Lei Tong

1.0k citations
20 papers · 700 indexed · 1 hit paper · h-index 9
Topics
Catalytic C–H Functionalization Methods (4 papers)Oxidative Organic Chemistry Reactions (3 papers)Sentiment Analysis and Opinion Mining (2 papers)

In The Last Decade

Lei Tong

17 papers receiving 675 citations

Hit Papers

Deep learning based brain tumor segmentation: a survey2022202620232024202250100150200

Peers

Lei Tong
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 353
  • Neurology 214
  • Artificial Intelligence 172
  • Electrical and Electronic Engineering 83
  • Automotive Engineering 77
Replace Zheheng Jiang with:
Zheheng Jiang United Kingdom
Ming Cheng China
Pooja Asopa India
Sakshi Indolia India
Lingyu Chen China
Katsuhiko Mori Japan
Jiangxiong Fang China
M. Kemal Güllü Türkiye
Tao Lei China
Lei Tong relative to Zheheng Jiang United Kingdom Zheheng Jiang's profile →
Citations per field
00.5×2.7×
Zheheng Jiang · 1×
Citations per year

Countries citing papers authored by Lei Tong

Since Specialization
Citations

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

Fields of papers citing papers by Lei Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Tong. A scholar is included among the top collaborators of Lei 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 Lei Tong. Lei 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 0
3 2
4 3
5 0
6 1
7 10
8 1
9 36
10 9
11 3
12
Deep learning based brain tumor segmentation: a surveybreakdown →
209
13 11
14 67
15 54
16 145
17 139
18
Inverse boosting pruning trees for depression detection on Twitter
8
19 1
20 0

About Lei Tong

Lei Tong is a scholar working on Applied Psychology, Computer Vision and Pattern Recognition and Toxicology, having authored 20 papers that have together received 700 indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (4 papers), Oxidative Organic Chemistry Reactions (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Neurology (214 citations), Computer Vision and Pattern Recognition (353 citations) and Automotive Engineering (77 citations). Lei Tong has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Huiyu Zhou, Zhihua Liu, Zheheng Jiang, Long Chen, Qianni Zhang, Feixiang Zhou, Xiangrong Zhang, James Marco, Xiao Hu and Widanalage Dhammika Widanage. Their work appears in journals such as The Science of The Total Environment, Scientific Reports and Molecules.

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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