Fuhai Chen

1.1k citations
38 papers · 774 · h-index 16

Impact in

Papers in

    • Multimodal Machine Learning Applications 9
    • Advanced Image and Video Retrieval Techniques 7
    • Human Pose and Action Recognition 5
    • Visual Attention and Saliency Detection 3
    • Sentiment Analysis and Opinion Mining 5
    • Text and Document Classification Technologies 3

Fuhai Chen

34 papers receiving 763 citations

Peers

Fuhai Chen
Comparison fields: 5 of 98
  • Computer Vision and Pattern Recognition 328
  • Artificial Intelligence 258
  • Radiation 57
  • Materials Chemistry 199
  • Computational Mathematics 2
Replace N. Shanthi with:
N. Shanthi India
Fan Chen United States
Jingyan Wang China
Deng Li China
William H. Payne United States
I. Satoh Japan
M. Weber Switzerland
Daniel Haas United States
Yile Wang China
Shibing Wang China
Fuhai Chen relative to N. Shanthi India N. Shanthi's profile →
Citations per field
00.5×4.6×
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 2021128
2 201767
3 201859
4 201855
5 202052
6 202445
7 201530
8 201829
9 202428
10 202327
11 202325
12 201623
13 201422
14 201921
15 202320
16 201719
17
Variational Structured Semantic Inference for Diverse Image Captioning
201913
18 202413
19 202412
20 202411

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 774 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), Sentiment Analysis and Opinion Mining (5 papers), Human Pose and Action Recognition (5 papers), Radiation Detection and Scintillator Technologies (4 papers), Text and Document Classification Technologies (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (328 citations), Artificial Intelligence (258 citations), Radiation (57 citations), Materials Chemistry (199 citations) and Computational Mathematics (2 citations). Fuhai Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Rongrong Ji, Yue Gao, Yongjian Wu, Xiaoshuai Sun, Jinsong Su, Donglin Cao, Mei‐Jin Lin, Jiayi Ji, Liujuan Cao and Hongming Chen. Their work appears in journals such as Inorganic Chemistry, IEEE Transactions on Multimedia, Advanced Functional Materials, Neurocomputing and Dyes and Pigments.

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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