Debin Liu

778 total citations · 1 hit paper
34 papers, 357 citations indexed

About

Debin Liu is a scholar working on Artificial Intelligence, Information Systems and Computational Mathematics. According to data from OpenAlex, Debin Liu has authored 34 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computational Mathematics. Recurrent topics in Debin Liu's work include Tensor decomposition and applications (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Debin Liu is often cited by papers focused on Tensor decomposition and applications (6 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (4 papers). Debin Liu collaborates with scholars based in China, United States and Canada. Debin Liu's co-authors include L. Jean Camp, Laurence T. Yang, Jean Camp, Xiaofeng Wang, Mi Lu, Xianjun Deng, Shan Jin, Zhi Zhou, Yijun Mo and Zaiwen Wen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Communications Surveys & Tutorials.

In The Last Decade

Debin Liu

29 papers receiving 343 citations

Hit Papers

align trajectories sort by overperformance

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.

Panther: Practical Secure Two-Party Neural Network Inference

2025 18 citations Debin Liu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Debin Liu China	12	127	122	74	44	42	34	357
Ho-Jin Choi South Korea	12	158 1.2×	142 1.2×	45 0.6×	49 1.1×	56 1.3×	88	476
Feng Liang China	11	263 2.1×	272 2.2×	127 1.7×	31 0.7×	61 1.5×	39	564
Kejing He China	12	146 1.1×	106 0.9×	76 1.0×	32 0.7×	9 0.2×	46	354
Mustafa Abdul Salam Egypt	13	245 1.9×	85 0.7×	69 0.9×	44 1.0×	74 1.8×	37	523
Shaojie Yang China	9	151 1.2×	30 0.2×	58 0.8×	45 1.0×	32 0.8×	19	346
Zhuzhu Wang China	11	129 1.0×	77 0.6×	74 1.0×	89 2.0×	78 1.9×	25	371
Quan Lin China	12	180 1.4×	184 1.5×	29 0.4×	58 1.3×	12 0.3×	27	455
Jiangtao Ma China	11	158 1.2×	68 0.6×	31 0.4×	52 1.2×	30 0.7×	38	387
Qianying Zhang China	8	98 0.8×	59 0.5×	41 0.6×	28 0.6×	70 1.7×	35	335

Countries citing papers authored by Debin Liu

Since Specialization

Citations

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

Fields of papers citing papers by Debin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debin Liu

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

Zhang, Qingchen, et al.. (2025). Zero-Shot Image Recognition via Learning Dual Prototype Accordance Across Meta-Domains. IEEE Transactions on Image Processing. 34. 6361–6373.

Yang, Laurence T., et al.. (2025). Bayesian Nonnegative Tensor Completion With Automatic Rank Determination. IEEE Transactions on Image Processing. 34. 2036–2051.

Liu, Debin, et al.. (2024). Tensor-Empowered Hardware-Friendly Lightweight Deep Neural Networks for Vehicular Edge Computing. IEEE Transactions on Consumer Electronics. 71(1). 2175–2185. 1 indexed citations

Yang, Laurence T., et al.. (2024). Lightweight Tensor-Enabled GRU for Trustworthy and Communication Efficient Federated Learning in Industrial IoT. IEEE Transactions on Industrial Informatics. 21(3). 2043–2052. 1 indexed citations

Liu, Debin, et al.. (2024). Multi-Tree Compact Hierarchical Tensor Recurrent Neural Networks for Intelligent Transportation System Edge Devices. IEEE Transactions on Intelligent Transportation Systems. 25(8). 8719–8729. 3 indexed citations

Yang, Laurence T., et al.. (2024). A Multi-Modal Tensor Ring Decomposition for Communication-Efficient and Trustworthy Federated Learning for ITS in COVID-19 Scenario. IEEE Transactions on Intelligent Transportation Systems. 25(5). 3535–3547. 4 indexed citations

Liu, Debin, et al.. (2024). Dual-Grained Lightweight Strategy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 10228–10245. 3 indexed citations

Liu, Debin & Yunmei Shi. (2024). Joint extraction model for overlapping entity relations in legal documents. 157–157.

Yang, Laurence T., et al.. (2024). Sparse Bayesian Tensor Completion for Data Recovery in Intelligent IoT Systems. IEEE Internet of Things Journal. 11(15). 25682–25693. 4 indexed citations

10.

Liu, Debin, et al.. (2023). An Efficient Tensor-Based Transformer for Industrial Internet of Things. IEEE Transactions on Network Science and Engineering. 11(3). 2574–2585. 2 indexed citations

11.

Yang, Laurence T., et al.. (2023). Tensor-Enabled Communication-Efficient and Trustworthy Federated Learning for Heterogeneous Intelligent Space–Air–Ground-Integrated IoT. IEEE Internet of Things Journal. 10(23). 20285–20296. 8 indexed citations

12.

Yang, Laurence T., et al.. (2023). Tensor-Empowered LSTM for Communication-Efficient and Privacy-Enhanced Cognitive Federated Learning in Intelligent Transportation Systems. ACM Transactions on Multimedia Computing Communications and Applications. 20(2). 1–21. 1 indexed citations

13.

Yang, Laurence T., et al.. (2023). Tensor-Empowered Federated Learning for Cyber-Physical-Social Computing and Communication Systems. IEEE Communications Surveys & Tutorials. 25(3). 1909–1940. 20 indexed citations

14.

Liu, Debin, et al.. (2022). TT-TSVD: A Multi-modal Tensor Train Decomposition with Its Application in Convolutional Neural Networks for Smart Healthcare. ACM Transactions on Multimedia Computing Communications and Applications. 18(1s). 1–17. 12 indexed citations

15.

Liu, Debin, et al.. (2022). Lightweight Tensor Deep Computation Model With Its Application in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2678–2687. 9 indexed citations

16.

Yang, Laurence T., et al.. (2022). A Tensor-Based Truthful Incentive Mechanism for Blockchain-Enabled Space-Air-Ground Integrated Vehicular Crowdsensing. IEEE Transactions on Intelligent Transportation Systems. 23(3). 2853–2862. 23 indexed citations

17.

Liu, Debin, et al.. (2021). A survey of supernumerary robotic limbs. Journal of ZheJiang University (Engineering Science). 55(2). 251–258. 1 indexed citations

18.

Chen, Qingxiao, et al.. (2020). Clinical decision support model for tooth extraction therapy derived from electronic dental records. Journal of Prosthetic Dentistry. 126(1). 83–90. 25 indexed citations

19.

Liu, Debin, et al.. (2007). Mental Models of Computer Security Risks.. 34 indexed citations

20.

Liu, Debin & L. Jean Camp. (2006). Proof of Work can Work.. 21 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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