Jingxuan Li
- Automotive Engineering top 5%
- Artificial Intelligence top 5%
- Topic Modeling 5
- Natural Language Processing Techniques 5
- Text and Document Classification Technologies 5
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- Image Retrieval and Classification Techniques 8
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- Advancements in Battery Materials 5
- Advanced Battery Materials and Technologies 4
- Ferroelectric and Negative Capacitance Devices 4
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- Recommender Systems and Techniques 4
- Co-authors
- Shi Xue DouFei WangBin WangBo WangYu ZhouDianlong WangHuakun LiuTao Li
- Journals
- Nature Communications (3 papers)IEEE Access (2 papers)IEEE Transactions on Industrial Informatics (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jingxuan Li
50 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Automotive Engineering 142
- Artificial Intelligence 267
- Computer Vision and Pattern Recognition 156
- Electronic, Optical and Magnetic Materials 123
- Electrical and Electronic Engineering 373
Countries citing papers authored by Jingxuan Li
This map shows the geographic impact of Jingxuan 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 Jingxuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingxuan Li more than expected).
Fields of papers citing papers by Jingxuan Li
This network shows the impact of papers produced by Jingxuan 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 Jingxuan Li. The network helps show where Jingxuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jingxuan 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 14 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 34 | |
| 14 | Prelithiation: A Crucial Strategy for Boosting the Practical Application of Next-Generation Lithium Ion Batterybreakdown → | 2021 | 294 |
| 15 | 2018 | 2 | |
| 16 | 2015 | 41 | |
| 17 | 2013 | 13 | |
| 18 | 2013 | 27 | |
| 19 | Exploring Interaction Between Images and Texts for Web Image Categorization | 2011 | 2 |
| 20 | 2011 | 15 |
About Jingxuan Li
Jingxuan Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 52 papers that have together received 881 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (5 papers), Advancements in Battery Materials (5 papers), Text and Document Classification Technologies (5 papers), Recommender Systems and Techniques (4 papers), Advanced Battery Materials and Technologies (4 papers) and Ferroelectric and Negative Capacitance Devices (4 papers). The work is most often cited by research in Automotive Engineering (142 citations), Artificial Intelligence (267 citations) and Computer Vision and Pattern Recognition (156 citations). Jingxuan Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Shi Xue Dou, Fei Wang, Bin Wang, Bo Wang, Yu Zhou, Dianlong Wang, Huakun Liu, Tao Li, Yuzhu Ji and Heng Yue. Their work appears in journals such as Nature Communications, IEEE Access, IEEE Transactions on Industrial Informatics, IEEE Transactions on Multimedia and Vacuum.
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.