Shaohua Tan

1.5k citations
36 papers · 972 indexed · h-index 13
Topics
Neural Networks and Applications (17 papers)Fuzzy Logic and Control Systems (13 papers)Fault Detection and Control Systems (4 papers)
Partner nations
SingaporeBelgiumChina

In The Last Decade

Shaohua Tan

29 papers receiving 911 citations

Peers

Shaohua Tan
Comparison fields: 5 of 103
  • Control and Systems Engineering 520
  • Artificial Intelligence 357
  • Electrical and Electronic Engineering 151
  • Computer Vision and Pattern Recognition 123
  • Mechanical Engineering 85
Replace Chin‐Wang Tao with:
Chin‐Wang Tao Taiwan
S. Hui United States
Jaime Pacheco Mexico
Shi Zhong-ke China
Francesco Dinuzzo Germany
Novak Nedić Serbia
Jesús Alberto Meda-Campaña Mexico
Vojtěch Dvořák Czechia
Lutz Gröll Germany
X.Z. Gao Finland
Shaohua Tan relative to Chin‐Wang Tao Taiwan Chin‐Wang Tao's profile →
Citations per field
00.5×1.5×
Chin‐Wang Tao · 1×
Citations per year

Countries citing papers authored by Shaohua Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shaohua Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohua Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohua Tan. A scholar is included among the top collaborators of Shaohua Tan 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 Shaohua Tan. Shaohua Tan 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
A robust high-order recursive quadratic algorithm for linear-in-the-parameters models
0
5 14
6 30
7 45
8 7
9 1
10 2
11 0
12 19
13 1
14 7
15 1
16 32
17 10
18 0
19 0
20 2

About Shaohua Tan

Shaohua Tan is a scholar working on Artificial Intelligence, Control and Systems Engineering and Statistics and Probability, having authored 36 papers that have together received 972 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Fuzzy Logic and Control Systems (13 papers) and Fault Detection and Control Systems (4 papers). The work is most often cited by research in Control and Systems Engineering (520 citations), Artificial Intelligence (357 citations) and Computer Vision and Pattern Recognition (123 citations). Shaohua Tan has collaborated with scholars based in Singapore, Belgium and China. Frequent co-authors include Peizhuang Wang, Chang-Chieh Hang, Yunhai Tong, Lei Han, Kuiyuan Yang, Xiangtai Li, Ah Chung Tsoi, Joos Vandewalle, Yi Yu and Ping Liang. Their work appears in journals such as Automatica, Pattern Recognition and Fuzzy Sets and Systems.

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