Lujun Li
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
-
- Speech Recognition and Synthesis 9
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 2
- Natural Language Processing Techniques 2
-
- Speech and Audio Processing 9
- Music and Audio Processing 8
- Co-authors
- Gerhard Rigoll (9 shared papers)Ruodu Wang (1 shared paper)Jingping Yang (1 shared paper)Yahan Yang (2 shared papers)Zhe Jin (2 shared papers)Zhengxing Sun (1 shared paper)Xin Niu (1 shared paper)Yikai Wang (1 shared paper)
In The Last Decade
Lujun Li
20 papers receiving 211 citations
Peers
Comparison fields: 5 of 51
- Signal Processing 67
- Artificial Intelligence 112
- Management Science and Operations Research 35
- Computer Vision and Pattern Recognition 57
- 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 15 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 | 2020 | 49 | |
| 2 | 2018 | 36 | |
| 3 | 2023 | 23 | |
| 4 | 2021 | 15 | |
| 5 | 2024 | 15 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 12 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 3 | |
| 14 | Explicit Connection Distillation | 2021 | 3 |
| 15 | 2019 | 3 | |
| 16 | 2021 | 2 | |
| 17 | Ordering strategy of short life-cycle products based on the demand forecasting | 2013 | 1 |
| 18 | 2020 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2016 | 1 |
About Lujun Li
Lujun Li is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Management Science and Operations Research and Management Information Systems, having authored 20 papers that have together received 214 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (8 papers), Domain Adaptation and Few-Shot Learning (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Neural Network Applications (5 papers), Topic Modeling (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Signal Processing (67 citations), Artificial Intelligence (112 citations), Management Science and Operations Research (35 citations), Computer Vision and Pattern Recognition (57 citations) and Finance (12 citations). Lujun Li has collaborated with scholars based in Germany, China and Hong Kong. Frequent co-authors include Gerhard Rigoll, Ruodu Wang, Jingping Yang, Yahan Yang, Zhe Jin, Zhengxing Sun, Xin Niu, Yikai Wang, Yi Qian and Dongsheng Li. Their work appears in journals such as SIAM Journal on Financial Mathematics, IEEE Access, Electronics, Applied Sciences and Lecture notes in computer science.
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.