Xiaoying Pan

1.1k citations
85 papers · 716 · 1 hit paper · h-index 14

Impact in

Papers in

Xiaoying Pan

74 papers receiving 698 citations

Xiaoying Pan's Hit Papers

Deep learning for depression recognition with audiovisual cues: A review 2021 · 163 citations
1630+1+3Years since publication50100150

Peers

Xiaoying Pan
Comparison fields: 5 of 141
  • Health Informatics 17
  • Experimental and Cognitive Psychology 118
  • Applied Psychology 36
  • Artificial Intelligence 161
  • Computer Vision and Pattern Recognition 86
Replace Hongyu Wang with:
Hongyu Wang China
Muhammad Arifur Rahman Bangladesh
Betül Ay Türkiye
Vajira Thambawita Norway
Bingtao Zhang China
Siyu Liu China
Tânia Pereira Portugal
Wanqing Xie China
Abdullah Y. Muaad India
Sara Colantonio Italy
Xiaoying Pan relative to Hongyu Wang China Hongyu Wang's profile →
Citations per field
00.5×1.6×
Hongyu Wang · 1×
Citations per year

Countries citing papers authored by Xiaoying Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoying Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for depression recognition with audiovisual cues: A review
Hit paper breakdown →
2021163
2 202278
3 202033
4 201524
5 202022
6 202222
7 202419
8 201016
9 200415
10 202315
11 202415
12 202214
13 202314
14 202013
15 202212
16 201012
17 201512
18 201510
19 20239
20 20229

About Xiaoying Pan

Xiaoying Pan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Molecular Biology, having authored 85 papers that have together received 716 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Image Segmentation Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Artificial Immune Systems Applications (5 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Health Informatics (17 citations), Experimental and Cognitive Psychology (118 citations), Applied Psychology (36 citations), Artificial Intelligence (161 citations) and Computer Vision and Pattern Recognition (86 citations). Xiaoying Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongyu Wang, Licheng Jiao, Zhenrui Huang, Songtao Ding, Zhongmin Wang, Pekka Marttinen, Jiewei Jiang, Wenjuan Zhang, Mingyue Niu and Prayag Tiwari. Their work appears in journals such as Biomedical Signal Processing and Control, Physics in Medicine and Biology, International Journal of Computer Assisted Radiology and Surgery, Frontiers in Pharmacology and IEEE Access.

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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