Lei Zhao

2.5k total citations
156 papers, 1.4k citations indexed

About

Lei Zhao is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lei Zhao has authored 156 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Artificial Intelligence, 45 papers in Information Systems and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lei Zhao's work include Topic Modeling (25 papers), Advanced Graph Neural Networks (25 papers) and Data Management and Algorithms (25 papers). Lei Zhao is often cited by papers focused on Topic Modeling (25 papers), Advanced Graph Neural Networks (25 papers) and Data Management and Algorithms (25 papers). Lei Zhao collaborates with scholars based in China, Australia and United States. Lei Zhao's co-authors include Guanfeng Liu, Xiaofang Zhou, Jiajie Xu, An Liu, Zhixu Li, Pengpeng Zhao, Weiqing Wang, Hongzhi Yin, An Liu and Wei Chen and has published in prestigious journals such as Advanced Materials, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Lei Zhao

131 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lei Zhao China	21	697	418	282	281	252	156	1.4k
Lidan Shou China	18	479 0.7×	275 0.7×	260 0.9×	227 0.8×	324 1.3×	110	1.2k
An Liu China	21	679 1.0×	535 1.3×	480 1.7×	160 0.6×	202 0.8×	130	1.4k
Bolong Zheng China	20	591 0.8×	421 1.0×	340 1.2×	248 0.9×	592 2.3×	88	1.5k
Hakan Ferhatosmanoğlu United States	21	822 1.2×	425 1.0×	465 1.6×	423 1.5×	584 2.3×	90	2.0k
Da Yan United States	21	599 0.9×	490 1.2×	387 1.4×	779 2.8×	357 1.4×	109	1.5k
Noseong Park South Korea	17	525 0.8×	288 0.7×	307 1.1×	174 0.6×	186 0.7×	84	1.1k
Yonglong Luo China	17	491 0.7×	296 0.7×	257 0.9×	294 1.0×	165 0.7×	110	1.1k
Liang Xiong China	14	543 0.8×	478 1.1×	331 1.2×	299 1.1×	121 0.5×	38	1.3k
Stavros Papadopoulos Greece	24	990 1.4×	353 0.8×	545 1.9×	171 0.6×	360 1.4×	78	1.7k
Toyotaro Suzumura Japan	21	427 0.6×	382 0.9×	553 2.0×	391 1.4×	106 0.4×	101	1.4k

Countries citing papers authored by Lei Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Lei Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Zhao

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

Zhou, Yu, et al.. (2025). Linking HRM Digitalization to Employee Thriving at Work: A Signaling Theory Perspective. Asia Pacific Journal of Human Resources. 64(1).

Zhao, Pengpeng, Lei Zhao, Guanfeng Liu, et al.. (2024). Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 679–691. 1 indexed citations

Zhao, Lei, et al.. (2024). LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Transactions on Knowledge Discovery from Data. 18(7). 1–24. 3 indexed citations

Chen, Wei, et al.. (2024). Inductive Link Prediction for Sequential-emerging Knowledge Graph. abs/1605.06523. 5753–5766.

Zhao, Lei, et al.. (2024). P‐4.2: High‐Precision Human Eye Simulation Device. SID Symposium Digest of Technical Papers. 55(S1). 756–759.

Li, Zhixu, Jiaan Wang, Jianfeng Qu, et al.. (2023). Long-Document Cross-Lingual Summarization. 1084–1092. 6 indexed citations

Zhao, Pengpeng, Guanfeng Liu, Lei Zhao, et al.. (2023). Learnable Model Augmentation Contrastive Learning for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(8). 3963–3976. 3 indexed citations

Pan, Zhicheng, Pingfu Chao, Junhua Fang, et al.. (2023). Garden: a real-time processing framework for continuous top-k trajectory similarity search. Knowledge and Information Systems. 65(9). 3777–3805. 4 indexed citations

Zhao, Pengpeng, Guanfeng Liu, Yanchi Liu, et al.. (2023). Quaternion-based graph convolution network for recommendation. World Wide Web. 26(5). 2835–2854. 1 indexed citations

10.

Qu, Jianfeng, Wen Hua, Zhixu Li, et al.. (2023). Evidence Reasoning and Curriculum Learning for Document-level Relation Extraction. IEEE Transactions on Knowledge and Data Engineering. 1–14. 3 indexed citations

11.

Zhao, Pengpeng, et al.. (2023). Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8192–8205. 1 indexed citations

12.

Yang, Zhe, et al.. (2022). A Two‐Way Update Resource Allocation Strategy in Mobile Edge Computing. Wireless Communications and Mobile Computing. 2022(1).

13.

Liu, An, Yifan Zhang, Xiangliang Zhang, et al.. (2020). Representation Learning With Multi-Level Attention for Activity Trajectory Similarity Computation. IEEE Transactions on Knowledge and Data Engineering. 34(5). 2387–2400. 20 indexed citations

14.

Li, Zhixu, et al.. (2019). A crowd-efficient learning approach for NER based on online encyclopedia. World Wide Web. 23(1). 453–470. 2 indexed citations

15.

Zhao, Pengpeng, et al.. (2019). Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation. IEEE Access. 7. 80644–80650. 11 indexed citations

16.

Zhao, Lei. (2016). The Instructional Design Case of the Enzyme for Students Majoring in Chinese Pharmacy.

17.

Zhao, Lei. (2013). K-Dominant Skyline Computation Using Simplified Presort. Journal of Chinese Computer Systems. 1 indexed citations

18.

Jin, Peiquan, et al.. (2012). Semantics and Modeling of Indoor Moving Objects. 7 indexed citations

19.

Wang, Pu, et al.. (2010). B-CASTLE: An Efficient Publishing Algorithm for K-Anonymizing Data Streams. 132–136. 17 indexed citations

20.

Zhao, Lei. (2004). ANT Colony Algorithm for 0/1 Knapsack Problem. 1 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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