Xinglin Piao

673 total citations
36 papers, 410 citations indexed

About

Xinglin Piao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Xinglin Piao has authored 36 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 10 papers in Building and Construction. Recurrent topics in Xinglin Piao's work include Traffic Prediction and Management Techniques (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Face and Expression Recognition (5 papers). Xinglin Piao is often cited by papers focused on Traffic Prediction and Management Techniques (10 papers), Anomaly Detection Techniques and Applications (8 papers) and Face and Expression Recognition (5 papers). Xinglin Piao collaborates with scholars based in China, Australia and Hong Kong. Xinglin Piao's co-authors include Yong Zhang, Baocai Yin, Yongli Hu, Yun Wei, Ke Zhang, Yang Wang, Hao Liu, Bo Li, Chengyang Zhang and Baocai Yin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Xinglin Piao

34 papers receiving 406 citations

Peers

Xinglin Piao
Comparison fields: 5 of 68
  • Building and Construction 218
  • Transportation 149
  • Artificial Intelligence 119
  • Computer Vision and Pattern Recognition 79
  • Control and Systems Engineering 52
Replace Guangdong Feng with:
Guangdong Feng China
Zulong Diao China
Boyue Wang China
Qiran Gong China
Hoàng Nguyên Australia
Zhixiang He China
George Rosario Jagadeesh Singapore
Liping Yan China
Aude Hofleitner United States
Xinlu Zong China
Guangdong Feng China View profile →
Citations per field, relative to Xinglin Piao
Xinglin Piao · 1×
Citations per year, relative to Xinglin Piao
Xinglin Piao · 1×

Countries citing papers authored by Xinglin Piao

Since Specialization
Citations

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

Fields of papers citing papers by Xinglin Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinglin Piao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinglin Piao. A scholar is included among the top collaborators of Xinglin Piao 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 Xinglin Piao. Xinglin Piao 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 2
2 1
3 2
4 11
5 9
6 0
7 4
8 1
9 1
10 5
11 10
12 46
13 1
14 121
15 2
16 3
17 2
18 19
19 5
20 2

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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