Xiaoling Wang

2.4k total citations · 1 hit paper
110 papers, 1.2k citations indexed

About

Xiaoling Wang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaoling Wang has authored 110 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 33 papers in Information Systems and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaoling Wang's work include Topic Modeling (15 papers), Recommender Systems and Techniques (12 papers) and Data Management and Algorithms (12 papers). Xiaoling Wang is often cited by papers focused on Topic Modeling (15 papers), Recommender Systems and Techniques (12 papers) and Data Management and Algorithms (12 papers). Xiaoling Wang collaborates with scholars based in China, United States and Hong Kong. Xiaoling Wang's co-authors include Hairong Qi, Yingyue Xu, Aoying Zhou, Wendi Ji, Wayne Xin Zhao, Rajeev Ramanath, W.E. Snyder, Yuming Lin, Kun Yue and Pengfei Wang and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and Journal of Materials Science.

In The Last Decade

Xiaoling Wang

91 papers receiving 1.2k citations

Hit Papers

RecBole: Towards a Unified, Comprehensive and Efficient F... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms
    2021 220 citations Wayne Xin Zhao, Xiaoling Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoling Wang China 17 583 535 276 248 105 110 1.2k
Yi Zhou China 15 570 1.0× 461 0.9× 153 0.6× 355 1.4× 116 1.1× 99 1.3k
Qilong Han China 19 546 0.9× 261 0.5× 272 1.0× 254 1.0× 59 0.6× 114 1.2k
Jilian Zhang China 17 794 1.4× 268 0.5× 110 0.4× 333 1.3× 55 0.5× 42 1.2k
Rafael Stubs Parpinelli Brazil 13 811 1.4× 226 0.4× 160 0.6× 192 0.8× 55 0.5× 62 1.4k
Ling Tian China 22 725 1.2× 226 0.4× 344 1.2× 582 2.3× 58 0.6× 122 1.7k
Chuanping Hu China 19 502 0.9× 231 0.4× 183 0.7× 503 2.0× 28 0.3× 59 1.2k
Bofeng Zhang China 15 358 0.6× 497 0.9× 353 1.3× 188 0.8× 39 0.4× 160 1.1k
Qinbao Song China 20 1.1k 1.9× 320 0.6× 196 0.7× 403 1.6× 47 0.4× 53 1.7k
Honghua Dai Australia 21 659 1.1× 844 1.6× 227 0.8× 508 2.0× 86 0.8× 63 1.9k
Zhenhua Huang China 19 485 0.8× 300 0.6× 171 0.6× 276 1.1× 50 0.5× 59 1.1k

Countries citing papers authored by Xiaoling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoling Wang

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

All Works

20 of 20 papers shown
1.
Wang, Xiaoling, et al.. (2025). SDPR: Prescription Recommendation With Syndrome Differentiation in Traditional Chinese Medicine. IEEE Journal of Biomedical and Health Informatics. 29(5). 3736–3749. 1 indexed citations
2.
Sun, Yuling, et al.. (2025). When Traditional Medicine Meets AI: Critical Considerations for AI-Empowered Clinical Support in Traditional Medicine. Proceedings of the ACM on Human-Computer Interaction. 9(7). 1–37. 1 indexed citations
3.
Guan, Ming, et al.. (2025). Evaluating and Improving Syndrome Differentiation Thinking Ability in Large Language Models: Method Development Study. JMIR Medical Informatics. 13. e75103–e75103. 2 indexed citations
4.
Wu, Yuanbin, et al.. (2025). Guiding LLMs to decode text via aligning semantics in EEG signals and language. Expert Systems with Applications. 299. 130300–130300.
5.
Liang, Hongyang, et al.. (2025). Improved BOTSORT multi-object tracking algorithm for robotic rollers using feature-level fusion of millimeter-wave radar and camera sensors. Information Fusion. 123. 103294–103294. 2 indexed citations
6.
7.
Yao, Junjie, et al.. (2024). Effective Entry-Wise Flow for Molecule Generation. 207–220.
8.
Wang, Jiajun, et al.. (2023). Pixel-wise annotated and high-quality synthesized image datasets for semi-supervised truck segmentation with limited raw images. Automation in Construction. 158. 105197–105197. 2 indexed citations
9.
10.
Li, Jingdong, Zhao Li, Xiaoling Wang, et al.. (2023). GPU-Accelerated Maximal Bicliques Mining Framework for Large E-commerce Networks. 1 indexed citations
11.
Zhu, Wei, Peng Wang, Xiaoling Wang, Yuan Ni, & Guotong Xie. (2023). ACF: Aligned Contrastive Finetuning For Language and Vision Tasks. 9. 1–5. 2 indexed citations
12.
13.
Yan, Da, et al.. (2022). Mining Order-preserving Submatrices under Data Uncertainty: A Possible-world Approach and Efficient Approximation Methods. ACM Transactions on Database Systems. 47(2). 1–57. 2 indexed citations
14.
Zhu, Wei, Xiaoling Wang, Yuan Ni, & Guotong Xie. (2021). GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3033–3044. 7 indexed citations
15.
Zhu, Wei, Yuan Ni, Xiaoling Wang, & Guotong Xie. (2021). Discovering Better Model Architectures for Medical Query Understanding. 230–237. 5 indexed citations
16.
Wang, Keqiang, et al.. (2016). Bayesian probabilistic multi-topic matrix factorization for rating prediction. International Joint Conference on Artificial Intelligence. 3910–3916. 9 indexed citations
17.
Wang, Xiaoling, et al.. (2015). Review on trajectory data compression. Huadong Shifan Daxue xuebao. Ziran kexue ban. 2015(5). 61. 4 indexed citations
18.
Wang, Xiaoling. (2009). Progress of Study on the Interaction between the Implicit and Explicit Cognition in Motor Skills. Journal of Tianjin University Science and Technology. 1 indexed citations
19.
Wang, Xiaoling, et al.. (2005). Auto-expanded Multi Query Examples Technology in content-based Image Retrieval. Journal of Southeast University. 21(3). 287–292. 1 indexed citations
20.
Wang, Xiaoling, Kun Yue, Joshua Zhexue Huang, & Aoying Zhou. (2004). Service selection in dynamic demand-driven Web services. 376–383. 14 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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