Junjun Xiong

820 citations
30 papers · 524 · h-index 12

Impact in

Papers in

Junjun Xiong

26 papers receiving 515 citations

Peers

Junjun Xiong
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 163
  • Artificial Intelligence 148
  • Safety, Risk, Reliability and Quality 27
  • Biomedical Engineering 127
  • Transportation 16
Replace André Neubauer with:
André Neubauer Germany
Mohamed A. Abdou Egypt
Qi Dong China
Kamil Říha Czechia
Praveen Sankaran India
Munan Ning China
Zenglin Shi China
Benjamin H. Groh Germany
Xiao Guang Hu China
Junjun Xiong relative to André Neubauer Germany André Neubauer's profile →
Citations per field
00.5×5×10×16×
André Neubauer · 1×
Citations per year

Countries citing papers authored by Junjun Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 2020100
3 202062
4 202235
5 201728
6 202324
7 202522
8 202520
9 202520
10 202114
11 202012
12 202212
13
Sleep apnea detection with Doppler radar based on residual comparison method
201710
14 20259
15 20195
16 20193
17 20253
18 20223
19 20212
20 20162

About Junjun Xiong

Junjun Xiong is a scholar working on Biomedical Engineering, Cancer Research, Computer Vision and Pattern Recognition, Pathology and Forensic Medicine and Surgery, having authored 30 papers that have together received 524 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (9 papers), Spinal Cord Injury Research (3 papers), Wireless Body Area Networks (3 papers), Domain Adaptation and Few-Shot Learning (2 papers), Lightning and Electromagnetic Phenomena (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (163 citations), Artificial Intelligence (148 citations), Safety, Risk, Reliability and Quality (27 citations), Biomedical Engineering (127 citations) and Transportation (16 citations). Junjun Xiong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaohua Zhu, Hong Hong, Xiaojie Jin, Shuicheng Yan, Chunyan Xu, Jiashi Feng, Yunchao Wei, Xiyang Liu, Jie Yang and Tieqiang Wang. Their work appears in journals such as European Spine Journal, Cell Death and Differentiation, IEEE Transactions on Microwave Theory and Techniques, Neuron and IEEE Microwave and Wireless Components Letters.

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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