Jun Huang
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- Image Retrieval and Classification Techniques 8
- Advanced Image and Video Retrieval Techniques 7
- Artificial Intelligence top 1%
- Text and Document Classification Technologies 21
- Imbalanced Data Classification Techniques 6
- Information Systems top 2%
- Spam and Phishing Detection 10
- Web Data Mining and Analysis 8
- Media Technology top 10%
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- Facility Location and Emergency Management 8
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- Machine Learning in Bioinformatics 7
- Journals
- SHILAP Revista de lepidopterología (1 paper)Expert Systems with Applications (1 paper)IEEE Access (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Huang
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Computer Vision and Pattern Recognition 547
- Artificial Intelligence 848
- Information Systems 342
- Media Technology 47
- Computational Mathematics 3
Countries citing papers authored by Jun Huang
This map shows the geographic impact of Jun Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Huang more than expected).
Fields of papers citing papers by Jun Huang
This network shows the impact of papers produced by Jun Huang. 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 Huang. The network helps show where Jun Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Huang, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 14 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2017 | 2 | |
| 14 | Exploration of tunneling-induced surface settlements in soils by the reciprocal theorem | 2015 | 3 |
| 15 | 2013 | 9 | |
| 16 | A novel detecting method of electric shock signal based on wavelet transform and chaotic theory | 2011 | 3 |
| 17 | Simulated experiment on effects of soil bulk density on soil water holding capacity. | 2010 | 13 |
| 18 | Simulated experiment on effect of soil bulk density on soil infiltration capacity. | 2009 | 37 |
| 19 | Hot Targets Enhancement for Color Fusion of Visible and Infrared Images | 2008 | 1 |
| 20 | RECENT DEVELOPMENTS IN CONCEPTUAL/PRELIMINARY DESIGN OPTIMIZATION OF AIRCRAFT | 2000 | 5 |
About Jun Huang
Jun Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Organizational Behavior and Human Resource Management, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (21 papers), Spam and Phishing Detection (10 papers), Image Retrieval and Classification Techniques (8 papers), Web Data Mining and Analysis (8 papers), Facility Location and Emergency Management (8 papers), Machine Learning in Bioinformatics (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (547 citations), Artificial Intelligence (848 citations) and Information Systems (342 citations). Jun Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qingming Huang, Guorong Li, Xindong Wu, Xiao Zheng, Weigang Zhang, Shuhui Wang, Feng Qin, Zhe Xue, Haibo Wang and Liang Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.