Wei Tong

739 citations
41 papers · 487 indexed · h-index 13
Topics
Advanced Image and Video Retrieval Techniques (8 papers)Video Analysis and Summarization (7 papers)Advanced Vision and Imaging (6 papers)
Journals
SHILAP Revista de lepidopterologíaProceedings of the IEEEIEEE Transactions on Image Processing
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Wei Tong

36 papers receiving 468 citations

Peers

Wei Tong
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 315
  • Artificial Intelligence 119
  • Aerospace Engineering 43
  • Signal Processing 37
  • Control and Systems Engineering 36
Replace Weizhi Lu with:
Weizhi Lu China
Xin Yuan China
Oksam Chae South Korea
Weicheng Xie China
Huiying Liu China
Wey-Shiuan Hwang United States
Deyun Chen China
Junbin Wang China
Yunlian Sun China
Yanhao Zhang China
Wei Tong relative to Weizhi Lu China Weizhi Lu's profile →
Citations per field
00.5×12.1×
Weizhi Lu · 1×
Citations per year

Countries citing papers authored by Wei Tong

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Tong

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 0
5 7
6 2
7 7
8 2
9 6
10 0
11 0
12 0
13 11
14 16
15 1
16 18
17 3
18 13
19 12
20
Semi-supervised learning by mixed label propagation
27

About Wei Tong

Wei Tong is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence, having authored 41 papers that have together received 487 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Video Analysis and Summarization (7 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (315 citations), Artificial Intelligence (119 citations) and Signal Processing (37 citations). Wei Tong has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Rong Jin, Edmond Q. Wu, Yi Yang, Deyu Meng, Alexander G. Hauptmann, Jungeun Lee, Gaowen Liu, Nicu Sebe, Yan Yan and Anil Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Image Processing.

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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