Clement Yu

6.3k citations
158 papers · 4.8k · h-index 37

Impact in

Papers in

Clement Yu

152 papers receiving 4.3k citations

Peers

Clement Yu
Comparison fields: 5 of 137
  • Information Systems 2.7k
  • Signal Processing 1.2k
  • Computer Networks and Communications 1.8k
  • Artificial Intelligence 2.3k
  • Management Science and Operations Research 408
Replace James Cheney with:
James Cheney United Kingdom
Junghoo Cho United States
Vanja Josifovski United States
Weiyi Meng United States
Roberto J. Bayardo United States
Paolo Atzeni Italy
Stefano Paraboschi Italy
Ioana Manolescu France
Gordon V. Cormack Canada
Ashraf Aboulnaga Canada
Clement Yu relative to James Cheney United Kingdom James Cheney's profile →
Citations per field
00.5×1.5×2×2.3×
James Cheney · 1×
Citations per year

Countries citing papers authored by Clement Yu

Since Specialization
Citations

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

Fields of papers citing papers by Clement Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Clement Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Clement Yu Line = papers co-authored together Clement Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006279
2 2002244
3 2005221
4 2004208
5 2004183
6 2002175
7 2009157
8 2007124
9
Principles of Database Query Processing for Advanced Applications
1997123
10 2003116
11 199775
12 200474
13
Reasoning About Spatial Relationships in Picture Retrieval Systems
199471
14 199370
15 197369
16 198965
17 200760
18 200560
19
Determining Text Databases to Search in the Internet
199859
20 201055

About Clement Yu

Clement Yu is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 158 papers that have together received 4.8k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (65 papers), Advanced Database Systems and Queries (38 papers), Data Management and Algorithms (35 papers), Semantic Web and Ontologies (28 papers), Topic Modeling (25 papers), Caching and Content Delivery (22 papers), Natural Language Processing Techniques (18 papers) and Advanced Text Analysis Techniques (16 papers). The work is most often cited by research in Information Systems (2.7k citations), Signal Processing (1.2k citations), Computer Networks and Communications (1.8k citations), Artificial Intelligence (2.3k citations) and Management Science and Operations Research (408 citations). Clement Yu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Weiyi Meng, Zonghuan Wu, King-Lup Liu, Hai He, Fang Liu, Wensheng Wu, Hongkun Zhao, Gerard Salton, Fang Liu and AnHai Doan. Their work appears in journals such as ACM SIGMOD Record, Proceedings of the VLDB Endowment, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and ACM SIGIR Forum.

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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