Hao Wu

3.3k total citations
168 papers, 2.2k citations indexed

About

Hao Wu is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hao Wu has authored 168 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Information Systems, 62 papers in Artificial Intelligence and 61 papers in Computer Networks and Communications. Recurrent topics in Hao Wu's work include Recommender Systems and Techniques (36 papers), Context-Aware Activity Recognition Systems (32 papers) and Caching and Content Delivery (23 papers). Hao Wu is often cited by papers focused on Recommender Systems and Techniques (36 papers), Context-Aware Activity Recognition Systems (32 papers) and Caching and Content Delivery (23 papers). Hao Wu collaborates with scholars based in China, Australia and United States. Hao Wu's co-authors include Lei Zhang, Kun Yue, Jun He, Aiguo Song, Ching‐Hsien Hsu, Yijian Pei, Bo Li, Xin Wang, Binbin Zhang and Wenbo Huang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hao Wu

147 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hao Wu China 28 867 795 791 772 215 168 2.2k
Yang Cao China 14 692 0.8× 370 0.5× 814 1.0× 780 1.0× 89 0.4× 72 2.2k
Marco Mamei Italy 30 383 0.4× 437 0.5× 517 0.7× 1.1k 1.4× 103 0.5× 156 2.4k
Mirko Viroli Italy 29 657 0.8× 242 0.3× 1.2k 1.5× 1.6k 2.0× 176 0.8× 225 2.9k
Fei Xue China 17 741 0.9× 310 0.4× 709 0.9× 749 1.0× 67 0.3× 65 1.9k
Shojiro Nishio Japan 25 649 0.7× 340 0.4× 569 0.7× 1.4k 1.8× 153 0.7× 326 2.8k
Longzhi Yang United Kingdom 24 463 0.5× 448 0.6× 891 1.1× 467 0.6× 181 0.8× 136 2.0k
Muhammad Bilal South Korea 33 866 1.0× 403 0.5× 714 0.9× 1.7k 2.2× 139 0.6× 197 3.3k
Şahin Albayrak Germany 24 832 1.0× 387 0.5× 781 1.0× 875 1.1× 83 0.4× 272 2.9k
Lo’ai Tawalbeh United States 26 1.2k 1.4× 420 0.5× 758 1.0× 1.5k 1.9× 106 0.5× 115 2.6k
Chuhan Wu China 31 1.7k 1.9× 468 0.6× 2.5k 3.2× 224 0.3× 122 0.6× 107 3.3k

Countries citing papers authored by Hao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Wu

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

All Works

20 of 20 papers shown
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Gong, Miao, et al.. (2025). Knowledge domain and frontier trends of artificial intelligence applied in solid organ transplantation: A visualization analysis. International Journal of Medical Informatics. 195. 105782–105782. 4 indexed citations
3.
Wu, Hao, et al.. (2025). Harnessing the Power of Large Language Model for Effective Web API Recommendation. IEEE Transactions on Industrial Informatics. 21(7). 5360–5370.
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Wu, Hao, et al.. (2025). Truthful mechanism for service utility maximization in edge-enabled metaverse based on NUMA. Future Generation Computer Systems. 174. 108015–108015. 1 indexed citations
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Zhang, Jixian, et al.. (2024). A two-stage budget-feasible mechanism for mobile crowdsensing based on maximum user revenue routing. Future Generation Computer Systems. 161. 201–213. 3 indexed citations
8.
Wu, Hao, Yue Yu, Shadi Ibrahim, et al.. (2024). StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow. SPIRE - Sciences Po Institutional REpository.
9.
Yao, Minghui, et al.. (2024). A sparse diverse-branch large kernel convolutional neural network for human activity recognition using wearables. Applied Soft Computing. 167. 112444–112444. 1 indexed citations
10.
Zhang, Jixian, et al.. (2024). Ordered Submodularity-Based Value Maximization of UAV Data Collection in Earthquake Areas. IEEE Transactions on Network Science and Engineering. 11(5). 4886–4897. 7 indexed citations
11.
Zhang, Lei, et al.. (2024). RepMobile: A MobileNet-Like Network With Structural Reparameterization for Sensor-Based Human Activity Recognition. IEEE Sensors Journal. 24(15). 24224–24237. 2 indexed citations
12.
Zhang, Lei, et al.. (2024). Beyond Grids: Scaling Up Continuous Kernels via Adaptive Point Representations for Sensor-Based Human Activity Recognition. IEEE Sensors Journal. 24(15). 24211–24223. 1 indexed citations
13.
Wu, Hao, et al.. (2023). An intelligent remote sensing image quality inspection system. IET Image Processing. 18(3). 678–693. 1 indexed citations
14.
Li, Jiahui, et al.. (2023). Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning. IEEE Transactions on Services Computing. 17(2). 509–523. 7 indexed citations
15.
Wu, Hao, et al.. (2023). Learning metric space with distillation for large-scale multi-label text classification. Neural Computing and Applications. 35(15). 11445–11458. 3 indexed citations
16.
Tang, Qian, et al.. (2023). Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation. Knowledge-Based Systems. 279. 110935–110935. 4 indexed citations
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Lin, Youfang, Haomin Wen, Yunxiao Liu, et al.. (2022). Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows. IEEE Transactions on Intelligent Transportation Systems. 23(11). 20202–20216. 11 indexed citations
19.
Wang, Xin, Xiao Liu, Jin Liu, & Hao Wu. (2021). Relational Graph Neural Network with Neighbor Interactions for Bundle Recommendation Service. 167–172. 11 indexed citations
20.

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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