Meng Hao

1.4k total citations · 1 hit paper
48 papers, 945 citations indexed

About

Meng Hao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Meng Hao has authored 48 papers receiving a total of 945 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Meng Hao's work include Privacy-Preserving Technologies in Data (19 papers), Cryptography and Data Security (17 papers) and Stochastic Gradient Optimization Techniques (9 papers). Meng Hao is often cited by papers focused on Privacy-Preserving Technologies in Data (19 papers), Cryptography and Data Security (17 papers) and Stochastic Gradient Optimization Techniques (9 papers). Meng Hao collaborates with scholars based in China, Singapore and Hong Kong. Meng Hao's co-authors include Hongwei Li, Guowen Xu, Haomiao Yang, Sen Liu, Xizhao Luo, Rui Zhou, Mingjie Tang, Tianwei Zhang, Zhe Liu and Yang Fu and has published in prestigious journals such as IEEE Transactions on Industrial Informatics, Neurocomputing and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Meng Hao

43 papers receiving 933 citations

Hit 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.

Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence

2019 413 citations Meng Hao, Hongwei Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Meng Hao China	13	673	151	138	126	125	48	945
Gaoyang Liu China	15	417 0.6×	96 0.6×	137 1.0×	133 1.1×	102 0.8×	40	677
Yuxi Fan China	4	588 0.9×	134 0.9×	157 1.1×	125 1.0×	58 0.5×	7	892
Hangyu Zhu China	7	682 1.0×	88 0.6×	119 0.9×	87 0.7×	107 0.9×	13	806
Yuanbo Xu China	18	279 0.4×	70 0.5×	115 0.8×	304 2.4×	113 0.9×	49	716
Xuebin Ren China	15	541 0.8×	153 1.0×	167 1.2×	132 1.0×	63 0.5×	49	770
Liyue Fan United States	12	576 0.9×	135 0.9×	131 0.9×	84 0.7×	73 0.6×	39	794
Zuobin Xiong United States	10	395 0.6×	71 0.5×	120 0.9×	80 0.6×	137 1.1×	21	599
Qinglei Kong China	15	374 0.6×	381 2.5×	269 1.9×	202 1.6×	67 0.5×	35	797
Zhidan Liu China	14	178 0.3×	119 0.8×	107 0.8×	57 0.5×	75 0.6×	38	573

Countries citing papers authored by Meng Hao

Since Specialization

Citations

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

Fields of papers citing papers by Meng Hao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Hao

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

1.

Zhang, Cong, Yu Chen, Weiran Liu, et al.. (2024). Unbalanced Private Set Union with Reduced Computation and Communication. 1434–1447. 2 indexed citations

2.

Li, Hongwei, et al.. (2024). Stealthy Targeted Backdoor Attacks Against Image Captioning. IEEE Transactions on Information Forensics and Security. 19. 5655–5667. 9 indexed citations

3.

Li, Hongwei, et al.. (2024). Efficient and Privacy-Preserving Outsourcing of Gradient Boosting Decision Tree Inference. IEEE Transactions on Services Computing. 17(5). 2334–2348. 2 indexed citations

4.

He, Bin, et al.. (2023). Qualia Role-Based Quantity Relation Extraction for Solving Algebra Story Problems. Computer Modeling in Engineering & Sciences. 136(1). 403–419. 2 indexed citations

5.

Li, Hongwei, et al.. (2023). Practical and Privacy-Preserving Density-Based Clustering via Shuffling. 50–55.

6.

Liu, Yan‐Jun, et al.. (2023). ESA-FedGNN: Efficient secure aggregation for federated graph neural networks. Peer-to-Peer Networking and Applications. 16(2). 1257–1269. 6 indexed citations

7.

Hao, Meng, Can Li, Lan Ma, et al.. (2023). Lyophilized apoptotic vesicle-encapsulated adhesive hydrogel sponge as a rapid hemostat for traumatic hemorrhage in coagulopathy. Journal of Nanobiotechnology. 21(1). 407–407. 13 indexed citations

8.

Li, Hongwei, et al.. (2023). Membership Inference Attacks Against the Graph Classification. 6729–6734. 1 indexed citations

9.

Hao, Meng, Xue Liang, Bin He, & Xinguo Yu. (2022). Prompt-Based Missing Entity Recovery for Solving Arithmetic Word Problems. 227–230.

10.

Li, Hongwei, et al.. (2022). PriVDT: An Efficient Two-Party Cryptographic Framework for Vertical Decision Trees. IEEE Transactions on Information Forensics and Security. 18. 1006–1021. 18 indexed citations

11.

Sun, Peipei, et al.. (2021). Analysis and compensation of lateral chromatic aberration of structured light 3D measurement system. Optics Communications. 488. 126871–126871. 2 indexed citations

12.

Hao, Meng, Hao Wu, & Xinguo Yu. (2021). The Context-Oriented System Based on ELECTRA for Solving Math Word Problem. 976–981.

13.

Zhou, Rui, et al.. (2019). FreeTrack: Device-Free Human Tracking With Deep Neural Networks and Particle Filtering. IEEE Systems Journal. 14(2). 2990–3000. 20 indexed citations

14.

Hao, Meng, Hongwei Li, Guowen Xu, Sen Liu, & Haomiao Yang. (2019). Towards Efficient and Privacy-Preserving Federated Deep Learning. 1–6. 134 indexed citations

15.

Wei, Xin, et al.. (2018). A survey of data-driven approach on multimedia QoE evaluation. Frontiers of Computer Science. 12(6). 1060–1075. 8 indexed citations

16.

Zhou, Rui, Meng Hao, Xiang Lu, Mingjie Tang, & Yang Fu. (2018). Device-Free Localization Based on CSI Fingerprints and Deep Neural Networks. 48 indexed citations

17.

Hao, Meng, et al.. (2016). QoE prediction model for IPTV based on machine learning. 2. 1–5. 5 indexed citations

18.

Liu, Qifeng, et al.. (2016). Improved AdaBoost model for user's QoE in imbalanced dataset. 2. 1–5. 1 indexed citations

19.

Hao, Meng. (2007). A Method of Automatic Selection for Software Design Patterns. Computer Technology and Development. 1 indexed citations

20.

Hao, Meng. (2006). Research on hierarchical inter-connectivity among multi-scale representations from GIS feature. Journal of Hunan University of Science & Technology. 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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