Cong Yu

8.3k total citations
180 papers, 4.8k citations indexed

About

Cong Yu is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Cong Yu has authored 180 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 58 papers in Information Systems and 35 papers in Signal Processing. Recurrent topics in Cong Yu's work include Web Data Mining and Analysis (34 papers), Data Management and Algorithms (33 papers) and Data Quality and Management (31 papers). Cong Yu is often cited by papers focused on Web Data Mining and Analysis (34 papers), Data Management and Algorithms (33 papers) and Data Quality and Management (31 papers). Cong Yu collaborates with scholars based in United States, China and Canada. Cong Yu's co-authors include Sihem Amer-Yahia, H. V. Jagadish, Alon Halevy, Laks V. S. Lakshmanan, Gautam Das, Wei Pan, Martin Freedman, Senjuti Basu Roy, Xin Luna Dong and You Wu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Cong Yu

176 papers receiving 4.5k citations

Peers

Cong Yu
Comparison fields: 5 of 164
  • Artificial Intelligence 1.7k
  • Information Systems 1.5k
  • Computer Networks and Communications 1.4k
  • Signal Processing 1.1k
  • Management Science and Operations Research 766
Replace Alfredo Cuzzocrea with:
Alfredo Cuzzocrea Italy
Nor Badrul Anuar Malaysia
Jian Ma China
Xiangliang Zhang Saudi Arabia
Xi Chen China
Craig A. Knoblock United States
Ling Chen China
Junjie Wu China
Haruna Chiroma Nigeria
Wei Ding United States
Alfredo Cuzzocrea Italy View profile →
Citations per field, relative to Cong Yu
Cong Yu · 1×
Citations per year, relative to Cong Yu
Cong Yu · 1×

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yu. A scholar is included among the top collaborators of Cong Yu 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 Cong Yu. Cong Yu 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 1
2 0
3 2
4 20
5 4
6 4
7 8
8
CLUENER2020: Fine-grained Name Entity Recognition for Chinese
14
9
TURL: Table Understanding through Representation Learning
6
10
Title Generation for Web Tables.
1
11 13
12 14
13
Secondary Indexing Techniques for Key-Value Stores: Two Rings To Rule Them All.
3
14
Applying WebTables in Practice
36
15
ANALYSIS OF MARBLE FAILURE ENERGY EVOLUTION UNDER LOADING AND UNLOADING CONDITIONS
11
16
Proceedings of the fifth international workshop on Cloud data management
1
17
Databases and Social Networks
3
18
Web Syndication Using RSS
4
19 23
20 62

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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