Ting Song

452 total citations
25 papers, 249 citations indexed

About

Ting Song is a scholar working on General Health Professions, Oncology and Artificial Intelligence. According to data from OpenAlex, Ting Song has authored 25 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 5 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Ting Song's work include Mobile Health and mHealth Applications (7 papers), Digital Mental Health Interventions (3 papers) and Healthcare Systems and Technology (2 papers). Ting Song is often cited by papers focused on Mobile Health and mHealth Applications (7 papers), Digital Mental Health Interventions (3 papers) and Healthcare Systems and Technology (2 papers). Ting Song collaborates with scholars based in Australia, China and United States. Ting Song's co-authors include Ping Yu, Siyu Qian, Tingru Cui, Yingping Guan, Ning Deng, Fang Liu, Xijing He, Yang Xu, Helen Ma and Zhu‐Jun Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

In The Last Decade

Ting Song

22 papers receiving 235 citations

Peers

Ting Song
Comparison fields: 5 of 68
  • General Health Professions 85
  • Applied Psychology 51
  • Molecular Biology 46
  • Oncology 33
  • Cardiology and Cardiovascular Medicine 31
Replace Vikas Batra with:
Vikas Batra India
Amanda Coupe United States
Tyler Johnson United States
Ace Allen United States
Hiroto Narimatsu Japan
Deborah L. Engle United States
Sanniya Khan Ghauri Pakistan
Giovanni Rubeis Germany
Francisco J. Núñez-Benjumea Spain
Helen Barry Ireland
Vikas Batra India View profile →
Citations per field, relative to Ting Song
Ting Song · 1×
Citations per year, relative to Ting Song
Ting Song · 1×

Countries citing papers authored by Ting Song

Since Specialization
Citations

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

Fields of papers citing papers by Ting Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Song

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Song. A scholar is included among the top collaborators of Ting 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 Ting Song. Ting 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 2
4 0
5 1
6 2
7 1
8 23
9 2
10 6
11 3
12 17
13 37
14 12
15 10
16 1
17 9
18 51
19 45
20 1

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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