Lu Hou
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- IoT and Edge/Fog Computing 17
- Information Systems top 2%
- Blockchain Technology Applications and Security 7
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- Multimodal Machine Learning Applications 4
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- IoT Networks and Protocols 10
- Vehicular Ad Hoc Networks (VANETs) 5
- Advanced Wireless Communication Technologies 3
- Artificial Intelligence top 5%
- Topic Modeling 5
- Natural Language Processing Techniques 5
- Co-authors
- Kan ZhengLei LeiXiong XiongRongtao XuQihao ZhouPeriklis ChatzimisiosXianbin WangXin Jiang
- Cited by
- Computer Networks and CommunicationsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- IEEE Internet of Things Journal (5 papers)Computer Communications (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lu Hou
44 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 86
- Computer Networks and Communications 734
- Information Systems 261
- Computer Vision and Pattern Recognition 211
- Electrical and Electronic Engineering 588
- Artificial Intelligence 296
Countries citing papers authored by Lu Hou
This map shows the geographic impact of Lu Hou'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 Lu Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Hou more than expected).
Fields of papers citing papers by Lu Hou
This network shows the impact of papers produced by Lu Hou. 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 Lu Hou. The network helps show where Lu Hou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Hou, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 31 | |
| 10 | 2022 | 2 | |
| 11 | Improved OOD Generalization via Adversarial Training and Pretraing | 2021 | 8 |
| 12 | 2021 | 58 | |
| 13 | DynaBERT: Dynamic BERT with Adaptive Width and Depth | 2020 | 27 |
| 14 | 2020 | 217 | |
| 15 | Analysis of Quantized Models | 2019 | 10 |
| 16 | Normalization Helps Training of Quantized LSTM | 2019 | 15 |
| 17 | 2019 | 16 | |
| 18 | 2015 | 2 | |
| 19 | 2015 | 75 | |
| 20 | A Discuss on Max-Min Algorithm in Fuzzy Synthetic | 2001 | 1 |
About Lu Hou
Lu Hou is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (17 papers), IoT Networks and Protocols (10 papers), Blockchain Technology Applications and Security (7 papers), Topic Modeling (5 papers), Vehicular Ad Hoc Networks (VANETs) (5 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (4 papers) and Advanced Wireless Communication Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (734 citations), Information Systems (261 citations), Computer Vision and Pattern Recognition (211 citations), Electrical and Electronic Engineering (588 citations) and Artificial Intelligence (296 citations). Lu Hou has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Kan Zheng, Lei Lei, Xiong Xiong, Rongtao Xu, Qihao Zhou, Periklis Chatzimisios, Xianbin Wang, Xin Jiang, Lifeng Shang and Hanlin Meng. Their work appears in journals such as IEEE Internet of Things Journal, Computer Communications, IEEE Access, IEEE Network and IEEE Communications Magazine.
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.