Yuhan Liu

412 total citations
27 papers, 216 citations indexed

About

Yuhan Liu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Yuhan Liu has authored 27 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Information Systems and 4 papers in Computer Networks and Communications. Recurrent topics in Yuhan Liu's work include Privacy-Preserving Technologies in Data (5 papers), Topic Modeling (4 papers) and Privacy, Security, and Data Protection (3 papers). Yuhan Liu is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Topic Modeling (4 papers) and Privacy, Security, and Data Protection (3 papers). Yuhan Liu collaborates with scholars based in China, United States and Hong Kong. Yuhan Liu's co-authors include Xingyu Tao, Moumita Das, Peter Kok-Yiu Wong, Jack C.P. Cheng, Keyu Chen, Ruifeng Xu, Jiachen Du, Wei Wang, Jun Gao and Yu Cao and has published in prestigious journals such as Oecologia, Critical Reviews in Food Science and Nutrition and Automation in Construction.

In The Last Decade

Yuhan Liu

19 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuhan Liu China	7	79	61	48	34	32	27	216
Umutcan Şimşek Austria	5	100 1.3×	35 0.6×	28 0.6×	8 0.2×	22 0.7×	10	201
Ana D. López‐Sánchez Spain	9	34 0.4×	29 0.5×	56 1.2×	146 4.3×	26 0.8×	23	268
Henrique Lopes Cardoso Portugal	10	151 1.9×	31 0.5×	6 0.1×	23 0.7×	23 0.7×	61	265
Andries Stam Netherlands	7	47 0.6×	89 1.5×	16 0.3×	43 1.3×	42 1.3×	18	209
Yukiyasu Shimada Japan	7	73 0.9×	39 0.6×	6 0.1×	57 1.7×	18 0.6×	27	226
Naina Chaudhary India	7	34 0.4×	22 0.4×	17 0.4×	9 0.3×	27 0.8×	33	232
Marcela Vegetti Argentina	6	98 1.2×	63 1.0×	7 0.1×	76 2.2×	11 0.3×	19	210
Mathieu Reymond Ireland	5	74 0.9×	13 0.2×	12 0.3×	20 0.6×	29 0.9×	7	198
Ingo Zinnikus Germany	8	93 1.2×	85 1.4×	6 0.1×	20 0.6×	34 1.1×	35	193
Farashazillah Yahya Malaysia	10	42 0.5×	101 1.7×	11 0.2×	11 0.3×	58 1.8×	33	255

Countries citing papers authored by Yuhan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yuhan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhan Liu

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

Liu, Yuhan, et al.. (2026). Cross-omics interpretable neural network for discovery of molecular markers in prostate cancer. Computational Biology and Chemistry. 122. 108879–108879.

Acharya, Jayadev, et al.. (2025). Pauli Measurements Are Not Optimal for Single-Copy Tomography. 718–729.

Liu, Yuhan, et al.. (2025). Human trust effect in remote human–robot collaboration construction task for different level of automation. Advanced Engineering Informatics. 68. 103647–103647. 2 indexed citations

Yang, Bo, et al.. (2025). Role of T cell metabolism in brain tumor development: a genetic and metabolic approach. BMC Neurology. 25(1). 12–12. 1 indexed citations

Liu, Yuhan, et al.. (2025). Biological Knowledge Graph-Enhanced Cancer State Prediction Network with Adjustable Connections. Big Data Mining and Analytics. 8(5). 1174–1188.

Liu, Yuhan, et al.. (2024). Model discrepancy policy optimization for task-oriented dialogue. Computer Speech & Language. 87. 101636–101636.

Liu, Yuhan, et al.. (2024). Towards Building a Faster and Incentive Enabled Privacy-Preserving Proof of Location Scheme from GTOTP. Electronics. 13(8). 1443–1443. 1 indexed citations

Liu, Yuhan, et al.. (2024). The impact of global change factors on the functional genes of soil nitrogen and methane cycles in grassland ecosystems: a meta-analysis. Oecologia. 207(1). 6–6. 1 indexed citations

Liu, Yuhan, et al.. (2023). Intelligent routing algorithm for wireless sensor networks dynamically guided by distributed neural networks. Computer Communications. 207. 100–112. 12 indexed citations

10.

Tao, Xingyu, et al.. (2023). Enhancing BIM security in emergency construction projects using lightweight blockchain-as-a-service. Automation in Construction. 150. 104846–104846. 29 indexed citations

11.

Tao, Xingyu, Yuhan Liu, Peter Kok-Yiu Wong, et al.. (2022). Confidentiality-minded framework for blockchain-based BIM design collaboration. Automation in Construction. 136. 104172–104172. 77 indexed citations

12.

Li, Chunhua, et al.. (2022). SS-LRU. Proceedings of the 59th ACM/IEEE Design Automation Conference. 397–402. 4 indexed citations

13.

Acharya, Jayadev, Clément L. Canonne, Yuhan Liu, Ziteng Sun, & Himanshu Tyagi. (2021). Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition. Neural Information Processing Systems. 34. 2 indexed citations

14.

Acharya, Jayadev, Peter Kairouz, Yuhan Liu, & Ziteng Sun. (2021). Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints. 79–98. 1 indexed citations

15.

Liu, Yuhan & Shiliang Sun. (2021). SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis. International Conference on Machine Learning. 6947–6956.

16.

Gao, Jun, Yuhan Liu, Wei Wang, et al.. (2021). Improving Empathetic Response Generation by Recognizing Emotion Cause in Conversations. 42 indexed citations

17.

Liu, Yuhan, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, & Michael Riley. (2020). Learning discrete distributions: user vs item-level privacy. arXiv (Cornell University). 33. 20965–20976.

18.

Liu, Yuhan, et al.. (2020). 基于循环交互注意力网络的问答立场分析(A Recurrent Interactive Attention Network for Answer Stance Analysis). 698–706. 1 indexed citations

19.

Liu, Yuhan, Xiao Zhang, Maciej Lewenstein, & Shi-Ju Ran. (2018). Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition. arXiv (Cornell University). 3 indexed citations

20.

Liu, Yuhan. (2015). Application of Equal Interval GM(1,1)Model in The Prediction of Mining Subsidence.

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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