Yongfeng Huang

13.0k citations
302 papers · 7.4k indexed · 2 hit papers · h-index 45
Topics
Topic Modeling (78 papers)Advanced Steganography and Watermarking Techniques (76 papers)Internet Traffic Analysis and Secure E-voting (46 papers)
Journals
Angewandte Chemie International EditionNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Yongfeng Huang

285 papers receiving 7.1k citations

Hit Papers

Communication-efficient federated learning via knowledge ...202220262023202420222022100200300

Peers

Yongfeng Huang
Comparison fields: 5 of 160
  • Artificial Intelligence 4.2k
  • Information Systems 2.2k
  • Computer Vision and Pattern Recognition 2.1k
  • Electrical and Electronic Engineering 1.4k
  • Computer Networks and Communications 551
Replace Lu Liu with:
Lu Liu China
Ting Chen China
Mohammad Kamrul Hasan Malaysia
Tai-hoon Kim South Korea
Zhou Su China
Ke Xu China
Xiaojie Wang China
Ning Zhong China
Tolga Soyata United States
Insup Lee United States
Yongfeng Huang relative to Lu Liu China Lu Liu's profile →
Citations per field
00.5×3.3×
Lu Liu · 1×
Citations per year

Countries citing papers authored by Yongfeng Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yongfeng Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongfeng Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongfeng Huang. A scholar is included among the top collaborators of Yongfeng Huang 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 Yongfeng Huang. Yongfeng Huang 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 8
2 0
3 1
4 1
5 8
6 6
7 0
8 1
9 3
10 1
11 15
12 56
13 85
14 21
15 3
16 59
17 9
18 6
19 63
20
Steganographic method in self-adaptive codebooks of speech codec
2

About Yongfeng Huang

Yongfeng Huang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 302 papers that have together received 7.4k indexed citations. Recurring topics across this work include Topic Modeling (78 papers), Advanced Steganography and Watermarking Techniques (76 papers) and Internet Traffic Analysis and Secure E-voting (46 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Computer Vision and Pattern Recognition (2.1k citations) and Information Systems (2.2k citations). Yongfeng Huang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Fangzhao Wu, Chuhan Wu, Xing Xie, Tao Qi, Zhongliang Yang, Feiyu Kang, Chengjun Xu, Wenbao Liu, Zhigang Yuan and Liubing Dong. Their work appears in journals such as Angewandte Chemie International Edition, Nature Communications and SHILAP Revista de lepidopterología.

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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