed Matter, Palaeogeography Palaeoclimatology Palaeoecology and Scientific Reports.

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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