Kang Tong

1.2k total citations · 1 hit paper
20 papers, 876 citations indexed

About

Kang Tong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Kang Tong has authored 20 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Control and Systems Engineering. Recurrent topics in Kang Tong's work include Optimal Power Flow Distribution (4 papers), Smart Grid Energy Management (3 papers) and Muscle activation and electromyography studies (3 papers). Kang Tong is often cited by papers focused on Optimal Power Flow Distribution (4 papers), Smart Grid Energy Management (3 papers) and Muscle activation and electromyography studies (3 papers). Kang Tong collaborates with scholars based in China and Vietnam. Kang Tong's co-authors include Fei Zhou, Yiquan Wu, Jiangang Yao, Yiquan Wu, Thanh Long Duong, Shengjie Yang, Min Jin, Shengjie Yang, Yiquan Wu and Huixian Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and Remote Sensing.

In The Last Decade

Kang Tong

17 papers receiving 855 citations

Hit Papers

Recent advances in small object detection based on deep l... 2020 2026 2022 2024 2020 100 200 300

Peers

Kang Tong
Comparison fields: 5 of 89
  • Computer Vision and Pattern Recognition 349
  • Electrical and Electronic Engineering 243
  • Artificial Intelligence 206
  • Renewable Energy, Sustainability and the Environment 156
  • Aerospace Engineering 110
Replace Mohamed Lamine Mekhalfi with:
Mohamed Lamine Mekhalfi Italy
Giuseppe Acciani Italy
Patrick Sebastian Malaysia
Zaiqing Chen China
Jiangming Kan China
Amit Kumar Mondal India
Yong Sun China
Ting Zhao China
Zhenfei Zhan China
Mohamed Lamine Mekhalfi Italy View profile →
Citations per field, relative to Kang Tong
Kang Tong · 1×
Citations per year, relative to Kang Tong
Kang Tong · 1×

Countries citing papers authored by Kang Tong

Since Specialization
Citations

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

Fields of papers citing papers by Kang Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Tong. A scholar is included among the top collaborators of Kang 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 Kang Tong. Kang 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 0
2 0
3 0
4 18
5 18
6 124
7 2
8 3
9 9
10
Recent advances in small object detection based on deep learning: A review breakdown →
376
11 8
12 1
13 6
14 168
15 4
16 36
17 3
18 2
19 97
20
Study of short-term load forecasting based on multi-kernel Support Vector Machine learning
1

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