Jun Hou

451 citations
30 papers · 139 · h-index 7

Impact in

Papers in

Jun Hou

22 papers receiving 130 citations

Peers

Jun Hou
Comparison fields: 5 of 69
  • Computer Vision and Pattern Recognition 44
  • Artificial Intelligence 57
  • Software 6
  • Media Technology 12
  • Acoustics and Ultrasonics 1
Replace Amal El Fallah-Seghrouchni with:
Amal El Fallah-Seghrouchni France
Nitish Pathak India
Sébastien Laborie France
Ricardo Sousa Portugal
Laura Cristina Lanzarini Argentina
S Abhishek India
Ziyi Guo China
K. P. Kaliyamurthie India
Abdul Syukur Indonesia
Shukang Yin China
Jun Hou relative to Amal El Fallah-Seghrouchni France Amal El Fallah-Seghrouchni's profile →
Citations per field
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Amal El Fallah-Seghrouchni · 1×
Citations per year

Countries citing papers authored by Jun Hou

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun 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 Jun Hou Line = papers co-authored together Jun Hou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202336
2 200921
3 202317
4 202313
5 20227
6 20227
7 20156
8 20215
9 20004
10 20084
11 20093
12 20252
13 20072
14 20182
15 20082
16
The Combination of Cultivating the Ability of Cross-cultural Business Communication and Business English Teaching
20111
17
Web Classification Based on Latent Semantic Indexing
20061
18 20081
19 20231
20 20121

About Jun Hou

Jun Hou is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Water Science and Technology, having authored 30 papers that have together received 139 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Service-Oriented Architecture and Web Services (3 papers), Image Enhancement Techniques (3 papers), Advanced Image Processing Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Computational Techniques and Applications (2 papers), Advanced Clustering Algorithms Research (2 papers) and Privacy-Preserving Technologies in Data (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (44 citations), Artificial Intelligence (57 citations), Software (6 citations), Media Technology (12 citations) and Acoustics and Ultrasonics (1 citation). Jun Hou has collaborated with scholars based in China, Australia and Iran. Frequent co-authors include Qianmu Li, N. Sarshar, Ramin Ranjbarzadeh, Baowen Xu, Wei Zhang, Zhiyong Cui, Junting Wang, Xiufen Ye, Yusong Liu and Richi Nayak. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Multimedia Systems, Expert Systems with Applications, Journal of Hydroinformatics and Journal of Cloud Computing Advances Systems and 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.

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