Tiange Xiang

683 citations
8 papers · 283 indexed · 1 hit paper · h-index 5
Topics
COVID-19 diagnosis using AI (2 papers)Human Pose and Action Recognition (2 papers)Anomaly Detection Techniques and Applications (2 papers)

In The Last Decade

Tiange Xiang

6 papers receiving 278 citations

Hit Papers

Walk in the Cloud: Learning Curves for Point Clouds Shape...2021202620222024202150100150

Peers

Tiange Xiang
Comparison fields: 5 of 46
  • Computational Mechanics 153
  • Geology 97
  • Computer Vision and Pattern Recognition 93
  • Artificial Intelligence 61
  • Environmental Engineering 60
Replace Yachao Zhang with:
Yachao Zhang China
Suryansh Kumar United States
Varsha Hedau United States
Pedro Garcia Freitas Brazil
Matheus Gadelha United States
Octavian Soldea Israel
Adrien Poulenard United States
Yongwei Miao China
G. Guy United States
Noha Radwan United States
Tiange Xiang relative to Yachao Zhang China Yachao Zhang's profile →
Citations per field
00.5×1.5×
Yachao Zhang · 1×
Citations per year

Countries citing papers authored by Tiange Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Tiange Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiange Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiange Xiang. A scholar is included among the top collaborators of Tiange Xiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiange Xiang. Tiange Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 4
5 33
6 54
7 13
8
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysisbreakdown →
177

About Tiange Xiang

Tiange Xiang is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 283 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Human Pose and Action Recognition (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Geology (97 citations), Computer Graphics and Computer-Aided Design (56 citations) and Computational Mechanics (153 citations). Tiange Xiang has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Weidong Cai, Chaoyi Zhang, Yang Song, Jianhui Yu, Juan Zhou, Yixiao Zhang, Alan Yuille, Zongwei Zhou, Yongyi Lu and Heng Huang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Medical Image Analysis and npj Digital Medicine.

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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