Fengwen Yang

1.1k citations
68 papers · 635 indexed · h-index 15
Topics
Traditional Chinese Medicine Studies (21 papers)Traditional Chinese Medicine Analysis (8 papers)COVID-19 Clinical Research Studies (7 papers)
Partner nations
ChinaSouth KoreaCanada

In The Last Decade

Fengwen Yang

61 papers receiving 620 citations

Peers

Fengwen Yang
Comparison fields: 5 of 108
  • Surgery 175
  • Complementary and alternative medicine 147
  • Pulmonary and Respiratory Medicine 117
  • Molecular Biology 105
  • Neurology 76
Replace Pui Kuan Cheong with:
Pui Kuan Cheong Hong Kong
Jui‐Shan Lin Taiwan
Wenke Zheng China
Pin‐Kuei Fu Taiwan
Yang He China
Chou‐Chin Lan Taiwan
Nanyang Liu China
Masahiro Kaneko Japan
Samuel Ajizian United States
Fengwen Yang relative to Pui Kuan Cheong Hong Kong Pui Kuan Cheong's profile →
Citations per field
00.5×1.5×2.2×
Pui Kuan Cheong · 1×
Citations per year

Countries citing papers authored by Fengwen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fengwen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengwen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Fengwen Yang. A scholar is included among the top collaborators of Fengwen Yang 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 Fengwen Yang. Fengwen Yang 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 3
2 3
3 18
4 1
5 1
6 5
7 21
8 12
9 28
10 13
11 2
12 10
13
Analysis of Real World Study of Traditional Chinese Medicine Based on Chinese Clinical Trial Registry
1
14 2
15 1
16 2
17 9
18 2
19 4
20 120

About Fengwen Yang

Fengwen Yang is a scholar working on Complementary and alternative medicine, Statistics, Probability and Uncertainty and Pharmacology, having authored 68 papers that have together received 635 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Studies (21 papers), Traditional Chinese Medicine Analysis (8 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Complementary and alternative medicine (147 citations), Pharmacology (75 citations) and Neurology (76 citations). Fengwen Yang has collaborated with scholars based in China, South Korea and Canada. Frequent co-authors include Junhua Zhang, Jing Wen, Kaijun Luo, Jianhua Fu, Amos Éla Bella, Wenke Zheng, Hong Yang, Bo Pang, Yonghong Hu and Xiaoming Xie. Their work appears in journals such as PLoS ONE, Journal of Clinical Epidemiology and British Journal of Cancer.

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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