Suhang Song

14.4k citations
59 papers · 866 indexed · 1 hit paper · h-index 15
Topics
Health disparities and outcomes (14 papers)Global Health Care Issues (11 papers)Healthcare Systems and Reforms (7 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaScientific Reports

In The Last Decade

Suhang Song

57 papers receiving 851 citations

Hit Papers

On the Opportunities and Challenges of Foundation Models ...202420262025202410203040

Peers

Suhang Song
Comparison fields: 5 of 128
  • General Health Professions 213
  • Health 202
  • Finance 142
  • Economics and Econometrics 139
  • Psychiatry and Mental health 102
Replace Dawei Zhu with:
Dawei Zhu China
Alexandre Dias Porto Chiavegatto Filho Brazil
Samuel Danso United Kingdom
Michael Laxy Germany
Chunlin Jin China
J Lyu China
Lindsay R. Pool United States
Haidong Wang China
Qiu Li China
Victoria A. Velkoff United States
Suhang Song relative to Dawei Zhu China Dawei Zhu's profile →
Citations per field
00.5×2.9×
Dawei Zhu · 1×
Citations per year

Countries citing papers authored by Suhang Song

Since Specialization
Citations

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

Fields of papers citing papers by Suhang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhang Song

This figure shows the co-authorship network connecting the top 25 collaborators of Suhang Song. A scholar is included among the top collaborators of Suhang 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 Suhang Song. Suhang 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
On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)breakdown →
45
5 1
6 23
7 6
8 8
9 6
10 22
11 11
12 67
13 13
14 3
15 13
16 23
17 13
18 9
19 21
20 75

About Suhang Song

Suhang Song is a scholar working on Health, General Health Professions and Finance, having authored 59 papers that have together received 866 indexed citations. Recurring topics across this work include Health disparities and outcomes (14 papers), Global Health Care Issues (11 papers) and Healthcare Systems and Reforms (7 papers). The work is most often cited by research in Health (202 citations), Finance (142 citations) and Neuropsychology and Physiological Psychology (19 citations). Suhang Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yian Gu, Yaakov Stern, Qingyue Meng, Zhiyuan Hou, Xiaochen Ma, Yinzi Jin, Beibei Yuan, Zhi‐Jie Zheng, Weiming Zhu and Gang Cheng. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Scientific Reports.

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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