Fei Tang

1.3k citations
46 papers · 710 indexed · 1 hit paper · h-index 10
Topics
Cryptography and Data Security (18 papers)Privacy-Preserving Technologies in Data (11 papers)Cloud Data Security Solutions (5 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Fei Tang

39 papers receiving 691 citations

Hit Papers

Random forest missing data algorithms20172026202020232017100200300400

Peers

Fei Tang
Comparison fields: 5 of 146
  • Artificial Intelligence 183
  • Information Systems 125
  • Computer Networks and Communications 112
  • Signal Processing 65
  • Statistics and Probability 51
Replace Richard M. Golden with:
Richard M. Golden United States
Giovanna Menardi Italy
Thabo Semong Botswana
Alejandro Carrasco Spain
Thabiso Maupong Botswana
Mu Zhu Canada
Hugo L. Hammer Norway
Barry de Ville United States
Dimane Mpoeleng Botswana
Bogdan Popescu Romania
Fei Tang relative to Richard M. Golden United States Richard M. Golden's profile →
Citations per field
00.5×5.0×
Richard M. Golden · 1×
Citations per year

Countries citing papers authored by Fei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Fei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Tang. A scholar is included among the top collaborators of Fei Tang 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 Fei Tang. Fei Tang 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 0
2 8
3 2
4 1
5 0
6 0
7 2
8 1
9 5
10 1
11 10
12 25
13
Random forest missing data algorithmsbreakdown →
474
14 1
15 1
16 2
17 2
18 2
19
Study on System Identification Method based on Genetic Algorithms
1
20 1

About Fei Tang

Fei Tang is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 46 papers that have together received 710 indexed citations. Recurring topics across this work include Cryptography and Data Security (18 papers), Privacy-Preserving Technologies in Data (11 papers) and Cloud Data Security Solutions (5 papers). The work is most often cited by research in Statistics and Probability (51 citations), Signal Processing (65 citations) and Artificial Intelligence (183 citations). Fei Tang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hemant Ishwaran, Kefei Cheng, Jianfeng Ma, Fengwei Zhang, Jinku Li, Guowei Ling, Cuihong Yang, Junjie Pang, Kefei Chen and Shikai Liang. Their work appears in journals such as IEEE Access, Neurocomputing and BMC Genomics.

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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