Lujun Li
Impact in
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- Risk and Portfolio Optimization
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- Speech and Audio Processing
- Music and Audio Processing
Papers in ⓘ
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- Domain Adaptation and Few-Shot Learning 5
- Speech Recognition and Synthesis 4
- Semantic Web and Ontologies 1
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- Advanced Image and Video Retrieval Techniques 5
- Advanced Neural Network Applications 5
- Co-authors
- Jingping Yang (1 shared paper)Ruodu Wang (1 shared paper)Gerhard Rigoll (4 shared papers)Zhe Jin (2 shared papers)Yahan Yang (2 shared papers)Zhengxing Sun (1 shared paper)Xin Niu (1 shared paper)Anbang Yao (1 shared paper)
In The Last Decade
Lujun Li
15 papers receiving 125 citations
Peers
Comparison fields: 5 of 40
- Management Science and Operations Research 35
- Signal Processing 30
- Computer Vision and Pattern Recognition 41
- Artificial Intelligence 51
- Finance 12
Countries citing papers authored by Lujun Li
This map shows the geographic impact of Lujun Li'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 Lujun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lujun Li more than expected).
Fields of papers citing papers by Lujun Li
This network shows the impact of papers produced by Lujun Li. 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 Lujun Li. The network helps show where Lujun Li may publish in the future.
Co-authors
The 14 scholars most cited alongside Lujun Li, 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 | 2018 | 36 | |
| 2 | 2023 | 13 | |
| 3 | 2021 | 13 | |
| 4 | 2024 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 5 | |
| 11 | Explicit Connection Distillation | 2021 | 3 |
| 12 | 2025 | 2 | |
| 13 | 2021 | 2 | |
| 14 | Ordering strategy of short life-cycle products based on the demand forecasting | 2013 | 1 |
| 15 | 2016 | 1 |
About Lujun Li
Lujun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Management Information Systems, having authored 15 papers that have together received 126 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Speech Recognition and Synthesis (4 papers), Music and Audio Processing (4 papers), Advanced Adaptive Filtering Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Management Science and Operations Research (35 citations), Signal Processing (30 citations), Computer Vision and Pattern Recognition (41 citations), Artificial Intelligence (51 citations) and Finance (12 citations). Lujun Li has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Jingping Yang, Ruodu Wang, Gerhard Rigoll, Zhe Jin, Yahan Yang, Zhengxing Sun, Xin Niu, Anbang Yao, Yikai Wang and Dongsheng Li. Their work appears in journals such as Applied Sciences, SIAM Journal on Financial Mathematics, Electronics, IEEE Access and EURASIP Journal on Audio Speech and Music Processing.
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.