Kaiqi Zhao

1.5k total citations · 1 hit paper
43 papers, 913 citations indexed

About

Kaiqi Zhao is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Kaiqi Zhao has authored 43 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Information Systems and 16 papers in Signal Processing. Recurrent topics in Kaiqi Zhao's work include Data Management and Algorithms (12 papers), Human Mobility and Location-Based Analysis (9 papers) and Recommender Systems and Techniques (8 papers). Kaiqi Zhao is often cited by papers focused on Data Management and Algorithms (12 papers), Human Mobility and Location-Based Analysis (9 papers) and Recommender Systems and Techniques (8 papers). Kaiqi Zhao collaborates with scholars based in New Zealand, China and Singapore. Kaiqi Zhao's co-authors include Gao Cong, Jiamou Liu, Song Yang, Wei Wei, Christian S. Jensen, Xiucheng Li, Shafiq Joty, Zhifeng Bao, Aixin Sun and Kenny Q. Zhu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Sensors Journal and Proceedings of the VLDB Endowment.

In The Last Decade

Kaiqi Zhao

39 papers receiving 897 citations

Hit Papers

align trajectories

Peers

Countries citing papers authored by Kaiqi Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Kaiqi Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaiqi Zhao

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	STrajRAG: Supervised trajectory retrieval augmented generation for next POI recommendation with travel semantics 2025 ·Information Processing & Management ·(unknown), Xiaowen Zhang, Kaiqi Zhao, (unknown), (unknown)	0
2	Short-term POI recommendation with personalized time-weighted latent ranking 2024 ·Discover Computing ·(unknown), Kaiqi Zhao	0
3	Unsupervised Rumor Detection Based on Propagation Tree VAE 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Kaiyu Feng, Kaiqi Zhao, Aiqun Hu, Tao Li	18
4	A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning 2023 ·Kaiqi Zhao, Yitao Chen, (unknown)	2
5	LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs 2023 ·Jialong Liu, (unknown), Jiamou Liu, Kaiqi Zhao, Wu Chen	1
6	WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 ·Proceedings of the ACM on Management of Data ·(unknown), Xin Cao, Yixiang Fang, Kaiqi Zhao, Jianzhong Qi, Gao Cong, Wenjie Zhang	9
7	Contrastive Learning for Signed Bipartite Graphs 2023 ·Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, (unknown), Yifei Wang	12
8	H-Diffu: Hyperbolic Representations for Information Diffusion Prediction 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Shanshan Feng, Kaiqi Zhao, (unknown), Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao	15
9	Cover Trees Revisited: Exploiting Unused Distance and Direction Information 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Zhi-Jie Wang, (unknown), Kaiqi Zhao, Zhe Quan, Bin Yao	0
10	Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting 2021 ·ResearchSpace (University of Auckland) ·Song Yang, Jiamou Liu, Kaiqi Zhao	11
11	A Novel Model for Imbalanced Data Classification 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jian Yin, (unknown), Kaiqi Zhao, Xuan Lin, Zhe Quan, Zhijie Wang	25
12	EdgeRec 2020 ·(unknown), Ziwen Jiang, Yufei Feng, Binbin Hu, Kaiqi Zhao, Qingwen Liu, Wenwu Ou	40
13	LPV: A Log Parser Based on Vectorization for Offline and Online Log Parsing 2020 ·(unknown), Zhe Quan, Zhi-Jie Wang, Kaiqi Zhao, Xiangke Liao	20
14	Knowledge-Enhanced Ensemble Learning for Word Embeddings 2019 ·(unknown), Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu	10
15	KnowledgeNet: Disaggregated and distributed training and serving of deep neural networks 2019 ·(unknown), Yitao Chen, Kaiqi Zhao, Ming Zhao	1
16	Deep Representation Learning for Trajectory Similarity Computation 2018 ·VBN Forskningsportal (Aalborg Universitet) ·Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei	163
17	Topic Exploration in Spatio-Temporal Document Collections 2016 ·Kaiqi Zhao, Lisi Chen, Gao Cong	31
18	Annotating Points of Interest with Geo-tagged Tweets 2016 ·Kaiqi Zhao, Gao Cong, Aixin Sun	14
19	Towards personalized maps 2016 ·Proceedings of the VLDB Endowment ·Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong	14
20	SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews 2015 ·Kaiqi Zhao, Gao Cong, Quan Yuan, Kenny Q. Zhu	49

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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