Rui Xia

2.9k total citations
47 papers, 1.7k citations indexed

About

Rui Xia is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rui Xia has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 6 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rui Xia's work include Sentiment Analysis and Opinion Mining (25 papers), Topic Modeling (19 papers) and Text and Document Classification Technologies (16 papers). Rui Xia is often cited by papers focused on Sentiment Analysis and Opinion Mining (25 papers), Topic Modeling (19 papers) and Text and Document Classification Technologies (16 papers). Rui Xia collaborates with scholars based in China, Singapore and United States. Rui Xia's co-authors include Jianfei Yu, Chengqing Zong, Jing Jiang, Feng Xu, Erik Cambria, Xuelei Hu, Yong Qi, Huihui He, Xinyu Dai and Zhen Wu and has published in prestigious journals such as Optics Letters, International Journal of Computer Vision and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Rui Xia

43 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rui Xia China	24	1.4k	273	150	138	90	47	1.7k
Yafeng Ren China	25	1.5k 1.0×	450 1.6×	205 1.4×	82 0.6×	104 1.2×	69	1.8k
Xiaojun Quan China	20	1.2k 0.9×	340 1.2×	75 0.5×	207 1.5×	49 0.5×	74	1.5k
Deepa Gupta India	20	954 0.7×	195 0.7×	55 0.4×	136 1.0×	41 0.5×	135	1.3k
Tieyun Qian China	20	1.2k 0.8×	659 2.4×	82 0.5×	168 1.2×	132 1.5×	82	1.7k
Suge Wang China	19	832 0.6×	244 0.9×	48 0.3×	120 0.9×	25 0.3×	63	1.0k
Keith Hall United States	19	1.9k 1.3×	226 0.8×	51 0.3×	289 2.1×	133 1.5×	72	2.3k
Xingcheng Yao China	2	1.1k 0.8×	223 0.8×	47 0.3×	322 2.3×	60 0.7×	3	1.4k
Shi Feng China	19	844 0.6×	270 1.0×	45 0.3×	194 1.4×	62 0.7×	81	1.1k
Linmei Hu China	16	961 0.7×	520 1.9×	269 1.8×	181 1.3×	72 0.8×	46	1.3k

Countries citing papers authored by Rui Xia

Since Specialization

Citations

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

Fields of papers citing papers by Rui Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Xia

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Guo, Ting, et al.. (2025). Correlation Between Fat Attenuation Index and Plaque Parameters in Coronary CT Angiography: An Observational Study in Stable Coronary Artery Disease. Clinical and Applied Thrombosis/Hemostasis. 31. 3005494963–3005494963.

Xia, Rui, et al.. (2025). SfM on-the-fly: A robust near real-time SfM for spatiotemporally disordered high-resolution imagery from multiple agents. ISPRS Journal of Photogrammetry and Remote Sensing. 224. 202–221.

Yu, Jianfei, et al.. (2024). From Extraction to Generation: Multimodal Emotion-Cause Pair Generation in Conversations. IEEE Transactions on Affective Computing. 16(2). 586–597. 1 indexed citations

Xia, Rui & Chun Liu. (2024). Facial Expression Recognition in Museum Settings Using an Enhanced Residual Networks. 362–366.

Zhu, Zhaoyang, Rui Xia, Tian Zhou, et al.. (2023). Energy forecasting with robust, flexible, and explainable machine learning algorithms. AI Magazine. 44(4). 377–393. 9 indexed citations

Xia, Rui, et al.. (2022). Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information. International Journal of Applied Earth Observation and Geoinformation. 116. 103162–103162. 11 indexed citations

Xia, Rui, et al.. (2021). Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions. 340–350. 94 indexed citations

Zhang, Xiuwei, et al.. (2021). A robust discriminative multi-atlas label fusion method for hippocampus segmentation from MR image. Computer Methods and Programs in Biomedicine. 208. 106197–106197. 5 indexed citations

Yu, Jianfei, et al.. (2020). Coupled Hierarchical Transformer for Stance-Aware Rumor Verification in Social Media Conversations. 1392–1401. 28 indexed citations

10.

Yu, Jianfei, et al.. (2020). Unified Feature and Instance Based Domain Adaptation for Aspect-Based Sentiment Analysis. 7035–7045. 43 indexed citations

11.

Tu, Yaofeng, et al.. (2020). Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network. 833–843. 67 indexed citations

12.

Wu, Zhen, et al.. (2020). Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction. 2576–2585. 128 indexed citations

13.

Yan, Hong, et al.. (2019). Research and application of deep learning in laboratory medicine. Zhonghua jianyan yixue zazhi. 42(12). 1063–1066. 2 indexed citations

14.

Yu, Jianfei, Jing Jiang, & Rui Xia. (2018). Global Inference for Aspect and Opinion Terms Co-Extraction Based on Multi-Task Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing. 27(1). 168–177. 86 indexed citations

15.

Yu, Jiahui, Kun Wang, Peng Li, et al.. (2017). Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection. IEEE Transactions on Big Data. 8(1). 99–112. 16 indexed citations

16.

Xia, Rui, Chengqing Zong, Xuelei Hu, & Erik Cambria. (2015). Feature Ensemble Plus Sample Selection: Domain Adaptation for Sentiment Classification (Extended Abstract). International Joint Conference on Artificial Intelligence. 4229–4233. 3 indexed citations

17.

Xia, Rui, Chengqing Zong, Xuelei Hu, & Erik Cambria. (2013). Feature ensemble plus sample selection: domain adaptation for sentiment classification. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations

18.

Xia, Rui, Xuelei Hu, Jianfeng Lu, Jian Yang, & Chengqing Zong. (2013). Instance selection and instance weighting for cross-domain sentiment classification via PU learning. Queensland's institutional digital repository (The University of Queensland). 2176–2182. 23 indexed citations

19.

Xia, Rui & Chengqing Zong. (2011). A POS-based Ensemble Model for Cross-domain Sentiment Classification. 614–622. 30 indexed citations

20.

Xia, Rui & Chengqing Zong. (2010). Exploring the Use of Word Relation Features for Sentiment Classification. International Conference on Computational Linguistics. 1336–1344. 47 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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