Ling Xu

1.4k total citations
53 papers, 942 citations indexed

About

Ling Xu is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Ling Xu has authored 53 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Information Systems, 15 papers in Artificial Intelligence and 15 papers in Software. Recurrent topics in Ling Xu's work include Software Engineering Research (31 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Techniques and Practices (9 papers). Ling Xu is often cited by papers focused on Software Engineering Research (31 papers), Software Reliability and Analysis Research (14 papers) and Software Engineering Techniques and Practices (9 papers). Ling Xu collaborates with scholars based in China, Australia and United States. Ling Xu's co-authors include Meng Yan, Xiaohong Zhang, Dan Yang, Yan Lei, Xin Xia, Chao Liu, Brian C. Lovell, Ying Fu, Jie Zou and Hua Han and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Ling Xu

48 papers receiving 915 citations

Peers

Ling Xu
Comparison fields: 5 of 92
  • Information Systems 580
  • Artificial Intelligence 315
  • Software 234
  • Computer Vision and Pattern Recognition 195
  • Computer Networks and Communications 194
Replace Steven Y. Ko with:
Steven Y. Ko United States
In‐Young Ko South Korea
Danny Ho Canada
Alessio Gambi Germany
Jie Tian China
Seung-Hyun Seo South Korea
Santosh Singh Rathore India
Baojiang Cui China
Ugur Kuter United States
Michael Vierhauser Austria
Steven Y. Ko United States View profile →
Citations per field, relative to Ling Xu
Ling Xu · 1×
Citations per year, relative to Ling Xu
Ling Xu · 1×

Countries citing papers authored by Ling Xu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Xu. A scholar is included among the top collaborators of Ling Xu 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 Ling Xu. Ling Xu 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 0
2 0
3 2
4 0
5 0
6 5
7 0
8 21
9 9
10 32
11 25
12 30
13 46
14 2
15 17
16 3
17 18
18 28
19
New approach to feature selection for text categorization using class correlation
1
20 63

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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