Wen‐Chien Ting

460 citations
21 papers · 332 indexed · h-index 12
Topics
Prostate Cancer Treatment and Research (6 papers)Genetic Associations and Epidemiology (4 papers)Colorectal Cancer Screening and Detection (3 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Wen‐Chien Ting

21 papers receiving 331 citations

Peers

Wen‐Chien Ting
Comparison fields: 5 of 69
  • Molecular Biology 129
  • Pulmonary and Respiratory Medicine 124
  • Cancer Research 106
  • Oncology 74
  • Genetics 54
Replace Marius Wunderle with:
Marius Wunderle Germany
George Daniel Rădăvoi Romania
Chengliang Dong United States
Hae Min Jeong South Korea
Jia Gao China
Kaoru Nakano Japan
Jeffrey A. Tsou United States
Iain Bee Huat Tan Singapore
Christoph Fraune Germany
Wen‐Ze Qiu China
Wen‐Chien Ting relative to Marius Wunderle Germany Marius Wunderle's profile →
Citations per field
00.5×4.2×
Marius Wunderle · 1×
Citations per year

Countries citing papers authored by Wen‐Chien Ting

Since Specialization
Citations

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

Fields of papers citing papers by Wen‐Chien Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen‐Chien Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Chien Ting. A scholar is included among the top collaborators of Wen‐Chien Ting 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 Wen‐Chien Ting. Wen‐Chien Ting 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 15
2 11
3 5
4 6
5 7
6 17
7 18
8 3
9 7
10
Evaluating the Accuracy of Ensemble Learning Approaches for Prediction on Recurrent Colorectal Cancer
1
11 5
12 19
13 12
14 22
15 12
16 8
17 23
18 27
19 42
20 66

About Wen‐Chien Ting

Wen‐Chien Ting is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 332 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Genetic Associations and Epidemiology (4 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Cancer Research (106 citations), Health Informatics (6 citations) and Pulmonary and Respiratory Medicine (124 citations). Wen‐Chien Ting has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lumin Chen, Bo‐Ying Bao, Hong‐Zin Lee, Yu‐Hsuan Lan, Ta-Yuan Chang, Te‐Ling Lu, Chi‐Jeng Hsieh, Shu‐Pin Huang, Chia‐Chu Liu and Wenhui Yang. Their work appears in journals such as International Journal of Cancer, Clinica Chimica Acta and Annals of Surgical Oncology.

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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