Houbing Song

28.9k total citations · 9 hit papers
626 papers, 19.9k citations indexed

About

Houbing Song is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Houbing Song has authored 626 papers receiving a total of 19.9k indexed citations (citations by other indexed papers that have themselves been cited), including 286 papers in Computer Networks and Communications, 182 papers in Electrical and Electronic Engineering and 135 papers in Artificial Intelligence. Recurrent topics in Houbing Song's work include IoT and Edge/Fog Computing (111 papers), UAV Applications and Optimization (58 papers) and Vehicular Ad Hoc Networks (VANETs) (50 papers). Houbing Song is often cited by papers focused on IoT and Edge/Fog Computing (111 papers), UAV Applications and Optimization (58 papers) and Vehicular Ad Hoc Networks (VANETs) (50 papers). Houbing Song collaborates with scholars based in United States, China and United Kingdom. Houbing Song's co-authors include Zhihan Lv, Yongxin Liu, Jiachen Yang, Jian Wang, Dingde Jiang, Bin Jiang, Shuteng Niu, Wenjia Li, Yunchuan Sun and Rongfang Bie and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Houbing Song

587 papers receiving 19.2k citations

Hit Papers

Internet of Things and Big Data Analytics for Smart and C... 2015 2026 2018 2022 2016 2020 2015 2016 2021 200 400 600

Peers

Houbing Song
Comparison fields: 5 of 200
  • Computer Networks and Communications 8.9k
  • Electrical and Electronic Engineering 5.8k
  • Artificial Intelligence 4.3k
  • Information Systems 3.6k
  • Computer Vision and Pattern Recognition 3.0k
Replace Naixue Xiong with:
Naixue Xiong China
Ning Zhang China
Jin Wang China
Laurence T. Yang Canada
Song Guo China
Yong Li China
Sherali Zeadally United States
Muhammad Imran Saudi Arabia
Arun Kumar Sangaiah India
Mianxiong Dong Japan
Naixue Xiong China View profile →
Citations per field, relative to Houbing Song
Houbing Song · 1×
Citations per year, relative to Houbing Song
Houbing Song · 1×

Countries citing papers authored by Houbing Song

Since Specialization
Citations

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

Fields of papers citing papers by Houbing Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Houbing Song

This figure shows the co-authorship network connecting the top 25 collaborators of Houbing Song. A scholar is included among the top collaborators of Houbing Song 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 Houbing Song. Houbing Song 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 0
2 0
3 0
4 1
5 0
6 1
7 4
8 12
9 6
10 1
11 18
12 2
13 3
14 13
15 12
16 10
17 9
18 134
19 1
20 11

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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