Guanglei Song

777 citations
44 papers · 481 · h-index 13

Impact in

Papers in

Guanglei Song

39 papers receiving 464 citations

Peers

Guanglei Song
Comparison fields: 5 of 67
  • Software 40
  • Computer Networks and Communications 195
  • Soil Science 54
  • Hardware and Architecture 37
  • Information Systems 86
Replace Umar Farooq with:
Umar Farooq Pakistan
Sabrine Khriji Germany
R. Aruna India
Massimiliano Ruggeri Italy
Lulu Huang China
Yuanqiang Liu China
Wenwen Wang China
Juan–Carlos Ruiz Spain
Ritesh Kumar Singh Belgium
M. Chinnadurai India
Guanglei Song relative to Umar Farooq Pakistan Umar Farooq's profile →
Citations per field
00.5×10×15×18×
Umar Farooq · 1×
Citations per year

Countries citing papers authored by Guanglei Song

Since Specialization
Citations

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

Fields of papers citing papers by Guanglei Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guanglei Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanglei Song Line = papers co-authored together Guanglei Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200495
2 201463
3 200551
4 202228
5 201523
6 202221
7 202020
8 202118
9 201714
10 200414
11 201714
12 202313
13 200513
14 202312
15 20059
16 20247
17 20047
18 20237
19 20195
20 20234

About Guanglei Song

Guanglei Song is a scholar working on Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Software, having authored 44 papers that have together received 481 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (11 papers), Internet Traffic Analysis and Secure E-voting (9 papers), IPv6, Mobility, Handover, Networks, Security (7 papers), Model-Driven Software Engineering Techniques (7 papers), Semantic Web and Ontologies (6 papers), Advanced Malware Detection Techniques (4 papers), Software Engineering Research (4 papers) and Marine Biology and Environmental Chemistry (3 papers). The work is most often cited by research in Software (40 citations), Computer Networks and Communications (195 citations), Soil Science (54 citations), Hardware and Architecture (37 citations) and Information Systems (86 citations). Guanglei Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Kong, Qian Zhang, Wenwu Zhu, Zhenhuan Zhang, Xinyan Zhang, Kang Zhang, Jiahai Yang, Meikang Qiu, Zhiliang Wang and Ning Sui. Their work appears in journals such as IEEE/ACM Transactions on Networking, Progress in Organic Coatings, Innovative Food Science & Emerging Technologies, IEEE Transactions on Mobile Computing and RSC Advances.

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.

Explore authors with similar magnitude of impact