Lu Hou

2.5k citations
49 papers · 1.5k · h-index 19

Impact in

Papers in

Lu Hou

47 papers receiving 1.4k citations

Peers

Lu Hou
Comparison fields: 5 of 92
  • Computer Networks and Communications 788
  • Information Systems 291
  • Computer Vision and Pattern Recognition 241
  • Electrical and Electronic Engineering 629
  • Artificial Intelligence 327
Replace Rupak Kharel with:
Rupak Kharel United Kingdom
Kewei Sha United States
Xuxun Liu China
Elmustafa Sayed Ali Sudan
José Marcos S. Nogueira Brazil
Fan‐Hsun Tseng Taiwan
Soumya Kanti Datta France
Gopika Premsankar Finland
Guiling Wang United States
Lu Hou relative to Rupak Kharel United Kingdom Rupak Kharel's profile →
Citations per field
00.5×3.5×
Rupak Kharel · 1×
Citations per year

Countries citing papers authored by Lu Hou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Lu Hou Line = papers co-authored together Lu Hou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020226
2 2016137
3 2016124
4 2019122
5 202096
6 201793
7 201583
8 201878
9 202165
10 202245
11 202234
12 202030
13
DynaBERT: Dynamic BERT with Adaptive Width and Depth
202028
14 202126
15 201824
16 202124
17 201621
18 201618
19 202118
20 201718

About Lu Hou

Lu Hou is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 1.5k 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), Vehicular Ad Hoc Networks (VANETs) (5 papers), Natural Language Processing Techniques (5 papers), Multimodal Machine Learning Applications (5 papers), Topic Modeling (5 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Networks and Communications (788 citations), Information Systems (291 citations), Computer Vision and Pattern Recognition (241 citations), Electrical and Electronic Engineering (629 citations) and Artificial Intelligence (327 citations). Lu Hou has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Kan Zheng, Lei Lei, Xiong Xiong, Rongtao Xu, Qihao Zhou, Periklis Chatzimisios, Xianbin Wang, Lifeng Shang, Xin Jiang and Jinyu Xing. Their work appears in journals such as IEEE Internet of Things Journal, Computer Communications, IEEE Network, IEEE Access 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.

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