Tao Han

2.6k total citations
146 papers, 1.8k citations indexed

About

Tao Han is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tao Han has authored 146 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Computer Networks and Communications, 77 papers in Control and Systems Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tao Han's work include Distributed Control Multi-Agent Systems (91 papers), Neural Networks Stability and Synchronization (58 papers) and Adaptive Control of Nonlinear Systems (56 papers). Tao Han is often cited by papers focused on Distributed Control Multi-Agent Systems (91 papers), Neural Networks Stability and Synchronization (58 papers) and Adaptive Control of Nonlinear Systems (56 papers). Tao Han collaborates with scholars based in China, Bangladesh and Australia. Tao Han's co-authors include Huaicheng Yan, Xisheng Zhan, Jie Wu, Zhi‐Hong Guan, Bo Xiao, Wei Xing Zheng, Ming Chi, Lili Hao, Xianhe Zhang and Mengyao Lu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Construction and Building Materials.

In The Last Decade

Tao Han

126 papers receiving 1.8k citations

Peers

Tao Han
Comparison fields: 5 of 101
  • Computer Networks and Communications 1.3k
  • Control and Systems Engineering 1.0k
  • Aerospace Engineering 167
  • Computer Vision and Pattern Recognition 147
  • Artificial Intelligence 145
Replace Ahmed Rahmani with:
Ahmed Rahmani France
Guoguang Wen China
Qichao Ma China
Yuanqing Wu China
Wenwu Yu China
Xiaohong Nian China
Yao Yu China
Zhimin Han China
Gangfeng Yan China
Boda Ning Australia
Ahmed Rahmani France View profile →
Citations per field, relative to Tao Han
Tao Han · 1×
Citations per year, relative to Tao Han
Tao Han · 1×

Countries citing papers authored by Tao Han

Since Specialization
Citations

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

Fields of papers citing papers by Tao Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Han

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Han. A scholar is included among the top collaborators of Tao Han 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 Tao Han. Tao Han 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 1
4 0
5 3
6 3
7 0
8 1
9 0
10 1
11 2
12 0
13 1
14 1
15 9
16 6
17 8
18 4
19 6
20 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.

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