Na Song

974 citations
32 papers · 697 indexed · 1 hit paper · h-index 12
Topics
Energy, Environment, Economic Growth (5 papers)Sustainable Supply Chain Management (5 papers)Supply Chain and Inventory Management (5 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Na Song

31 papers receiving 657 citations

Hit Papers

The impact of ICT on economic growth-Comparing rich and p...2020202620222024202050100150200

Peers

Na Song
Comparison fields: 5 of 67
  • Economics and Econometrics 418
  • Information Systems 167
  • Strategy and Management 121
  • Management Information Systems 107
  • Marketing 73
Replace Ayesha Afzal with:
Ayesha Afzal Pakistan
Saba Fazal Firdousi Pakistan
Désiré Avom Cameroon
Faris Alshubiri Oman
Chen Pinglu China
Tii N. Nchofoung Cameroon
Mehmet Karaçuka Türkiye
Shafaq Salam China
Wenrong Pan China
Sahar Bahmani United States
Na Song relative to Ayesha Afzal Pakistan Ayesha Afzal's profile →
Citations per field
00.5×2.7×
Ayesha Afzal · 1×
Citations per year

Countries citing papers authored by Na Song

Since Specialization
Citations

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

Fields of papers citing papers by Na Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Song

This figure shows the co-authorship network connecting the top 25 collaborators of Na Song. A scholar is included among the top collaborators of Na 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 Na Song. Na 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 1
2 1
3 51
4 10
5 5
6 21
7 9
8 19
9 8
10 63
11
The Impacts of Neighborhood Environment on Depression and Life satisfaction of middle school students - The mediating role of perceived neighborhood environment-
2
12 1
13 7
14
Volatility information transmission between carbon market and global asset market
2
15 11
16 1
17 2
18 7
19
A Valuation model for perpetual convertible bonds with Markov regime switching models
1
20 42

About Na Song

Na Song is a scholar working on Management Information Systems, Finance and Economics and Econometrics, having authored 32 papers that have together received 697 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (5 papers), Sustainable Supply Chain Management (5 papers) and Supply Chain and Inventory Management (5 papers). The work is most often cited by research in Economics and Econometrics (418 citations), Management Information Systems (107 citations) and Strategy and Management (121 citations). Na Song has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Isaac Appiah‐Otoo, Alex O. Acheampong, Xudong Chen, Wai-Ki Ching, Tak Kuen Siu, Sheng Wang, Lemin Li, Rongxi He, Hongfang Yu and Guangjin Chen. Their work appears in journals such as Sustainability, International Journal of Production Research and Annals of Operations Research.

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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