Feifei Xiong

473 total citations
28 papers, 306 citations indexed

About

Feifei Xiong is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Feifei Xiong has authored 28 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Signal Processing, 12 papers in Artificial Intelligence and 9 papers in Computational Mechanics. Recurrent topics in Feifei Xiong's work include Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (11 papers) and Advanced Adaptive Filtering Techniques (9 papers). Feifei Xiong is often cited by papers focused on Speech and Audio Processing (19 papers), Speech Recognition and Synthesis (11 papers) and Advanced Adaptive Filtering Techniques (9 papers). Feifei Xiong collaborates with scholars based in Germany, China and United Kingdom. Feifei Xiong's co-authors include Jon Barker, Heidi Christensen, Stefan Goetze, Bernd T. Meyer, Birger Kollmeier, Khemayanto Hidayat, Xianliang Luo, Lei Lei, Wangxin Liu and Minjie Zhao and has published in prestigious journals such as Bioresource Technology, Food Research International and Journal of the Science of Food and Agriculture.

In The Last Decade

Feifei Xiong

27 papers receiving 295 citations

Peers

Feifei Xiong
Comparison fields: 5 of 68
  • Signal Processing 165
  • Artificial Intelligence 163
  • Physiology 114
  • Experimental and Cognitive Psychology 58
  • Molecular Biology 43
Replace Prasanta Kumar Ghosh with:
Prasanta Kumar Ghosh India
Shansong Liu China
Bajibabu Bollepalli Finland
Ravichander Vipperla United Kingdom
Jiangping Kong China
Akira Sasou Japan
Zhaoheng Ni United States
Shuyan Dong China
Ling-Hui Chen China
Prasanta Kumar Ghosh India View profile →
Citations per field, relative to Feifei Xiong
Feifei Xiong · 1×
Citations per year, relative to Feifei Xiong
Feifei Xiong · 1×

Countries citing papers authored by Feifei Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Feifei Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feifei Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Feifei Xiong. A scholar is included among the top collaborators of Feifei Xiong 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 Feifei Xiong. Feifei Xiong 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
# Work Indexed citations
1 0
2 7
3 11
4 8
5 3
6 6
7 3
8 14
9 22
10 46
11 16
12 56
13
Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition.
18
14 9
15 2
16 17
17 8
18 1
19
System Identification of Equalized Room Impulse Responses by an Acoustic Echo Canceller Using Proportionate LMS Algorithms
2
20 7

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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