Yanchi Liu

6.4k total citations · 5 hit papers
87 papers, 4.1k citations indexed

About

Yanchi Liu is a scholar working on Artificial Intelligence, Information Systems and Transportation. According to data from OpenAlex, Yanchi Liu has authored 87 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 36 papers in Information Systems and 24 papers in Transportation. Recurrent topics in Yanchi Liu's work include Recommender Systems and Techniques (32 papers), Human Mobility and Location-Based Analysis (23 papers) and Advanced Graph Neural Networks (17 papers). Yanchi Liu is often cited by papers focused on Recommender Systems and Techniques (32 papers), Human Mobility and Location-Based Analysis (23 papers) and Advanced Graph Neural Networks (17 papers). Yanchi Liu collaborates with scholars based in United States, China and Australia. Yanchi Liu's co-authors include Hui Xiong, Zhongmou Li, Junjie Wu, Pengpeng Zhao, Victor S. Sheng, Xuedong Gao, Fuzhen Zhuang, Xiaofang Zhou, Jiajie Xu and Yu Zheng and has published in prestigious journals such as Journal of Cleaner Production, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Yanchi Liu

82 papers receiving 4.0k citations

Hit Papers

5 papers align trajectories

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.

Understanding of Internal Clustering Validation Measures

2010 632 citations Yanchi Liu, Hui Xiong et al. profile →
Urban computing with taxicabs

2011 397 citations Yanchi Liu et al. profile →
Graph Contextualized Self-Attention Network for Session-based Recommendation

2019 356 citations Chengfeng Xu, Pengpeng Zhao et al. profile →
Sequential Recommender System based on Hierarchical Attention Networks

2018 236 citations Fuzhen Zhuang, Yanchi Liu et al. profile →
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

2020 210 citations Pengpeng Zhao, Anjing Luo et al. IEEE Transactions on Knowledge and Data Engineering profile →

Peers

Countries citing papers authored by Yanchi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yanchi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanchi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanchi Liu. A scholar is included among the top collaborators of Yanchi 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 Yanchi Liu. Yanchi Liu 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

#	Work	Indexed citations
1	Large Language Models Can Be Contextual Privacy Protection Learners 2024 ·Yijia Xiao, (unknown), Yushi Bai, (unknown), Xianjun Yang, Xiao Luo, (unknown), Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng	8
2	Uncertainty Quantification for In-Context Learning of Large Language Models 2024 ·Ling Chen, Xujiang Zhao, Xuchao Zhang, (unknown), Yanchi Liu, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Liang Zhao, Haifeng Chen	5
3	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration 2024 ·(unknown), (unknown), Suhang Wang, (unknown), Yanchi Liu, (unknown), Haifeng Chen	4
4	Interpretable Imitation Learning with Dynamic Causal Relations 2024 ·Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, X. D. Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen	0
5	Do Human Assertions Really Adhere Strictly to Norms? The Effect of Threatening Content in Information on Personalized Norm Perception 2024 ·Behavioral Sciences ·(unknown), (unknown), Jia-Hui Huang, Yanchi Liu, Lei Mo	0
6	Quaternion-based graph convolution network for recommendation 2023 ·World Wide Web ·(unknown), Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou	1
7	Learnable Model Augmentation Contrastive Learning for Sequential Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Pengpeng Zhao, (unknown), Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou	3
8	Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou	27
9	Incremental Causal Graph Learning for Online Root Cause Analysis 2023 ·Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen	11
10	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations 2023 ·arXiv (Cornell University) ·Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, X. D. Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen	1
11	Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation 2023 ·ACM Transactions on Knowledge Discovery from Data ·(unknown), (unknown), Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou	8
12	Study of the orthographic neighborhood frequency effect on Chinese compound characters 2023 ·Reading and Writing ·Yanchi Liu, (unknown), Yuman Zhang, (unknown), (unknown), (unknown), Lei Mo	1
13	Sequential Recommendation with Probabilistic Logical Reasoning 2023 ·(unknown), Pengpeng Zhao, (unknown), Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao	4
14	Time Series Contrastive Learning with Information-Aware Augmentations 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang	47
15	Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning 2022 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong	4
16	Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching 2021 ·CityU Scholars ·Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong	8
17	Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification 2020 ·Neural Networks ·Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, (unknown), Qing He	8
18	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation breakdown → 2020 ·IEEE Transactions on Knowledge and Data Engineering ·Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou	210
19	Inductive and Unsupervised Representation Learning on Graph Structured Objects 2020 ·International Conference on Learning Representations ·Lichen Wang, Bo Zong, (unknown), Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu	6
20	Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation 2019 ·IEEE Transactions on Knowledge and Data Engineering ·Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou	21

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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