Cong Yan

470 citations
27 papers · 302 indexed · h-index 9

Impact in

Papers in

    • Advanced Database Systems and Queries 12
    • Distributed systems and fault tolerance 8
    • Software System Performance and Reliability 6
    • Advanced Data Storage Technologies 4
    • Cloud Computing and Resource Management 5
    • Web Data Mining and Analysis 5

Cong Yan

20 papers receiving 296 citations

Peers

Cong Yan
Comparison fields: 5 of 27
  • Hardware and Architecture 78
  • Computer Networks and Communications 233
  • Software 35
  • Information Systems 164
  • Management Science and Operations Research 26
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Citations per field
00.5×6.3×
Raja R. Sambasivan · 1×
Citations per year

Countries citing papers authored by Cong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cong Yan, 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 Cong Yan Line = papers co-authored together Cong Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201846
3 201635
4 201733
5 202125
6 201816
7 201816
8 201616
9 201914
10 20208
11 20198
12 20235
13 20235
14 20233
15 20233
16 20242
17
View-Driven Optimization of Database-Backed Web Applications.
20201
18 20251
19
Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code
20181
20 20111

About Cong Yan

Cong Yan is a scholar working on Computer Networks and Communications, Information Systems, Management Science and Operations Research, Hardware and Architecture and Artificial Intelligence, having authored 27 papers that have together received 302 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (12 papers), Distributed systems and fault tolerance (8 papers), Software System Performance and Reliability (6 papers), Cloud Computing and Resource Management (5 papers), Web Data Mining and Analysis (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (4 papers) and Data Quality and Management (4 papers). The work is most often cited by research in Hardware and Architecture (78 citations), Computer Networks and Communications (233 citations), Software (35 citations), Information Systems (164 citations) and Management Science and Operations Research (26 citations). Cong Yan has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alvin Cheung, Shan Lu, Joel Emer, Daniel Sánchez, Suvinay Subramanian, Yeye He, Xiangyao Yu, Chengcheng Wan, Barzan Mozafari and Xiaoxuan Liu. Their work appears in journals such as Proceedings of the VLDB Endowment, Frontiers in Psychology, IEEE Micro, ACM SIGMOD Record and Proceedings of the ACM on Management of Data.

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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