Sheng‐Tang Wu

2.4k citations
118 papers · 1.6k indexed · h-index 20
Topics
Urologic and reproductive health conditions (12 papers)Kidney Stones and Urolithiasis Treatments (9 papers)Data Mining Algorithms and Applications (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Applied Physics
Partner nations
TaiwanAustraliaJapan

In The Last Decade

Sheng‐Tang Wu

113 papers receiving 1.5k citations

Peers

Sheng‐Tang Wu
Comparison fields: 5 of 147
  • Molecular Biology 398
  • Artificial Intelligence 295
  • Information Systems 270
  • Surgery 242
  • Pulmonary and Respiratory Medicine 219
Replace Ying Zhou with:
Ying Zhou China
Ming‐Yii Huang Taiwan
Hu Hu China
Spyros Deftereos Greece
Aris Floratos United States
Harmeet Kaur India
Yinyin Wang China
Francesmary Modugno United States
Stefan Buchholz Germany
Xiaoli Cui China
Sheng‐Tang Wu relative to Ying Zhou China Ying Zhou's profile →
Citations per field
00.5×7.7×
Ying Zhou · 1×
Citations per year

Countries citing papers authored by Sheng‐Tang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Tang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Tang Wu. 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 Sheng‐Tang Wu. The network helps show where Sheng‐Tang Wu may publish in the future.

Co-authorship network of co-authors of Sheng‐Tang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Tang Wu. A scholar is included among the top collaborators of Sheng‐Tang Wu 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 Sheng‐Tang Wu. Sheng‐Tang Wu 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 8
3 16
4 8
5 19
6 19
7 9
8 19
9 33
10 4
11 16
12 18
13 3
14 35
15 7
16
Mining specific and general features in both positive and negative relevance feedback
5
17
An Effective Deploying Algorithm for Using Pattern-Taxonomy
4
18 2
19 2
20
The Outgassing and Pumping Effect of an Ultrahigh Vacuum System
1

About Sheng‐Tang Wu

Sheng‐Tang Wu is a scholar working on Urology, Biological Psychiatry and Pulmonary and Respiratory Medicine, having authored 118 papers that have together received 1.6k indexed citations. Recurring topics across this work include Urologic and reproductive health conditions (12 papers), Kidney Stones and Urolithiasis Treatments (9 papers) and Data Mining Algorithms and Applications (9 papers). The work is most often cited by research in Biological Psychiatry (114 citations), Urology (105 citations) and Information Systems (270 citations). Sheng‐Tang Wu has collaborated with scholars based in Taiwan, Australia and Japan. Frequent co-authors include Guang‐Huan Sun, Tai‐Lung Cha, Ning Zhong, Yuefeng Li, Dah‐Shyong Yü, Sun‐Yran Chang, Yuefeng Li, Yue Xu, En Meng and Chih‐Wei Tsao. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

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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