Rong Xiao

669 total citations
19 papers, 420 citations indexed

About

Rong Xiao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rong Xiao has authored 19 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rong Xiao's work include Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (4 papers). Rong Xiao is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Recommender Systems and Techniques (6 papers) and Topic Modeling (4 papers). Rong Xiao collaborates with scholars based in China, United Kingdom and Hong Kong. Rong Xiao's co-authors include Hao Zhang, Long Zhu, Chenliang Li, Junhui Li, Dong Zhang, Guodong Zhou, Min Zhang, Shoushan Li, Deli Zhao and Xiaoou Tang and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Multimedia.

In The Last Decade

Rong Xiao

17 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rong Xiao China 11 225 220 92 32 22 19 420
Yiheng Xu China 8 285 1.3× 323 1.5× 85 0.9× 33 1.0× 20 0.9× 10 560
Mingi Ji South Korea 7 189 0.8× 188 0.9× 49 0.5× 25 0.8× 10 0.5× 11 334
Ledell Wu China 8 406 1.8× 221 1.0× 46 0.5× 14 0.4× 16 0.7× 10 592
S. Chitrakala India 10 306 1.4× 162 0.7× 53 0.6× 11 0.3× 14 0.6× 52 497
Mingliang Chen China 8 216 1.0× 347 1.6× 54 0.6× 32 1.0× 14 0.6× 18 556
Pu Li China 9 163 0.7× 56 0.3× 98 1.1× 15 0.5× 16 0.7× 41 311
Weijie Fu China 7 289 1.3× 230 1.0× 61 0.7× 23 0.7× 5 0.2× 17 455
Litao Yu Australia 8 174 0.8× 262 1.2× 31 0.3× 18 0.6× 7 0.3× 27 399
Ruimin Wang China 9 110 0.5× 98 0.4× 48 0.5× 24 0.8× 13 0.6× 20 291
Yun-Cheng Wang United States 8 196 0.9× 62 0.3× 61 0.7× 21 0.7× 28 1.3× 23 347

Countries citing papers authored by Rong Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Rong Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rong Xiao

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

All Works

19 of 19 papers shown
1.
2.
Zheng, Yuhang, Yinfu Feng, Yunan Ye, et al.. (2024). ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling. IEEE Transactions on Knowledge and Data Engineering. 37(1). 265–277.
3.
Xiao, Rong, et al.. (2023). Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. 346–350. 4 indexed citations
4.
Tan, Min, et al.. (2023). FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data. IEEE Transactions on Multimedia. 26. 5807–5822. 8 indexed citations
5.
Chai, Zheng, Zhihong Chen, Chenliang Li, et al.. (2022). User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1326–1335. 23 indexed citations
6.
Chen, Yihao, Xin Tang, Xianbiao Qi, Chun-Guang Li, & Rong Xiao. (2022). Learning graph normalization for graph neural networks. Neurocomputing. 493. 613–625. 28 indexed citations
7.
Zhang, Dong, Rong Xiao, Junhui Li, et al.. (2021). Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 4395–4405. 67 indexed citations
8.
9.
Chen, Zhihong, Chenliang Li, Rong Xiao, et al.. (2021). Path-based Deep Network for Candidate Item Matching in Recommenders. 1493–1502. 10 indexed citations
10.
Li, Bofang, Chenliang Li, Rong Xiao, et al.. (2020). Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. 2165–2168. 2 indexed citations
11.
Li, Zhao, Jialin Wang, Jiaming Huang, et al.. (2020). Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. 2693–2700. 15 indexed citations
12.
13.
Xiao, Rong, Jianhui Ji, Baoliang Cui, et al.. (2019). Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. 402–410. 15 indexed citations
14.
Li, Bing, Rong Xiao, Zhiwei Li, et al.. (2011). Rank-SIFT: Learning to rank repeatable local interest points. 1737–1744. 34 indexed citations
15.
Xiao, Rong, Liang Kong, Yan Zhang, & Min Wang. (2011). CDW: A text clustering model for diverse versions discovery. 1113–1117.
16.
Hao, Qiang, Rui Cai, Jiang-Ming Yang, et al.. (2009). TravelScope. 1021–1022. 15 indexed citations
17.
Zhao, Deli, Zhouchen Lin, Rong Xiao, & Xiaoou Tang. (2007). Linear Laplacian Discrimination for Feature Extraction. 37 indexed citations
18.
Xiao, Rong, Long Zhu, & Hao Zhang. (2003). Boosting chain learning for object detection. 709–715 vol.1. 106 indexed citations
19.
Xiao, Rong. (1999). AN APPROACH TO RULE EXTRACTION OF NEURAL NETWORKS. 2 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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