Cong Yan

470 total citations
27 papers, 302 citations indexed

About

Cong Yan is a scholar working on Computer Networks and Communications, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Cong Yan has authored 27 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 13 papers in Information Systems and 5 papers in Management Science and Operations Research. Recurrent topics in Cong Yan's work include Advanced Database Systems and Queries (12 papers), Distributed systems and fault tolerance (8 papers) and Software System Performance and Reliability (6 papers). Cong Yan is often cited by papers focused on Advanced Database Systems and Queries (12 papers), Distributed systems and fault tolerance (8 papers) and Software System Performance and Reliability (6 papers). Cong Yan collaborates with scholars based in United States, United Kingdom and China. Cong Yan's co-authors include Alvin Cheung, Shan Lu, Daniel Sánchez, Suvinay Subramanian, Joel Emer, Yeye He, Xiangyao Yu, Chengcheng Wan, Xinyu Wang and Barzan Mozafari and has published in prestigious journals such as Frontiers in Psychology, Proceedings of the VLDB Endowment and ACM SIGMOD Record.

In The Last Decade

Cong Yan

20 papers receiving 296 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cong Yan United States 9 233 164 78 56 40 27 302
Raja R. Sambasivan United States 11 493 2.1× 281 1.7× 57 0.7× 69 1.2× 16 0.4× 25 516
Manuel Rigger Singapore 9 153 0.7× 86 0.5× 84 1.1× 98 1.8× 28 0.7× 31 257
Andrew Or United States 6 231 1.0× 146 0.9× 30 0.4× 80 1.4× 47 1.2× 7 300
Andrea Rosà Switzerland 9 239 1.0× 208 1.3× 98 1.3× 70 1.3× 8 0.2× 46 318
Alessandro Morari United States 10 130 0.6× 180 1.1× 75 1.0× 61 1.1× 41 1.0× 27 295
Kostas Magoutis Greece 11 325 1.4× 218 1.3× 59 0.8× 47 0.8× 16 0.4× 56 382
Brendan Gregg United States 9 205 0.9× 136 0.8× 92 1.2× 57 1.0× 18 0.5× 20 282
Tanakorn Leesatapornwongsa United States 8 314 1.3× 224 1.4× 60 0.8× 54 1.0× 7 0.2× 17 369
Rinku Gupta United States 11 252 1.1× 120 0.7× 110 1.4× 46 0.8× 14 0.3× 19 290
Bryan Cantrill United States 5 309 1.3× 161 1.0× 157 2.0× 119 2.1× 11 0.3× 7 379

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-authorship network of co-authors of Cong Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yan. A scholar is included among the top collaborators of Cong Yan 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 Yan. Cong Yan 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
1.
2.
Siddiqui, Tarique, Arnd Christian König, Jiashen Cao, Cong Yan, & Shuvendu K. Lahiri. (2025). QURE: AI-Assisted and Automatically Verified UDF Inlining. Proceedings of the ACM on Management of Data. 3(1). 1–26.
3.
Yan, Cong, et al.. (2025). LLM-Vectorizer: LLM-Based Verified Loop Vectorizer. 137–149. 1 indexed citations
4.
Wang, Zefeng, et al.. (2024). Detecting five-pattern personality traits using eye movement features for observing emotional faces. Frontiers in Psychology. 15. 1397340–1397340. 2 indexed citations
5.
Yan, Cong, et al.. (2023). Predicate Pushdown for Data Science Pipelines. Proceedings of the ACM on Management of Data. 1(2). 1–28. 3 indexed citations
6.
Liu, Jie, et al.. (2023). SlabCity: Whole-Query Optimization Using Program Synthesis. Proceedings of the VLDB Endowment. 16(11). 3151–3164. 3 indexed citations
7.
Cheung, Alvin, et al.. (2023). Towards Auto-Generated Data Systems. Proceedings of the VLDB Endowment. 16(12). 4116–4129.
8.
Yan, Cong, Suman Nath, & Shan Lu. (2023). Generating Test Databases for Database-Backed Applications. 2048–2059.
9.
He, Yeye, et al.. (2023). Auto-Tables: Synthesizing Multi-Step Transformations to Relationalize Tables without Using Examples. Proceedings of the VLDB Endowment. 16(11). 3391–3403. 5 indexed citations
10.
Liu, Xiaoxuan, et al.. (2023). Leveraging Application Data Constraints to Optimize Database-Backed Web Applications. Proceedings of the VLDB Endowment. 16(6). 1208–1221. 5 indexed citations
11.
Yan, Cong, et al.. (2020). View-Driven Optimization of Database-Backed Web Applications.. Conference on Innovative Data Systems Research. 1 indexed citations
12.
Yan, Cong, et al.. (2020). Managing data constraints in database-backed web applications. 1098–1109. 8 indexed citations
13.
14.
Yan, Cong, et al.. (2019). View-Centric Performance Optimization for Database-Backed Web Applications. 14 indexed citations
15.
Yan, Cong & Alvin Cheung. (2019). Generating application-specific data layouts for in-memory databases. Proceedings of the VLDB Endowment. 12(11). 1513–1525. 8 indexed citations
16.
Yan, Cong & Yeye He. (2018). Auto-Type: Synthesizing Type-Detection Logic for Rich Semantic Data Types using Open-source Code. International Conference on Management of Data. 1 indexed citations
17.
18.
Yan, Cong & Alvin Cheung. (2016). Leveraging lock contention to improve OLTP application performance. Proceedings of the VLDB Endowment. 9(5). 444–455. 35 indexed citations
19.
Subramanian, Suvinay, et al.. (2016). Unlocking Ordered Parallelism with the Swarm Architecture. IEEE Micro. 36(3). 105–117. 16 indexed citations
20.
Subramanian, Suvinay, et al.. (2015). A scalable architecture for ordered parallelism. 228–241. 63 indexed citations

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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