Zhifeng Wang

1.1k total citations
52 papers, 690 citations indexed

About

Zhifeng Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhifeng Wang has authored 52 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 18 papers in Computer Vision and Pattern Recognition and 16 papers in Signal Processing. Recurrent topics in Zhifeng Wang's work include Music and Audio Processing (13 papers), Digital Media Forensic Detection (10 papers) and Speech and Audio Processing (9 papers). Zhifeng Wang is often cited by papers focused on Music and Audio Processing (13 papers), Digital Media Forensic Detection (10 papers) and Speech and Audio Processing (9 papers). Zhifeng Wang collaborates with scholars based in China, United Kingdom and France. Zhifeng Wang's co-authors include Chunyan Zeng, Longlong Li, Zhiyong Wu, Fengwu Bai, Cyril Caliot, Chong Tian, Gilles Flamant, Jinsong Zhang, Tingting Zhang and Qianhua He and has published in prestigious journals such as PLoS ONE, Applied Energy and Expert Systems with Applications.

In The Last Decade

Zhifeng Wang

41 papers receiving 674 citations

Peers

Zhifeng Wang
Comparison fields: 5 of 97
  • Artificial Intelligence 238
  • Computer Vision and Pattern Recognition 169
  • Signal Processing 155
  • Computational Mechanics 140
  • Mechanical Engineering 118
Replace Giuseppe Ruggeri with:
Giuseppe Ruggeri Italy
Ryad Chellali Italy
Sze‐Teng Liong Taiwan
Dejan Mitrović Serbia
Demetrio Iero Italy
Antonio Greco Italy
Wenju Zhou China
Mujtaba Hussain Jaffery Pakistan
Maria Gorlatova United States
Giuseppe Ruggeri Italy View profile →
Citations per field, relative to Zhifeng Wang
Zhifeng Wang · 1×
Citations per year, relative to Zhifeng Wang
Zhifeng Wang · 1×

Countries citing papers authored by Zhifeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhifeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhifeng Wang. A scholar is included among the top collaborators of Zhifeng Wang 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 Zhifeng Wang. Zhifeng Wang 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 1
3 0
4 4
5 6
6 6
7 7
8 0
9 1
10 5
11 2
12 5
13 7
14 7
15 18
16 21
17 34
18 21
19 15
20 18

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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