Xuanji He

616 citations
8 papers · 434 indexed · 1 hit paper · h-index 6
Topics
Speech and Audio Processing (4 papers)Speech Recognition and Synthesis (4 papers)Emotion and Mood Recognition (2 papers)

In The Last Decade

Xuanji He

7 papers receiving 415 citations

Hit Papers

3-D Convolutional Recurrent Neural Networks With Attentio...20182026202020232018100200300

Peers

Xuanji He
Comparison fields: 5 of 68
  • Signal Processing 283
  • Experimental and Cognitive Psychology 271
  • Artificial Intelligence 172
  • Computer Vision and Pattern Recognition 53
  • Cognitive Neuroscience 28
Replace Yiqin Zhao with:
Yiqin Zhao United States
Aseel Alhadlaq Saudi Arabia
Renaud Séguier France
Jianzhu Guo China
Philip Rose Australia
Fernando Perdigão Portugal
Sadia Sultana Bangladesh
Kalaivani Sundararajan United States
Hua-Nong Ting Malaysia
Xuanji He relative to Yiqin Zhao United States Yiqin Zhao's profile →
Citations per field
00.5×2.6×
Yiqin Zhao · 1×
Citations per year

Countries citing papers authored by Xuanji He

Since Specialization
Citations

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

Fields of papers citing papers by Xuanji He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanji He

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanji He. A scholar is included among the top collaborators of Xuanji He 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 Xuanji He. Xuanji He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 7
5 43
6
3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognitionbreakdown →
355
7 6
8 16

About Xuanji He

Xuanji He is a scholar working on Signal Processing, Experimental and Cognitive Psychology and Artificial Intelligence, having authored 8 papers that have together received 434 indexed citations. Recurring topics across this work include Speech and Audio Processing (4 papers), Speech Recognition and Synthesis (4 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Signal Processing (283 citations), Experimental and Cognitive Psychology (271 citations) and Artificial Intelligence (172 citations). Xuanji He has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Mingyi Chen, Han Zhang, Huan Liu, Z.P. Jin, Alexander A. Navarini, Xiang Chen, Kai Huang, Wei Fan, Yonghong Peng and Jionglong Su. Their work appears in journals such as Journal of Alloys and Compounds, IEEE Signal Processing Letters and International Immunopharmacology.

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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