Fangting Huang

518 total citations
21 papers, 375 citations indexed

About

Fangting Huang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems. According to data from OpenAlex, Fangting Huang has authored 21 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 8 papers in Hardware and Architecture and 7 papers in Information Systems. Recurrent topics in Fangting Huang's work include Advanced Data Storage Technologies (12 papers), Parallel Computing and Optimization Techniques (8 papers) and Cloud Data Security Solutions (7 papers). Fangting Huang is often cited by papers focused on Advanced Data Storage Technologies (12 papers), Parallel Computing and Optimization Techniques (8 papers) and Cloud Data Security Solutions (7 papers). Fangting Huang collaborates with scholars based in China, United States and Ukraine. Fangting Huang's co-authors include Dan Feng, Min Fu, Wen Xia, Yucheng Zhang, Yukun Zhou, Yu Hua, Hong Jiang, Zuoning Chen, Xubin He and Wen Zhou and has published in prestigious journals such as Journal of Sound and Vibration, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Computers.

In The Last Decade

Fangting Huang

19 papers receiving 358 citations

Peers

Fangting Huang
Comparison fields: 5 of 26
  • Information Systems 279
  • Computer Networks and Communications 254
  • Artificial Intelligence 139
  • Hardware and Architecture 60
  • Electrical and Electronic Engineering 29
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Citations per field, relative to Fangting Huang
Fangting Huang · 1×
Citations per year, relative to Fangting Huang
Fangting Huang · 1×

Countries citing papers authored by Fangting Huang

Since Specialization
Citations

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

Fields of papers citing papers by Fangting Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangting Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Fangting Huang. A scholar is included among the top collaborators of Fangting 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 Fangting Huang. Fangting 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
# Work Indexed citations
1 1
2 1
3 0
4 0
5 6
6 3
7 5
8 18
9 22
10 19
11 44
12 9
13 1
14 8
15 61
16 31
17 70
18
Accelerating restore and garbage collection in deduplication-based backup systems via exploiting historical information
63
19 4
20 8

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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