Ruiying Geng

627 total citations
11 papers, 281 citations indexed

About

Ruiying Geng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ruiying Geng has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Ruiying Geng's work include Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Text and Document Classification Technologies (3 papers). Ruiying Geng is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (6 papers) and Text and Document Classification Technologies (3 papers). Ruiying Geng collaborates with scholars based in China, Canada and United States. Ruiying Geng's co-authors include Binhua Li, Jian Sun, Xiaodan Zhu, Yongbin Li, Ping Jian, Luo Si, Fei Huang, Guanglin Niu, Yang Li and Jian S. Dai and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Ruiying Geng

9 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruiying Geng China 6 269 70 24 10 9 11 281
Guanghui Qin United States 6 223 0.8× 63 0.9× 28 1.2× 4 0.4× 6 0.7× 10 254
Hidetaka Kamigaito Japan 10 277 1.0× 41 0.6× 29 1.2× 8 0.8× 11 1.2× 77 306
Chunting Zhou United States 10 302 1.1× 111 1.6× 16 0.7× 6 0.6× 6 0.7× 20 351
Parth Gupta Spain 10 269 1.0× 41 0.6× 55 2.3× 16 1.6× 12 1.3× 30 320
Honglun Zhang China 7 209 0.8× 47 0.7× 28 1.2× 12 1.2× 4 0.4× 11 242
Lintang Sutawika United States 5 199 0.7× 36 0.5× 15 0.6× 6 0.6× 5 0.6× 9 237
Sho Takase Japan 10 286 1.1× 52 0.7× 29 1.2× 7 0.7× 5 0.6× 31 316
Scott Yih United States 9 272 1.0× 90 1.3× 48 2.0× 8 0.8× 13 1.4× 19 303

Countries citing papers authored by Ruiying Geng

Since Specialization
Citations

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

Fields of papers citing papers by Ruiying Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruiying Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Ruiying Geng. A scholar is included among the top collaborators of Ruiying Geng 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 Ruiying Geng. Ruiying Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Li, Shujie, Liang Li, Ruiying Geng, et al.. (2024). Unifying Structured Data as Graph for Data-to-Text Pre-Training. Transactions of the Association for Computational Linguistics. 12. 210–228. 3 indexed citations
2.
Li, Liang, et al.. (2023). Plan-then-Seam: Towards Efficient Table-to-Text Generation. 205–219.
4.
Geng, Ruiying, Bing Li, Can Ma, et al.. (2023). CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. 2983–3000. 1 indexed citations
5.
Hui, Binyuan, et al.. (2022). S2SQL: Injecting Syntax to Question-Schema Interaction Graph Encoder for Text-to-SQL Parsers. Findings of the Association for Computational Linguistics: ACL 2022. 1254–1262. 6 indexed citations
6.
Niu, Guanglin, Yang Li, Ruiying Geng, et al.. (2021). Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion. 213–222. 45 indexed citations
7.
Hui, Binyuan, Ruiying Geng, Binhua Li, et al.. (2021). Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 13116–13124. 26 indexed citations
8.
Geng, Ruiying, Binhua Li, Yongbin Li, Jian Sun, & Xiaodan Zhu. (2020). Dynamic Memory Induction Networks for Few-Shot Text Classification. 1087–1094. 55 indexed citations
9.
Geng, Ruiying, Binhua Li, Yongbin Li, et al.. (2019). Few-Shot Text Classification with Induction Network.. arXiv (Cornell University). 9 indexed citations
10.
Geng, Ruiying, Binhua Li, Yongbin Li, et al.. (2019). Induction Networks for Few-Shot Text Classification. 3902–3911. 131 indexed citations
11.
Geng, Ruiying, Ping Jian, Yingxue Zhang, & Heyan Huang. (2017). Implicit discourse relation identification based on tree structure neural network. 334–337. 5 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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