Ruiying Geng

27 total papers · 617 total citations
10 papers, 280 citations indexed

About

Ruiying Geng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Ruiying Geng has authored 10 papers receiving a total of 280 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 General Health Professions. 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, United States and Canada. Ruiying Geng's co-authors include Jian Sun, Binhua Li, Xiaodan Zhu, Yongbin Li, Ping Jian, Luo Si, Fei Huang, Qiao Liu, Hao Wang and Yang Li 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 272 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ruiying Geng	268	70	24	10	9	10	280
Yu Sun	173 0.6×	90 1.3×	19 0.8×	6 0.6×	4 0.4×	16	223
Guanghui Qin	218 0.8×	62 0.9×	27 1.1×	4 0.4×	5 0.6×	10	248
Zheng Yong	219 0.8×	38 0.5×	16 0.7×	6 0.6×	7 0.8×	10	251
Honglun Zhang	205 0.8×	47 0.7×	27 1.1×	12 1.2×	4 0.4×	11	238
Qingxiu Dong	186 0.7×	45 0.6×	35 1.5×	8 0.8×	17 1.9×	11	266
Yuxian Gu	255 1.0×	71 1.0×	44 1.8×	18 1.8×	8 0.9×	9	303
Lintang Sutawika	193 0.7×	35 0.5×	14 0.6×	6 0.6×	5 0.6×	8	227
Devendra Singh Sachan	284 1.1×	118 1.7×	29 1.2×	10 1.0×	6 0.7×	11	325
George Kour	167 0.6×	50 0.7×	22 0.9×	10 1.0×	5 0.6×	7	208
Hanjie Chen	226 0.8×	28 0.4×	28 1.2×	11 1.1×	10 1.1×	10	320

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

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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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