Binhua Li

1.1k citations
54 papers · 564 · h-index 14

Impact in

    • Topic Modeling
    • Domain Adaptation and Few-Shot Learning
    • Natural Language Processing Techniques
    • Text and Document Classification Technologies
    • Advanced Image Fusion Techniques

Papers in

Binhua Li

47 papers receiving 553 citations

Peers

Binhua Li
Comparison fields: 5 of 86
  • Artificial Intelligence 239
  • Media Technology 57
  • Computer Vision and Pattern Recognition 106
  • Software 12
  • Ceramics and Composites 15
Replace Xiaocong Zhou with:
Xiaocong Zhou China
Zhiqiang Zhan China
Guoying Liu China
Hongqi Zhang China
Xiangyue Liu China
Jing Cao China
Yun Ding China
Jiho Yoo South Korea
Satoshi Takahashi Japan
Zhisheng Gao China
Binhua Li relative to Xiaocong Zhou China Xiaocong Zhou's profile →
Citations per field
00.5×7.5×
Xiaocong Zhou · 1×
Citations per year

Countries citing papers authored by Binhua Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Binhua Li Line = papers co-authored together Binhua Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019133
2 202055
3 201544
4 202126
5 202223
6 201720
7 202318
8 201617
9 201517
10 202016
11 201616
12 202416
13 200315
14 201614
15 201513
16 202213
17 201710
18 202210
19 201610
20
Few-Shot Text Classification with Induction Network.
20199

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 54 papers that have together received 564 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers), Boron and Carbon Nanomaterials Research (9 papers), CCD and CMOS Imaging Sensors (9 papers), Infrared Target Detection Methodologies (7 papers), Metal and Thin Film Mechanics (4 papers), MXene and MAX Phase Materials (4 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (239 citations), Media Technology (57 citations), Computer Vision and Pattern Recognition (106 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 Jian Sun, Ruiying Geng, 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, Monthly Notices of the Royal Astronomical Society, Diabetologia and Journal of Physics and Chemistry of Solids.

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.

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