460 total citations 22 papers, 282 citations indexed
About
Yingju Xia is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering.
According to data from OpenAlex, Yingju Xia has authored 22 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 10 papers in Information Systems and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yingju Xia's work include Advanced Text Analysis Techniques (7 papers), Web Data Mining and Analysis (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Yingju Xia is often cited by papers focused on Advanced Text Analysis Techniques (7 papers), Web Data Mining and Analysis (7 papers) and Sentiment Analysis and Opinion Mining (6 papers). Yingju Xia collaborates with scholars based in China, Japan and United States. Yingju Xia's co-authors include Hao Yu, Xiaoyan Zhu, Chao Han, Minlie Huang, Shu Zhang, Fangtao Li, Yao Meng, Yuhang Yang, Lide Wu and Yaqian Zhou and has published in prestigious journals such as International Conference on Computational Linguistics, RePEc: Research Papers in Economics and Text REtrieval Conference.
Citations per year, relative to Yingju Xia Yingju Xia (= 1×)
peers
Halim Sayoud
Countries citing papers authored by Yingju Xia
Since
Specialization
Citations
This map shows the geographic impact of Yingju Xia'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 Yingju Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingju Xia more than expected).
This network shows the impact of papers produced by Yingju Xia. 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 Yingju Xia. The network helps show where Yingju Xia may publish in the future.
Co-authorship network of co-authors of Yingju Xia
This figure shows the co-authorship network connecting the top 25 collaborators of Yingju Xia.
A scholar is included among the top collaborators of Yingju Xia 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 Yingju Xia. Yingju Xia is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Fangtao, Chao Han, Minlie Huang, et al.. (2010). Structure-Aware Review Mining and Summarization. International Conference on Computational Linguistics. 653–661.175 indexed citations
7.
Xia, Yingju, et al.. (2010). Morpheme-based product features categorization in Chinese reviews mining. 324–329.2 indexed citations
8.
Yang, Yuhang, et al.. (2010). Fault-Tolerant Learning for Term Extraction. Waseda University Repository (Waseda University). 321–330.8 indexed citations
Tokunaga, Takenobu, Dain Kaplan, Chu‐Ren Huang, et al.. (2008). Adapting International Standard for Asian Language Technologies. 1658–1663.3 indexed citations
19.
Wu, Lide, Jimmy Xiangji Huang, Junyu Niu, et al.. (2002). FDU at TREC 2002: Filtering, Q&A, Web and Video Tasks.. Text REtrieval Conference.15 indexed citations
20.
Wu, Lide, Jimmy Xiangji Huang, Junyu Niu, et al.. (2001). FDU at TREC-10: Filtering, QA, Web and Video Tasks. Text REtrieval Conference. 192–207.5 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.