Feijun Jiang

534 citations
16 papers · 239 · 1 hit paper · h-index 7

Impact in

Papers in

Feijun Jiang

15 papers receiving 234 citations

Feijun Jiang's Hit Papers

Bootstrap Latent Representations for Multi-modal Recommendation 2023 · 103 citations
1030+1+2Years since publication255075100

Peers

Feijun Jiang
Comparison fields: 5 of 41
  • Artificial Intelligence 154
  • Computer Vision and Pattern Recognition 95
  • Information Systems 95
  • Signal Processing 32
  • Experimental and Cognitive Psychology 16
Replace Mihai Gabriel Constantin with:
Mihai Gabriel Constantin Romania
Tangjie Lv China
Ting-En Lin China
Hamid Eghbal-zadeh Austria
Tajuddeen Gwadabe China
Motaz Saad Palestinian Territory
Nam Khanh Tran Germany
Namita Tiwari India
Byeongchang Kim South Korea
Manoj Pooleery United States
Feijun Jiang relative to Mihai Gabriel Constantin Romania Mihai Gabriel Constantin's profile →
Citations per field
00.5×
Mihai Gabriel Constantin · 1×
Citations per year

Countries citing papers authored by Feijun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Feijun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Bootstrap Latent Representations for Multi-modal Recommendation
Hit paper breakdown →
2023103
2 201738
3 202321
4 202319
5 202310
6 20138
7 20098
8 20225
9 20115
10 20235
11 20215
12
Efficient and robust integration of face detection and head pose estimation
20124
13 20234
14 20213
15 20211
16 20250

About Feijun Jiang

Feijun Jiang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Cognitive Neuroscience, having authored 16 papers that have together received 239 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Speech and dialogue systems (3 papers), Music and Audio Processing (3 papers), Speech and Audio Processing (3 papers), Topic Modeling (3 papers), Natural Language Processing Techniques (2 papers), Face and Expression Recognition (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Artificial Intelligence (154 citations), Computer Vision and Pattern Recognition (95 citations), Information Systems (95 citations), Signal Processing (32 citations) and Experimental and Cognitive Psychology (16 citations). Feijun Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xin Zhou, Hongyu Zhou, Chenglong Wang, Hongxia Yang, Yong Liu, Zhiwei Zeng, Chunyan Miao, Bertram E. Shi, Ning Ding and Jianlong Wu. Their work appears in journals such as Signal Processing Image Communication, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Transactions on Image Processing and Rare & Special e-Zone (The Hong Kong University of Science and 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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