Chang Xiao

695 citations
47 papers · 382 indexed · h-index 10

Chang Xiao

44 papers receiving 366 citations

Peers

Chang Xiao
Comparison fields: 5 of 77
  • Computer Graphics and Computer-Aided Design 31
  • Radiation 65
  • Health Informatics 10
  • Computer Vision and Pattern Recognition 140
  • Human-Computer Interaction 29
Replace Ken’ichi Morooka with:
Ken’ichi Morooka Japan
Patricia Ladret France
Marina Nicolas France
Daniel Kondermann Germany
Xuenan Cui South Korea
Ljiljana Platiša Belgium
Xinwei Xue China
Christian Tietjen Germany
Chenguang Ma China
Chang Xiao relative to Ken’ichi Morooka Japan Ken’ichi Morooka's profile →
Citations per field
00.5×6.5×
Ken’ichi Morooka · 1×
Citations per year

Countries citing papers authored by Chang Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Chang Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20251
4 20251
5 20240
6 20241
7 20213
8 20216
9 20191
10
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
20195
11
Resisting Adversarial Attacks by k-Winners-Take-All.
20193
12 201914
13 20194
14
BourGAN: Generative Networks with Metric Embeddings
20189
15 2018108
16 20174
17 20140
18 20132
19 20123
20 20091

About Chang Xiao

Chang Xiao is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 47 papers that have together received 382 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Interactive and Immersive Displays (5 papers), Neurobiology and Insect Physiology Research (4 papers), Augmented Reality Applications (4 papers), Cell Image Analysis Techniques (4 papers), Tactile and Sensory Interactions (4 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (31 citations), Radiation (65 citations) and Health Informatics (10 citations). Chang Xiao has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Changxi Zheng, Rundi Wu, Cheng Zhang, Deshan Yang, H. Harold Li, Thomas R. Mazur, Yabo Fu, Yonggang Lu, Michael Roach and Lauren E. Henke. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, ACM Transactions on Graphics, Journal of Digital Imaging and NeuroImage.

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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