Sijie Mai

1.8k citations
31 papers · 1.1k indexed · 1 hit paper · h-index 19
Topics
Sentiment Analysis and Opinion Mining (16 papers)Emotion and Mood Recognition (11 papers)Topic Modeling (10 papers)
Partner nations
ChinaHong Kong

In The Last Decade

Sijie Mai

27 papers receiving 1.1k citations

Hit Papers

Hybrid Contrastive Learning of Tri-Modal Representation f...202220262023202420224080120

Peers

Sijie Mai
Comparison fields: 5 of 87
  • Artificial Intelligence 843
  • Experimental and Cognitive Psychology 362
  • Computer Vision and Pattern Recognition 278
  • Signal Processing 190
  • Social Psychology 83
Replace Rowan Zellers with:
Rowan Zellers United States
Rui Xia China
AmirAli Bagher Zadeh Singapore
Deepanway Ghosal Singapore
Sébastien Jean United States
Shizhe Chen China
Daling Wang China
Ming Sun China
Gabriel Doyle United States
Sijie Mai relative to Rowan Zellers United States Rowan Zellers's profile →
Citations per field
00.5×1.5×2.4×
Rowan Zellers · 1×
Citations per year

Countries citing papers authored by Sijie Mai

Since Specialization
Citations

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

Fields of papers citing papers by Sijie Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijie Mai

This figure shows the co-authorship network connecting the top 25 collaborators of Sijie Mai. A scholar is included among the top collaborators of Sijie Mai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sijie Mai. Sijie Mai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 14
5 28
6 8
7 20
8 11
9 29
10 19
11 3
12 84
13 27
14
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysisbreakdown →
137
15 22
16 66
17 47
18 58
19 96
20 67

About Sijie Mai

Sijie Mai is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (16 papers), Emotion and Mood Recognition (11 papers) and Topic Modeling (10 papers). The work is most often cited by research in Experimental and Cognitive Psychology (362 citations), Artificial Intelligence (843 citations) and Signal Processing (190 citations). Sijie Mai has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Haifeng Hu, Songlong Xing, Ying Zeng, Shuangjia Zheng, Yuedong Yang, Xu Jia, Jiahua Rao, Rongshan Yu, Bing He and Weitong Zhang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based 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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