Liang Hu
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- IoT and Edge/Fog Computing 21
- Advanced Authentication Protocols Security 15
- Distributed and Parallel Computing Systems 12
- Security in Wireless Sensor Networks 12
- Caching and Content Delivery 9
- Information Systems top 1%
- Cloud Computing and Resource Management 16
- Artificial Intelligence top 5%
- Cryptography and Data Security 16
- Advanced Graph Neural Networks 10
- Computer Science Applications top 10%
- Co-authors
- Kuo ZhaoFeng WangGaochao XuKun YangJia ZhaoYan DingJin ZhouXiaohui Wei
- Journals
- Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)Expert Systems with Applications (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Liang Hu
129 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Computer Networks and Communications 582
- Information Systems 476
- Artificial Intelligence 368
- Computer Vision and Pattern Recognition 194
- Computer Science Applications 43
Countries citing papers authored by Liang Hu
This map shows the geographic impact of Liang Hu'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 Liang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Hu more than expected).
Fields of papers citing papers by Liang Hu
This network shows the impact of papers produced by Liang Hu. 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 Liang Hu. The network helps show where Liang Hu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Liang Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 2 | |
| 13 | 2015 | 5 | |
| 14 | 2013 | 19 | |
| 15 | HDFS Based Cloud Data Backup System | 2012 | 0 |
| 16 | 2011 | 0 | |
| 17 | Grid Host Load Prediction Model of Support Vector Regression Optimized by Genetic Algorithm | 2010 | 1 |
| 18 | 2009 | 4 | |
| 19 | Transition from Tradition to Modern──the Analysis of the Characteristics and the Causes about Chinese Family Structure | 2004 | 1 |
| 20 | A modified fuzzy C-means(MFCM) clustering algorithm | 2003 | 1 |
About Liang Hu
Liang Hu is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 139 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (21 papers), Cloud Computing and Resource Management (16 papers), Cryptography and Data Security (16 papers), Advanced Authentication Protocols Security (15 papers), Distributed and Parallel Computing Systems (12 papers), Security in Wireless Sensor Networks (12 papers), Advanced Graph Neural Networks (10 papers) and Caching and Content Delivery (9 papers). The work is most often cited by research in Computer Networks and Communications (582 citations), Information Systems (476 citations) and Artificial Intelligence (368 citations). Liang Hu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Kuo Zhao, Feng Wang, Gaochao Xu, Kun Yang, Jia Zhao, Yan Ding, Jin Zhou, Xiaohui Wei, Jiejun Hu and Jianfeng Chu. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Expert Systems with Applications.
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.