Zhifeng Kong

419 citations
11 papers · 88 indexed · h-index 4
Topics
Music and Audio Processing (3 papers)Speech Recognition and Synthesis (3 papers)Speech and Audio Processing (2 papers)
Journals
ZhongcaoyaoarXiv (Cornell University)ARCA (Università Ca' Foscari Venezia)

In The Last Decade

Zhifeng Kong

11 papers receiving 85 citations

Peers

Zhifeng Kong
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 40
  • Artificial Intelligence 37
  • Signal Processing 36
  • Aerospace Engineering 8
  • Computational Mechanics 6
Replace Olivia Wiles with:
Olivia Wiles United Kingdom
Igor Barros Barbosa Norway
Thomas Veit France
Jan Ernst United States
Vighnesh Birodkar United States
Samik Banerjee India
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Elise van der Pol Netherlands
Zhifeng Kong relative to Olivia Wiles United Kingdom Olivia Wiles's profile →
Citations per field
00.5×3.7×
Olivia Wiles · 1×
Citations per year

Countries citing papers authored by Zhifeng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Zhifeng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhifeng Kong

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 3
5 4
6 43
7 3
8 28
9 1
10
Optimization of thermosensitive in situ gel system containing berberine hydrochloride for ocular use
1
11
Experimental Study on the Antipyretic-analgesic and Anti-inflammatory of Total Coumarins from Peucedanum Praeruptorum Dunn
1

About Zhifeng Kong

Zhifeng Kong is a scholar working on Signal Processing, Toxicology and Artificial Intelligence, having authored 11 papers that have together received 88 indexed citations. Recurring topics across this work include Music and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Signal Processing (36 citations), Computer Vision and Pattern Recognition (40 citations) and Artificial Intelligence (37 citations). Zhifeng Kong has collaborated with scholars based in China, United States and Dominican Republic. Frequent co-authors include Bryan Catanzaro, Ping Wei, Jinjun Wang, Qing Zhao, Kamalika Chaudhuri, Rafael Valle, Amrita Roy Chowdhury, Deepanway Ghosal, Soujanya Poria and Ambuj Mehrish. Their work appears in journals such as Zhongcaoyao, arXiv (Cornell University) and ARCA (Università Ca' Foscari Venezia).

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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