Qi Ju
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Graph Neural Networks
- Domain Adaptation and Few-Shot Learning
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 10
- Topic Modeling 9
- Speech Recognition and Synthesis 3
- Text Readability and Simplification 3
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- Multimodal Machine Learning Applications 2
- Co-authors
- Zhe Zhao (5 shared papers)Weijie Liu (4 shared papers)Peng Zhou (2 shared papers)Zhiruo Wang (2 shared papers)Ping Wang (1 shared paper)Shen Huang (4 shared papers)Bojie Hu (3 shared papers)Ruijia Wang (1 shared paper)
In The Last Decade
Qi Ju
22 papers receiving 991 citations
Qi Ju's Hit Papers
Peers
Comparison fields: 5 of 102
- Artificial Intelligence 785
- Computer Vision and Pattern Recognition 244
- Information Systems 96
- Management Science and Operations Research 47
- Signal Processing 36
Countries citing papers authored by Qi Ju
This map shows the geographic impact of Qi Ju'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 Qi Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Ju more than expected).
Fields of papers citing papers by Qi Ju
This network shows the impact of papers produced by Qi Ju. 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 Qi Ju. The network helps show where Qi Ju may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | K-BERT: Enabling Language Representation with Knowledge Graph Hit paper breakdown → | 2020 | 456 |
| 2 | 2020 | 176 | |
| 3 | 2021 | 89 | |
| 4 | 2019 | 55 | |
| 5 | 2021 | 49 | |
| 6 | 2020 | 36 | |
| 7 | 2020 | 36 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 10 | |
| 13 | An Improved Harris Corner Detection Algorithm | 2015 | 6 |
| 14 | 2021 | 5 | |
| 15 | 2021 | 4 | |
| 16 | Modeling Topic Dependencies in Hierarchical Text Categorization | 2012 | 3 |
| 17 | 2019 | 3 | |
| 18 | 2020 | 2 | |
| 19 | Lightweight Parsing of Natural Language Metadata | 2009 | 2 |
| 20 | 2023 | 1 |
About Qi Ju
Qi Ju is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oceanography, Molecular Biology and Ecology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Marine and coastal ecosystems (4 papers), Microbial Community Ecology and Physiology (3 papers), Speech Recognition and Synthesis (3 papers), Text Readability and Simplification (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Artificial Intelligence (785 citations), Computer Vision and Pattern Recognition (244 citations), Information Systems (96 citations), Management Science and Operations Research (47 citations) and Signal Processing (36 citations). Qi Ju has collaborated with scholars based in China, Hong Kong and Italy. Frequent co-authors include Zhe Zhao, Weijie Liu, Peng Zhou, Zhiruo Wang, Ping Wang, Shen Huang, Bojie Hu, Ruijia Wang, Xing Xie and Xiao Wang. Their work appears in journals such as International Journal of Pharmaceutics, The Science of The Total Environment, BMC Oral Health, IEEE Systems Journal and IEEE Transactions on Neural Networks and Learning Systems.
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.