Yeye He

1.5k total citations
47 papers, 897 citations indexed

About

Yeye He is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Yeye He has authored 47 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management Science and Operations Research, 25 papers in Artificial Intelligence and 21 papers in Computer Networks and Communications. Recurrent topics in Yeye He's work include Data Quality and Management (30 papers), Advanced Database Systems and Queries (19 papers) and Data Management and Algorithms (16 papers). Yeye He is often cited by papers focused on Data Quality and Management (30 papers), Advanced Database Systems and Queries (19 papers) and Data Management and Algorithms (16 papers). Yeye He collaborates with scholars based in United States, United Kingdom and Canada. Yeye He's co-authors include Jeffrey F. Naughton, Surajit Chaudhuri, Chen Zhao, Dong Xin, Kris Ganjam, Kaushik Chakrabarti, Akash Das Sarma, Cong Yan, Venkatesh Ganti and Siddharth Barman and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and arXiv (Cornell University).

In The Last Decade

Yeye He

43 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeye He United States 19 580 432 323 216 179 47 897
George Papadakis Greece 21 930 1.6× 996 2.3× 558 1.7× 269 1.2× 84 0.5× 73 1.3k
Giovanni Tummarello Ireland 14 632 1.1× 154 0.4× 442 1.4× 298 1.4× 104 0.6× 36 796
Yannis Velegrakis Italy 18 619 1.1× 309 0.7× 346 1.1× 446 2.1× 257 1.4× 75 952
Sean Kandel United States 5 237 0.4× 204 0.5× 156 0.5× 164 0.8× 130 0.7× 9 615
Wolfgang Gatterbauer United States 16 336 0.6× 220 0.5× 303 0.9× 404 1.9× 224 1.3× 50 780
Hazem Elmeleegy United States 12 222 0.4× 120 0.3× 206 0.6× 229 1.1× 157 0.9× 19 489
Xibei Jia United Kingdom 9 601 1.0× 748 1.7× 388 1.2× 433 2.0× 192 1.1× 12 980
Mokrane Bouzeghoub France 17 367 0.6× 148 0.3× 466 1.4× 362 1.7× 135 0.8× 56 737
Richard McCreadie United Kingdom 18 515 0.9× 77 0.2× 415 1.3× 119 0.6× 104 0.6× 66 885
Altigran S. da Silva Brazil 19 726 1.3× 241 0.6× 1.1k 3.3× 507 2.3× 206 1.2× 55 1.3k

Countries citing papers authored by Yeye He

Since Specialization
Citations

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

Fields of papers citing papers by Yeye He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeye He

This figure shows the co-authorship network connecting the top 25 collaborators of Yeye He. A scholar is included among the top collaborators of Yeye He 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 Yeye He. Yeye He 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.
He, Yeye, et al.. (2025). Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables. Proceedings of the ACM on Management of Data. 3(3). 1–27.
2.
Liu, Yihao, Mengyu Zhou, Yeye He, et al.. (2025). TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models. 22376–22391. 1 indexed citations
3.
4.
Zhou, Mengyu, et al.. (2024). Encoding Spreadsheets for Large Language Models. 20728–20748.
5.
6.
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
7.
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
8.
Wang, Yue, Vivek Narasayya, Yeye He, & Surajit Chaudhuri. (2022). PACk. Proceedings of the VLDB Endowment. 15(6). 1132–1145. 3 indexed citations
9.
10.
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
11.
He, Yeye, Kris Ganjam, Yue Wang, et al.. (2018). Transform-Data-by-Example (TDE). 1785–1788. 13 indexed citations
12.
Huang, Zhipeng & Yeye He. (2018). Auto-Detect. 1377–1392. 27 indexed citations
13.
He, Yeye, Xu Chu, Kris Ganjam, et al.. (2018). Transform-data-by-example (TDE). Proceedings of the VLDB Endowment. 11(10). 1165–1177. 36 indexed citations
14.
Li, Keqian, Yeye He, & Kris Ganjam. (2017). Discovering Enterprise Concepts Using Spreadsheet Tables. 1873–1882. 7 indexed citations
15.
Chakrabarti, Kaushik, Surajit Chaudhuri, Zhimin Chen, Kris Ganjam, & Yeye He. (2016). Data services leveraging Bing's data assets.. IEEE Data(base) Engineering Bulletin. 39. 15–28. 18 indexed citations
16.
Wang, Chi, Kaushik Chakrabarti, Yeye He, et al.. (2015). Concept Expansion Using Web Tables. 1198–1208. 25 indexed citations
17.
Chakrabarti, Kaushik, et al.. (2014). Expansion of Tail Concept Using Web Tables. 1 indexed citations
18.
He, Yeye, et al.. (2013). Crawling deep web entity pages. 355–364. 39 indexed citations
19.
He, Yeye, Siddharth Barman, & Jeffrey F. Naughton. (2011). Preventing equivalence attacks in updated, anonymized data. 529–540. 26 indexed citations
20.
Ganti, Venkatesh, Yeye He, & Dong Xin. (2010). Keyword++. Proceedings of the VLDB Endowment. 3(1-2). 711–722. 27 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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