Fuhai Chen

1.2k citations
38 papers · 826 · h-index 17

Impact in

Papers in

Fuhai Chen

36 papers receiving 812 citations

Peers

Fuhai Chen
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 335
  • Artificial Intelligence 266
  • Radiation 63
  • Materials Chemistry 206
  • Computational Mathematics 2
Replace N. Shanthi with:
N. Shanthi India
William H. Payne United States
Deng Li China
Jingyan Wang China
Yile Wang China
I. Satoh Japan
Jian Xie China
Shibing Wang China
R. Patrick Xian Germany
Fuhai Chen relative to N. Shanthi India N. Shanthi's profile →
Citations per field
00.5×10×15×19×
N. Shanthi · 1×
Citations per year

Countries citing papers authored by Fuhai Chen

Since Specialization
Citations

This map shows the geographic impact of Fuhai Chen'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 Fuhai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuhai Chen more than expected).

Fields of papers citing papers by Fuhai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fuhai Chen. 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 Fuhai Chen. The network helps show where Fuhai Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Fuhai Chen, 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 Fuhai Chen Line = papers co-authored together Fuhai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021132
2 201768
3 201859
4 201855
5 202054
6 202449
7 202437
8 201532
9 202329
10 202329
11 201828
12 201624
13 202323
14 201923
15 201422
16 202420
17 201719
18 202414
19
Variational Structured Semantic Inference for Diverse Image Captioning
201913
20 202412

About Fuhai Chen

Fuhai Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry, Oncology and Radiation, having authored 38 papers that have together received 826 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Luminescence and Fluorescent Materials (6 papers), Human Pose and Action Recognition (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Radiation Detection and Scintillator Technologies (4 papers), Luminescence Properties of Advanced Materials (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (335 citations), Artificial Intelligence (266 citations), Radiation (63 citations), Materials Chemistry (206 citations) and Computational Mathematics (2 citations). Fuhai Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rongrong Ji, Yue Gao, Yongjian Wu, Xiaoshuai Sun, Donglin Cao, Jinsong Su, Mei‐Jin Lin, Jiayi Ji, Hongming Chen and Liujuan Cao. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Multimedia, Neurocomputing, Inorganic Chemistry and Science China Materials.

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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