Xi Ouyang

59 papers receiving 2.1k citations

Hit Papers

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory 2017 · 382 citations
3822017202620202023100200300

Peers

Xi Ouyang
Comparison fields: 5 of 168
  • Health Informatics 113
  • Radiological and Ultrasound Technology 265
  • Artificial Intelligence 582
  • Radiology, Nuclear Medicine and Imaging 374
  • Computer Vision and Pattern Recognition 293
Replace Xuewei Li with:
Xuewei Li China
Mohammed Hossny Australia
Vitoantonio Bevilacqua Italy
Hui Xiong China
Md Ekrim Hossin Malaysia
Dimitris Koutsouris Greece
Zhe Sun China
Jun Xiao China
Yu Cao United States
Marcin Grzegorzek Germany
Xi Ouyang relative to Xuewei Li China Xuewei Li's profile →
Citations per field
00.5×10×20×30×42×
Xuewei Li · 1×
Citations per year

Countries citing papers authored by Xi Ouyang

Since Specialization
Citations

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

Fields of papers citing papers by Xi Ouyang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
Hit paper breakdown →
2017382
2 2020264
3 2018155
4 2015150
5 2011106
6 2006103
7 200883
8 201882
9 202082
10 202059
11 201759
12 200957
13 202457
14 201953
15 201952
16 201751
17 201830
18 202223
19 202222
20 201521

About Xi Ouyang

Xi Ouyang is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (8 papers), RNA modifications and cancer (5 papers), Sexual function and dysfunction studies (5 papers), AI in cancer detection (5 papers), COVID-19 diagnosis using AI (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Video Surveillance and Tracking Methods (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Health Informatics (113 citations), Radiological and Ultrasound Technology (265 citations), Artificial Intelligence (582 citations), Radiology, Nuclear Medicine and Imaging (374 citations) and Computer Vision and Pattern Recognition (293 citations). Xi Ouyang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter E.D. Love, Weili Fang, Hanbin Luo, Botao Zhong, Lieyun Ding, Pan Zhou, Qian Wang, Lijun Liu, Junxia Chen and Dinggang Shen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lupus, Neuroscience and Journal of Material Science and Technology.

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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