Xiaoan Tang

1.2k citations
59 papers · 819 indexed · 1 hit paper · h-index 15
Topics
Multi-Criteria Decision Making (16 papers)Advanced Image and Video Retrieval Techniques (6 papers)Video Surveillance and Tracking Methods (5 papers)
Partner nations
ChinaCanadaPoland

In The Last Decade

Xiaoan Tang

56 papers receiving 796 citations

Hit Papers

A novel fault diagnosis method based on CNN and LSTM and ...2021202620222024202150100150200

Peers

Xiaoan Tang
Comparison fields: 5 of 88
  • Management Science and Operations Research 257
  • Control and Systems Engineering 223
  • Artificial Intelligence 207
  • Computer Vision and Pattern Recognition 122
  • Computational Theory and Mathematics 113
Replace Éric Lefèvre with:
Éric Lefèvre France
Zhu Zhen-fu China
Shin‐Jye Lee Taiwan
Guojun Wang China
C. Patvardhan India
Shihua Luo China
Chen‐Chia Chuang Taiwan
Minxia Luo China
Honghui Xu United States
Lillian J. Ratliff United States
Xiaoan Tang relative to Éric Lefèvre France Éric Lefèvre's profile →
Citations per field
00.5×
Éric Lefèvre · 1×
Citations per year

Countries citing papers authored by Xiaoan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoan Tang. A scholar is included among the top collaborators of Xiaoan Tang 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 Xiaoan Tang. Xiaoan Tang 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 0
2 1
3 1
4 2
5 66
6 3
7 3
8 2
9 26
10 5
11 18
12 21
13 2
14 19
15 14
16 41
17 2
18 7
19
Research on Spatial Data Sharing of Ocean Environment Based on GML
0
20 1

About Xiaoan Tang

Xiaoan Tang is a scholar working on Management Science and Operations Research, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 819 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (16 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Management Science and Operations Research (257 citations), Control and Systems Engineering (223 citations) and Media Technology (72 citations). Xiaoan Tang has collaborated with scholars based in China, Canada and Poland. Frequent co-authors include Qiang Zhang, Ting Huang, Shanlin Yang, Witold Pedrycz, Shuangyao Zhao, Xiaonong Lu, Dongdong Guan, Zhanglin Peng, Gangyao Kuang and Deliang Xiang. Their work appears in journals such as Nature Communications, European Journal of Operational Research and IEEE Transactions on Geoscience and Remote Sensing.

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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