Feilong Chen

1.5k citations
53 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Feilong Chen

49 papers receiving 1.0k citations

Feilong Chen's Hit Papers

VLP: A Survey on Vision-language Pre-training 2023 · 137 citations
1370+1+2Years since publication4080120

Peers

Feilong Chen
Comparison fields: 5 of 122
  • Industrial and Manufacturing Engineering 261
  • Statistics, Probability and Uncertainty 98
  • Artificial Intelligence 425
  • Computer Vision and Pattern Recognition 261
  • Accounting 116
Replace Armin Shmilovici with:
Armin Shmilovici Israel
Chaoqun Li China
Andrei Petrovski United Kingdom
Georgios Dounias Greece
Stefan Rüping Germany
Zuzana Komínková Oplatková Czechia
Wai Ki Ching Hong Kong
Jee-Hyong Lee South Korea
Man Leung Wong Hong Kong
Feilong Chen relative to Armin Shmilovici Israel Armin Shmilovici's profile →
Citations per field
00.5×9.7×
Armin Shmilovici · 1×
Citations per year

Countries citing papers authored by Feilong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Feilong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000200
2 2009162
3
VLP: A Survey on Vision-language Pre-training
Hit paper breakdown →
2023137
4 201770
5 202048
6 200542
7 202030
8 202327
9 200927
10 200927
11 202122
12 202121
13 202020
14 200820
15 202018
16 200416
17 202315
18 200915
19 200613
20 201012

About Feilong Chen

Feilong Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Information Systems and Management Science and Operations Research, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (7 papers), Industrial Vision Systems and Defect Detection (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Advanced Statistical Process Monitoring (5 papers), Human Pose and Action Recognition (4 papers), Speech and dialogue systems (4 papers), Natural Language Processing Techniques (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (261 citations), Statistics, Probability and Uncertainty (98 citations), Artificial Intelligence (425 citations), Computer Vision and Pattern Recognition (261 citations) and Accounting (116 citations). Feilong Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Duzhen Zhang, Xiuyi Chen, Shuang Xu, Young‐Joon Seo, Saeyeon Roh, Jing Shi, Bo Xu, Pang‐Ning Tan, Fandong Meng and Jie Zhou. Their work appears in journals such as Expert Systems with Applications, Physical Communication, Lara D. Veeken, BMC Medical Informatics and Decision Making and The International Journal of Advanced Manufacturing Technology.

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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