Junqi Jin
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
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- Advanced Image and Video Retrieval Techniques
- Image and Video Quality Assessment
- Advanced Neural Network Applications
Papers in
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- Video Analysis and Summarization 2
- Image and Video Quality Assessment 2
- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 2
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- Data Stream Mining Techniques 2
- Co-authors
- Kun Gai (3 shared papers)Han Li (2 shared papers)Xiaoqiang Zhu (1 shared paper)Xiao Ma (1 shared paper)Zhu Han (1 shared paper)Guorui Zhou (1 shared paper)Yanghui Yan (1 shared paper)Ying Fan (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (2 papers)Materials (1 paper)Journal of Nondestructive Evaluation (1 paper)Acta Biomaterialia (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junqi Jin
10 papers receiving 1.7k citations
Junqi Jin's Hit Papers
Peers
Comparison fields: 5 of 99
- Information Systems 1.1k
- Computer Vision and Pattern Recognition 769
- Artificial Intelligence 785
- Management Science and Operations Research 260
- Media Technology 124
Countries citing papers authored by Junqi Jin
This map shows the geographic impact of Junqi Jin'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 Junqi Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqi Jin more than expected).
Fields of papers citing papers by Junqi Jin
This network shows the impact of papers produced by Junqi Jin. 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 Junqi Jin. The network helps show where Junqi Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junqi Jin, 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 | Deep Interest Network for Click-Through Rate Prediction Hit paper breakdown → | 2018 | 1260 |
| 2 | 2014 | 260 | |
| 3 | 2016 | 137 | |
| 4 | 2022 | 34 | |
| 5 | 2018 | 20 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 6 | |
| 8 | 2023 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2023 | 0 | |
| 12 | 2023 | 0 |
About Junqi Jin
Junqi Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Automotive Engineering, Civil and Structural Engineering and Ocean Engineering, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (2 papers), Data Stream Mining Techniques (2 papers), Video Analysis and Summarization (2 papers), Image and Video Quality Assessment (2 papers), Geophysical Methods and Applications (2 papers), Non-Destructive Testing Techniques (2 papers), Advanced Neural Network Applications (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Information Systems (1.1k citations), Computer Vision and Pattern Recognition (769 citations), Artificial Intelligence (785 citations), Management Science and Operations Research (260 citations) and Media Technology (124 citations). Junqi Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kun Gai, Han Li, Xiaoqiang Zhu, Xiao Ma, Zhu Han, Guorui Zhou, Yanghui Yan, Ying Fan, Changshui Zhang and Kun Fu. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Materials, Journal of Nondestructive Evaluation, Acta Biomaterialia and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.