Zheng Song

1.1k citations
71 papers · 750 indexed · h-index 13
Topics
Indoor and Outdoor Localization Technologies (13 papers)Mobile Crowdsensing and Crowdsourcing (13 papers)IoT and Edge/Fog Computing (9 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Agricultural and Food ChemistryFood Chemistry
Partner nations
United StatesChinaSweden

In The Last Decade

Zheng Song

57 papers receiving 739 citations

Peers

Zheng Song
Comparison fields: 5 of 102
  • Computer Science Applications 329
  • Artificial Intelligence 187
  • Transportation 178
  • Electrical and Electronic Engineering 170
  • Computer Networks and Communications 155
Replace Andrea Capponi with:
Andrea Capponi Luxembourg
Idalides Vergara-Laurens United States
Md Tanvir Al Amin United States
Nam Pham United States
Delphine Christin Germany
Marco Zappatore Italy
Julien Eberle Switzerland
Liyue Fan United States
Lorenzo Bracciale Italy
Zheng Song relative to Andrea Capponi Luxembourg Andrea Capponi's profile →
Citations per field
00.5×5.6×
Andrea Capponi · 1×
Citations per year

Countries citing papers authored by Zheng Song

Since Specialization
Citations

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

Fields of papers citing papers by Zheng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zheng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Zheng Song. A scholar is included among the top collaborators of Zheng 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 Zheng Song. Zheng 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
#WorkIndexed citations
1 0
2 6
3 3
4 1
5 6
6 0
7 0
8 0
9 18
10 5
11 1
12 2
13 4
14 3
15 2
16 9
17 8
18 2
19 41
20 1

About Zheng Song

Zheng Song is a scholar working on Computer Science Applications, Computer Networks and Communications and Transportation, having authored 71 papers that have together received 750 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (13 papers), Mobile Crowdsensing and Crowdsourcing (13 papers) and IoT and Edge/Fog Computing (9 papers). The work is most often cited by research in Computer Science Applications (329 citations), Transportation (178 citations) and Computer Networks and Communications (155 citations). Zheng Song has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Wendong Wang, Chi Harold Liu, Jian Ma, Jie Wu, Eli Tilevich, Jon Crowcroft, Kin K. Leung, Xin Su, Jianxin Zhao and Hui Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Agricultural and Food Chemistry and Food Chemistry.

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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