Yiding Liu

1.1k total citations
25 papers, 664 citations indexed

About

Yiding Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yiding Liu has authored 25 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yiding Liu's work include Topic Modeling (9 papers), Recommender Systems and Techniques (7 papers) and Multimodal Machine Learning Applications (6 papers). Yiding Liu is often cited by papers focused on Topic Modeling (9 papers), Recommender Systems and Techniques (7 papers) and Multimodal Machine Learning Applications (6 papers). Yiding Liu collaborates with scholars based in China, Singapore and Hong Kong. Yiding Liu's co-authors include Gao Cong, Tuan-Anh Nguyen Pham, Quan Yuan, Shuaiqiang Wang, Dawei Yin, Chang Tang, Lixin Zou, Yulong Gu, Zhuoye Ding and Cheng Long and has published in prestigious journals such as Sensors, Frontiers in Psychology and Proceedings of the VLDB Endowment.

In The Last Decade

Yiding Liu

23 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiding Liu China 13 362 297 178 131 113 25 664
Zijun Yao United States 10 445 1.2× 158 0.5× 555 3.1× 112 0.9× 197 1.7× 25 855
Wuman Luo Hong Kong 8 124 0.3× 257 0.9× 145 0.8× 78 0.6× 317 2.8× 17 582
Chuishi Meng United States 12 121 0.3× 415 1.4× 246 1.4× 49 0.4× 82 0.7× 20 825
Bradley Sturt United States 7 497 1.4× 517 1.7× 281 1.6× 82 0.6× 25 0.2× 9 1000
Jai E. Jung South Korea 14 142 0.4× 167 0.6× 65 0.4× 127 1.0× 60 0.5× 23 562
Farshad Hakimpour Iran 13 265 0.7× 296 1.0× 32 0.2× 39 0.3× 62 0.5× 45 539
Ko Fujimura Japan 11 315 0.9× 176 0.6× 279 1.6× 121 0.9× 180 1.6× 18 637
Konstantinos Mastakas Greece 8 211 0.6× 78 0.3× 210 1.2× 88 0.7× 110 1.0× 9 673
Shenggong Ji China 14 67 0.2× 148 0.5× 128 0.7× 57 0.4× 37 0.3× 21 520

Countries citing papers authored by Yiding Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yiding Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiding Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yiding Liu. A scholar is included among the top collaborators of Yiding Liu 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 Yiding Liu. Yiding Liu 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.
Ai, Qingyao, Hongning Wang, Yiding Liu, et al.. (2025). Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. 4386–4395. 3 indexed citations
4.
Liu, Yiding, Qingyao Ai, Zhijing Wu, et al.. (2024). Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. 48–58. 2 indexed citations
5.
Zhang, Jiankun, Pengfei He, Yiding Liu, et al.. (2024). The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). 4505–4524. 27 indexed citations
6.
Liu, Yiding, Qingyao Ai, Haitao Li, et al.. (2023). I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. 441–451. 3 indexed citations
7.
Zhao, Xiangyu, Muyang Li, Minghao Zhao, et al.. (2023). SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Transactions on Information Systems. 42(3). 1–23. 16 indexed citations
8.
Zhang, Qianru, Zheng Wang, Cheng Long, et al.. (2023). Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. 246–258. 12 indexed citations
9.
Zou, Lixin, Yiding Liu, Hengyi Cai, et al.. (2022). Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Transactions on the Web. 17(1). 1–36. 10 indexed citations
10.
Dong, Qian, Yiding Liu, Suqi Cheng, et al.. (2022). Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1490–1501. 6 indexed citations
11.
Liu, Yiding, et al.. (2022). University-industry collaboration: The impact of postdoctoral workstations on labor investment efficiency. Frontiers in Psychology. 13. 955935–955935. 1 indexed citations
12.
Chen, Yile, Xiucheng Li, Gao Cong, et al.. (2021). Robust Road Network Representation Learning. 211–220. 41 indexed citations
13.
Wu, Ziming, Qianyao Xu, Yiding Liu, et al.. (2021). Exploring Designers’ Practice of Online Example Management for Supporting Mobile UI Design. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–12. 3 indexed citations
14.
Zou, Lixin, Yiding Liu, Wenwen Ye, et al.. (2021). Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. arXiv (Cornell University). 275–284. 35 indexed citations
15.
Wang, Zheng, Cheng Long, Gao Cong, & Yiding Liu. (2020). Efficient and effective similar subtrajectory search with deep reinforcement learning. Proceedings of the VLDB Endowment. 13(12). 2312–2325. 24 indexed citations
16.
Liu, Yiding, et al.. (2020). Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. 2621–2628. 37 indexed citations
17.
Gu, Yulong, Zhuoye Ding, Shuaiqiang Wang, et al.. (2020). Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. 2493–2500. 58 indexed citations
18.
Liu, Yiding, Tuan-Anh Nguyen Pham, Gao Cong, & Quan Yuan. (2017). An experimental evaluation of point-of-interest recommendation in location-based social networks. Proceedings of the VLDB Endowment. 10(10). 1010–1021. 214 indexed citations
19.
Zhao, Kaiqi, Yiding Liu, Quan Yuan, et al.. (2016). Towards personalized maps. Proceedings of the VLDB Endowment. 9(13). 1545–1548. 14 indexed citations
20.
Lu, Jianfeng, James Joshi, Lei Jin, & Yiding Liu. (2014). Towards complexity analysis of User Authorization Query problem in RBAC. Computers & Security. 48. 116–130. 7 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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