Bei Gong

1.2k citations
63 papers · 783 indexed · h-index 15
Topics
Cryptography and Data Security (16 papers)Blockchain Technology Applications and Security (14 papers)Privacy-Preserving Technologies in Data (13 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors

In The Last Decade

Bei Gong

54 papers receiving 756 citations

Peers

Bei Gong
Comparison fields: 5 of 65
  • Computer Networks and Communications 481
  • Artificial Intelligence 393
  • Information Systems 246
  • Signal Processing 189
  • Electrical and Electronic Engineering 108
Replace Pedro Miguel Sánchez Sánchez with:
Pedro Miguel Sánchez Sánchez Spain
Yinhao Xiao China
Gérôme Bovet Switzerland
Yuchen Yang China
Abbas Acar United States
Yizhen Jia China
Hisham Alasmary Saudi Arabia
Mathias Fischer Germany
Hongbin Zhao China
Zhen Han China
Bei Gong relative to Pedro Miguel Sánchez Sánchez Spain Pedro Miguel Sánchez Sánchez's profile →
Citations per field
00.5×7.5×
Pedro Miguel Sánchez Sánchez · 1×
Citations per year

Countries citing papers authored by Bei Gong

Since Specialization
Citations

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

Fields of papers citing papers by Bei Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bei Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Gong. A scholar is included among the top collaborators of Bei Gong 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 Bei Gong. Bei Gong 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 0
3 1
4 0
5 4
6 7
7 2
8 3
9 37
10 4
11 12
12 16
13 12
14 4
15 1
16 21
17 33
18 27
19 17
20 1

About Bei Gong

Bei Gong is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence, having authored 63 papers that have together received 783 indexed citations. Recurring topics across this work include Cryptography and Data Security (16 papers), Blockchain Technology Applications and Security (14 papers) and Privacy-Preserving Technologies in Data (13 papers). The work is most often cited by research in Computer Networks and Communications (481 citations), Signal Processing (189 citations) and Artificial Intelligence (393 citations). Bei Gong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiuzhen Cheng, Yizhen Jia, Fangtian Zhong, Arwa Alrawais, Dongxiao Yu, Jiguo Yu, Muhammad Waqas, Honglu Jiang, Shanshan Tu and Jian Pei. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

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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