Clement Yu

6.2k citations
133 papers · 3.5k · h-index 32

Impact in

Papers in

Clement Yu

128 papers receiving 3.2k citations

Peers

Clement Yu
Comparison fields: 5 of 127
  • Information Systems 2.0k
  • Signal Processing 910
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 1.7k
  • Management Science and Operations Research 310
Replace Vanja Josifovski with:
Vanja Josifovski United States
Junghoo Cho United States
Weiyi Meng United States
Roberto J. Bayardo United States
Stefano Paraboschi Italy
S. Sudarshan India
Arvind Arasu United States
Taher H. Haveliwala United States
Gordon V. Cormack Canada
Kevin Beyer United States
Clement Yu relative to Vanja Josifovski United States Vanja Josifovski's profile →
Citations per field
00.5×1.5×
Vanja Josifovski · 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 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006235
2 2002195
3 2005181
4 2004180
5 2004151
6 2002139
7 2009122
8 2007102
9
Principles of Database Query Processing for Advanced Applications
1997101
10 199759
11 200459
12 198958
13
Reasoning About Spatial Relationships in Picture Retrieval Systems
199457
14 197355
15
Determining Text Databases to Search in the Internet
199852
16 200751
17 197349
18 200947
19 200543
20 200942

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 133 papers that have together received 3.5k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (55 papers), Advanced Database Systems and Queries (32 papers), Data Management and Algorithms (28 papers), Semantic Web and Ontologies (25 papers), Topic Modeling (23 papers), Caching and Content Delivery (19 papers), Natural Language Processing Techniques (17 papers) and Algorithms and Data Compression (14 papers). The work is most often cited by research in Information Systems (2.0k citations), Signal Processing (910 citations), Computer Networks and Communications (1.3k citations), Artificial Intelligence (1.7k citations) and Management Science and Operations Research (310 citations). Clement Yu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Weiyi Meng, King-Lup Liu, Fang Liu, Zonghuan Wu, Wensheng Wu, Hongkun Zhao, Gerard Salton, Fang Liu, Eduard Dragut and Abdur Chowdhury. Their work appears in journals such as ACM SIGMOD Record, Proceedings of the VLDB Endowment, ACM Transactions on Information Systems, ACM Transactions on the Web 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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