Xing Di

426 citations
23 papers · 244 · h-index 9

Impact in

    • Multimodal Machine Learning Applications
    • Human Pose and Action Recognition
    • Video Analysis and Summarization
    • Face recognition and analysis
    • Face and Expression Recognition
    • Advanced Image and Video Retrieval Techniques
    • Generative Adversarial Networks and Image Synthesis

Papers in

    • Human Pose and Action Recognition 5
    • Multimodal Machine Learning Applications 5
    • Face recognition and analysis 4
    • Video Surveillance and Tracking Methods 3
    • Generative Adversarial Networks and Image Synthesis 2
    • Video Analysis and Summarization 2
    • Adversarial Robustness in Machine Learning 2

Xing Di

21 papers receiving 240 citations

Peers

Xing Di
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 181
  • Signal Processing 33
  • Artificial Intelligence 86
  • Cultural Studies 8
  • Media Technology 5
Replace Jay Zhangjie Wu with:
Jay Zhangjie Wu Singapore
Dmytro Okhonko United States
Ziqi Huang Singapore
Yujie Zhong China
Andreas Leibetseder Austria
Michal Geyer Israel
Sadegh Mohammadi Iran
Dian Gong United States
Rui-Wei Zhao China
Xing Di relative to Jay Zhangjie Wu Singapore Jay Zhangjie Wu's profile →
Citations per field
00.5×3.8×
Jay Zhangjie Wu · 1×
Citations per year

Countries citing papers authored by Xing Di

Since Specialization
Citations

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

Fields of papers citing papers by Xing Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202246
2 202137
3 202236
4 202025
5 202116
6 201615
7 202113
8 202312
9 202211
10 20227
11 20234
12 20174
13 20244
14 20223
15 20252
16 20212
17 20242
18 20162
19 20131
20 20231

About Xing Di

Xing Di is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiation, Pulmonary and Respiratory Medicine and Signal Processing, having authored 23 papers that have together received 244 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (5 papers), Face recognition and analysis (4 papers), Advanced Radiotherapy Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (181 citations), Signal Processing (33 citations), Artificial Intelligence (86 citations), Cultural Studies (8 citations) and Media Technology (5 citations). Xing Di has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Vishal M. Patel, Pan Zhou, Zichuan Xu, Xiaoye Qu, Yu Cheng, Shuowen Hu, Kai Zou, Yinzhen Wang, Xueluan Gong and Yanjiao Chen. Their work appears in journals such as Medical Physics, IEEE Network, CAAI Transactions on Intelligence Technology, Journal of Applied Clinical Medical Physics and Journal of Bioresources and Bioproducts.

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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