Ada Wai-Chee Fu

9.0k citations
106 papers · 5.1k indexed · 2 hit papers · h-index 38

Ada Wai-Chee Fu

106 papers receiving 4.8k citations

Hit Papers

Efficient time series matching by wavelets199920262008201719992006200400600

Peers

Ada Wai-Chee Fu
Comparison fields: 5 of 121
  • Artificial Intelligence 3.1k
  • Signal Processing 2.0k
  • Computer Networks and Communications 1.1k
  • Sociology and Political Science 916
  • Information Systems 900
Replace Panos Kalnis with:
Panos Kalnis Saudi Arabia
Anthony K. H. Tung Singapore
Jianhua Feng China
Ben Kao Hong Kong
M. TAMER ÖZSU Canada
Ge Yu China
S. Muthukrishnan United States
Yunjun Gao China
Nikos Mamoulis Hong Kong
Nick Koudas Canada
Ada Wai-Chee Fu relative to Panos Kalnis Saudi Arabia Panos Kalnis's profile →
Citations per field
00.5×1.5×
Panos Kalnis · 1×
Citations per year

Countries citing papers authored by Ada Wai-Chee Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ada Wai-Chee Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ada Wai-Chee Fu. 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 Ada Wai-Chee Fu. The network helps show where Ada Wai-Chee Fu may publish in the future.

Co-authorship network of co-authors of Ada Wai-Chee Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Ada Wai-Chee Fu. A scholar is included among the top collaborators of Ada Wai-Chee Fu 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 Ada Wai-Chee Fu. Ada Wai-Chee Fu 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 1
2 10
3 6
4 37
5 8
6 100
7
Anonymization for Global Privacy Guarantee in Serial Data Publishing
1
8 104
9
Multi-Prototype Concept and Object Typicality in Ontology
9
10
On efficient spatial matching
44
11
Minimality Attack in Privacy Preserving Data Publishing
185
12
(α, k)-anonymitybreakdown →
399
13 51
14 2
15
Efficient Accessibility Lookup for XML.
1
16 30
17
From XML to Relational Databases.
4
18
Finding Structure and Characteristics of Web Documents for Classification.
19
19
A Case-Based Reasoning Approach for Associative Query Answering
3
20
A Transaction Replication Scheme for a Replicated Database with Node Autonomy
9

About Ada Wai-Chee Fu

Ada Wai-Chee Fu is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 106 papers that have together received 5.1k indexed citations. Recurring topics across this work include Data Management and Algorithms (35 papers), Privacy-Preserving Technologies in Data (27 papers) and Cryptography and Data Security (22 papers). The work is most often cited by research in Signal Processing (2.0k citations), Artificial Intelligence (3.1k citations) and Computer Networks and Communications (1.1k citations). Ada Wai-Chee Fu has collaborated with scholars based in Hong Kong, Canada and United States. Frequent co-authors include Raymond Chi-Wing Wong, K. W. Chan, James Cheng, Jian Pei, Chun Hung Cheng, Yi Zhang, Jiuyong Li, Philip S. Yu, Ke Wang and Jia Liu. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Parallel and Distributed Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026