Binhua Li
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Text and Document Classification Technologies
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
-
- Topic Modeling 11
- Natural Language Processing Techniques 9
-
- CCD and CMOS Imaging Sensors 9
- Co-authors
- Ruiying Geng (6 shared papers)Jian Sun (4 shared papers)Xiaodan Zhu (3 shared papers)Yongbin Li (3 shared papers)Mengjiang Xing (10 shared papers)Qi Chen (8 shared papers)Zhengtao Yu (7 shared papers)Ping Jian (2 shared papers)
- Journals
- IEEE Access (2 papers)Complex & Intelligent Systems (2 papers)Chinese Journal of Chemistry (1 paper)Scientific Reports (1 paper)Knowledge-Based Systems (1 paper)
- Partner nations
- ChinaUnited StatesCayman Islands
In The Last Decade
Binhua Li
47 papers receiving 538 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 237
- Media Technology 56
- Computer Vision and Pattern Recognition 104
- Software 12
- Ceramics and Composites 15
Countries citing papers authored by Binhua Li
This map shows the geographic impact of Binhua 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 Binhua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binhua Li more than expected).
Fields of papers citing papers by Binhua Li
This network shows the impact of papers produced by Binhua 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 Binhua Li. The network helps show where Binhua Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Binhua 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
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 131 | |
| 2 | 2020 | 55 | |
| 3 | 2015 | 44 | |
| 4 | 2021 | 26 | |
| 5 | 2022 | 22 | |
| 6 | 2017 | 20 | |
| 7 | 2023 | 18 | |
| 8 | 2016 | 17 | |
| 9 | 2015 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2003 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2015 | 13 | |
| 16 | 2022 | 13 | |
| 17 | Few-Shot Text Classification with Induction Network. | 2019 | 9 |
| 18 | 2022 | 9 | |
| 19 | 2016 | 9 | |
| 20 | 2017 | 9 |
About Binhua Li
Binhua Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 53 papers that have together received 554 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Boron and Carbon Nanomaterials Research (9 papers), Natural Language Processing Techniques (9 papers), CCD and CMOS Imaging Sensors (9 papers), Infrared Target Detection Methodologies (7 papers), Metal and Thin Film Mechanics (4 papers), Advanced Image Fusion Techniques (4 papers) and MXene and MAX Phase Materials (4 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Media Technology (56 citations), Computer Vision and Pattern Recognition (104 citations), Software (12 citations) and Ceramics and Composites (15 citations). Binhua Li has collaborated with scholars based in China, United States and Cayman Islands. Frequent co-authors include Ruiying Geng, Jian Sun, Xiaodan Zhu, Yongbin Li, Mengjiang Xing, Qi Chen, Zhengtao Yu, Ping Jian, Weiwei Cai and Yongbin Li. Their work appears in journals such as IEEE Access, Complex & Intelligent Systems, Chinese Journal of Chemistry, Scientific Reports and Knowledge-Based 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.