Xiaolei Qian

2.0k citations
54 papers · 1.1k indexed · h-index 17

Xiaolei Qian

49 papers receiving 1.0k citations

Peers

Xiaolei Qian
Comparison fields: 5 of 91
  • Artificial Intelligence 462
  • Computer Networks and Communications 448
  • Sociology and Political Science 354
  • Information Systems 192
  • Signal Processing 157
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Michael Thompson United States
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Citations per field
00.5×10×14.9×
Andreas Both · 1×
Citations per year

Countries citing papers authored by Xiaolei Qian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Qian. A scholar is included among the top collaborators of Xiaolei Qian 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 Xiaolei Qian. Xiaolei Qian 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 3
2 6
3
Inequality and Happiness in Urban China
51
4 17
5 154
6 2
7 16
8 5
9 7
10 8
11
A security mediator for health care information.
26
12 1
13
Integrity Maintenance in Object-Oriented Databases
23
14
Tuple-level vs Element-level Classification.
7
15
Toward a Tool to Detect and Eliminate Inference Problems in the Design of Multilevel Databases.
5
16
Synthesizing Database Transactions
3
17 8
18
On the expressive power of the bounded iteration construct
3
19
Integrity Constraint Reformulation for Efficient Validation
14
20
Data Definition Facilities of Critias
1

About Xiaolei Qian

Xiaolei Qian is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (16 papers), Distributed systems and fault tolerance (12 papers) and Access Control and Trust (11 papers). The work is most often cited by research in Computer Networks and Communications (448 citations), Signal Processing (157 citations) and Artificial Intelligence (462 citations). Xiaolei Qian has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Russell Smyth, Gio Wiederhold, Li Gong, Vinod Mishra, Mark Moriconi, Teresa F. Lunt, Kenny Smith, Marianne Winslett, H. V. Jagadish and Richard Waldinger. Their work appears in journals such as Ecological Economics, IEEE Transactions on Software Engineering and IEEE Transactions on Knowledge and Data Engineering.

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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