Fei Chiang

1.2k total citations
36 papers, 686 citations indexed

About

Fei Chiang is a scholar working on Management Science and Operations Research, Artificial Intelligence and Information Systems. According to data from OpenAlex, Fei Chiang has authored 36 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management Science and Operations Research, 24 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in Fei Chiang's work include Data Quality and Management (27 papers), Privacy-Preserving Technologies in Data (12 papers) and Data Mining Algorithms and Applications (11 papers). Fei Chiang is often cited by papers focused on Data Quality and Management (27 papers), Privacy-Preserving Technologies in Data (12 papers) and Data Mining Algorithms and Applications (11 papers). Fei Chiang collaborates with scholars based in Canada, United States and China. Fei Chiang's co-authors include Renée J. Miller, Oktie Hassanzadeh, Hyun‐Chul Lee, Jaroslaw Szlichta, Maksims Volkovs, Nilesh Bansal, Frank Wm. Tompa, Nick Koudas, Divesh Srivastava and Yinghui Wu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Transfusion and Proceedings of the VLDB Endowment.

In The Last Decade

Fei Chiang

34 papers receiving 648 citations

Peers

Fei Chiang
Comparison fields: 5 of 65
  • Management Science and Operations Research 483
  • Artificial Intelligence 418
  • Information Systems 264
  • Computer Networks and Communications 172
  • Signal Processing 110
Replace Kemafor Anyanwu with:
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Ziawasch Abedjan Germany
Sudeepa Roy United States
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Xibei Jia United Kingdom
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Citations per field, relative to Fei Chiang
Fei Chiang · 1×
Citations per year, relative to Fei Chiang
Fei Chiang · 1×

Countries citing papers authored by Fei Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Chiang. A scholar is included among the top collaborators of Fei Chiang 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 Fei Chiang. Fei Chiang 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 3
3 6
4 3
5 10
6 2
7 9
8 12
9
Refining Duplicate Detection for Improved Data Quality.
1
10 6
11 3
12 6
13 2
14 65
15 8
16
Active repair of data quality rules.
8
17 5
18 2
19 164
20
Seeking stable clusters in the blogosphere
44

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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