Xinhan Di

978 citations
7 papers · 390 indexed · 1 hit paper · h-index 3
Topics
Human Pose and Action Recognition (2 papers)Hand Gesture Recognition Systems (2 papers)Machine Learning in Materials Science (1 paper)
Journals
IEEE Transactions on Industrial InformaticsArXiv.orgProceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Xinhan Di

5 papers receiving 376 citations

Hit Papers

PointCNN: convolution on Χ -transformed points20182026202020232018100200300

Peers

Xinhan Di
Comparison fields: 5 of 47
  • Computational Mechanics 249
  • Geology 201
  • Computer Vision and Pattern Recognition 176
  • Environmental Engineering 127
  • Computer Graphics and Computer-Aided Design 84
Replace Truc Le with:
Truc Le United States
Chaoda Zheng China
Ji Hou China
Le Hui China
Yizhak Ben-Shabat Israel
Cho-Ying Wu United States
Zerong Xi United States
Thang Vu South Korea
Lubin Fan China
Chuhang Zou United States
Xinhan Di relative to Truc Le United States Truc Le's profile →
Citations per field
00.5×2.6×
Truc Le · 1×
Citations per year

Countries citing papers authored by Xinhan Di

Since Specialization
Citations

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

Fields of papers citing papers by Xinhan Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhan Di

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhan Di. A scholar is included among the top collaborators of Xinhan Di 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 Xinhan Di. Xinhan Di is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 0
5 5
6 11
7
PointCNN: convolution on Χ -transformed pointsbreakdown →
372

About Xinhan Di

Xinhan Di is a scholar working on Human-Computer Interaction, Museology and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 390 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Hand Gesture Recognition Systems (2 papers) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Geology (201 citations), Computer Graphics and Computer-Aided Design (84 citations) and Computational Mechanics (249 citations). Xinhan Di has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Rui Bu, Mingchao Sun, Baoquan Chen, Yangyan Li, Wei Wu, P. L. Yu, Xinrong Chen, Zhifeng Xie, Ying Cao and Hao Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, ArXiv.org and Proceedings of the AAAI Conference on Artificial Intelligence.

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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