Fang Chen

23.4k citations
566 papers · 13.0k indexed · 7 hit papers · h-index 53

Fang Chen

523 papers receiving 12.6k citations

Hit Papers

Meta-learni...6020132026201720212505007501000

Peers

Fang Chen
Comparison fields: 5 of 226
  • Computer Vision and Pattern Recognition 2.8k
  • Health Informatics 171
  • Human-Computer Interaction 497
  • Artificial Intelligence 2.7k
  • Renewable Energy, Sustainability and the Environment 1.1k
Replace Yan Liu with:
Yan Liu China
Saeid Nahavandi Australia
Qiang Zhang China
Aboul Ella Hassanien Egypt
Amir Hussain United Kingdom
Joel J. P. C. Rodrigues Portugal
Hua Wang China
Min Chen China
Ajith Abraham United States
Onur Teymur United Kingdom
Fang Chen relative to Yan Liu China Yan Liu's profile →
Citations per field
00.5×1.5×2.0×
Yan Liu · 1×
Citations per year

Countries citing papers authored by Fang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20242
3 202411
4 20241
5 20242
6 20247
7 20230
8 20231
9 202311
10 20230
11 20232
12 20237
13 20230
14 20222
15 20229
16 2020142
17 2018117
18 2017145
19
Image Captioning with Semantic Attentionbreakdown →
20161078
20
LAN Configuration and Analysis: Projects for the Data Communications and Networking Course
20112

About Fang Chen

Fang Chen is a scholar working on Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Transportation and Health Informatics, having authored 566 papers that have together received 13.0k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (30 papers), Human-Automation Interaction and Safety (27 papers), Speech and dialogue systems (26 papers), Visual and Cognitive Learning Processes (23 papers), Advanced Photocatalysis Techniques (21 papers), Natural Language Processing Techniques (19 papers), Traffic Prediction and Management Techniques (17 papers) and Multimodal Machine Learning Applications (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.8k citations), Health Informatics (171 citations), Human-Computer Interaction (497 citations), Artificial Intelligence (2.7k citations) and Renewable Energy, Sustainability and the Environment (1.1k citations). Fang Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhaowen Wang, Jianlong Zhou, Yang Wang, Hailin Jin, Jiebo Luo, Quanzeng You, Ling Wang, Hongwei Huang, Yihe Zhang and Amir H. Gandomi. Their work appears in journals such as IEEE Access, Scientific Reports, Journal of Colloid and Interface Science, Electronics and IET Intelligent Transport 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.

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