Ying Xie

1.7k citations
81 papers · 977 indexed · h-index 15
Topics
Cloud Computing and Resource Management (8 papers)Anomaly Detection Techniques and Applications (8 papers)Face and Expression Recognition (6 papers)

In The Last Decade

Ying Xie

73 papers receiving 910 citations

Peers

Ying Xie
Comparison fields: 5 of 106
  • Information Systems 317
  • Computer Networks and Communications 285
  • Artificial Intelligence 268
  • Human-Computer Interaction 201
  • Computer Vision and Pattern Recognition 157
Replace Nazeeruddin Mohammad with:
Nazeeruddin Mohammad Saudi Arabia
Haiyang Yu China
Christopher Bogart United States
Maaruf Ali United Kingdom
B. Cristina Pelayo G‐Bustelo Spain
Hongji Yang United Kingdom
Yeh-Cheng Chen United States
Antonio Cicchetti Sweden
Awais Yasin Pakistan
Pradeep Kumar Bhatia India
Ying Xie relative to Nazeeruddin Mohammad Saudi Arabia Nazeeruddin Mohammad's profile →
Citations per field
00.5×2.6×
Nazeeruddin Mohammad · 1×
Citations per year

Countries citing papers authored by Ying Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xie. A scholar is included among the top collaborators of Ying Xie 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 Ying Xie. Ying Xie 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 2
2 0
3 0
4 9
5 2
6 3
7 15
8 3
9 2
10 10
11 2
12 2
13 2
14 13
15 6
16
Uncorrelated Lasso
13
17 10
18 1
19 20
20
Design of Multi-channel Temperature Detecting System
1

About Ying Xie

Ying Xie is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 81 papers that have together received 977 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Human-Computer Interaction (201 citations), Information Systems (317 citations) and Computer Networks and Communications (285 citations). Ying Xie has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongbin Xu, Jing He, Yun Yang, Yongliang Cheng, Meng Han, Dan Lo, Vijay V. Raghavan, Dalei Wu, Dong Yuan and Asif Iqbal Baba. Their work appears in journals such as PLoS ONE, Scientific Reports and IEEE Access.

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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