Lei Tong

1.0k total citations · 1 hit paper
20 papers, 700 citations indexed

About

Lei Tong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Organic Chemistry. According to data from OpenAlex, Lei Tong has authored 20 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Organic Chemistry. Recurrent topics in Lei Tong's work include Catalytic C–H Functionalization Methods (4 papers), Oxidative Organic Chemistry Reactions (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Lei Tong is often cited by papers focused on Catalytic C–H Functionalization Methods (4 papers), Oxidative Organic Chemistry Reactions (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). Lei Tong collaborates with scholars based in China, United Kingdom and Singapore. Lei Tong's 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 and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Molecules.

In The Last Decade

Lei Tong

17 papers receiving 675 citations

Hit Papers

Deep learning based brain tumor segmentation: a survey 2022 2026 2023 2024 2022 50 100 150 200

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
Lingyu Chen China
M. Kemal Güllü Türkiye
Sakshi Indolia India
Xinyu Zhou China
Ming Cheng China
Yue Gao China
Evandro Ottoni Teatini Salles Brazil
Pooja Asopa India
Rakesh Joshi India
Zheheng Jiang United Kingdom View profile →
Citations per field, relative to Lei Tong
Lei Tong · 1×
Citations per year, relative to Lei Tong
Lei Tong · 1×

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
# Work Indexed 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 survey breakdown →
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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026