Ven‐Shing Wang

471 citations
19 papers · 391 · h-index 10

Impact in

Papers in

Ven‐Shing Wang

19 papers receiving 377 citations

Peers

Ven‐Shing Wang
Comparison fields: 5 of 91
  • Speech and Hearing 174
  • Health, Toxicology and Mutagenesis 159
  • Chemical Health and Safety 6
  • Sensory Systems 24
  • Analytical Chemistry 40
Replace Manuella Lech Cantuaria with:
Manuella Lech Cantuaria Denmark
Hafiz Omer Ahmed United Arab Emirates
Hervé Nunge France
Madbuli H. Noweir Egypt
Assunta Capozzella Italy
Keh-Ping Chao Taiwan
Nilesh S. Wagh India
Ho‐Yuan Chang Taiwan
B. Bach Denmark
Heinz Rothweiler Switzerland
Ven‐Shing Wang relative to Manuella Lech Cantuaria Denmark Manuella Lech Cantuaria's profile →
Citations per field
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Manuella Lech Cantuaria · 1×
Citations per year

Countries citing papers authored by Ven‐Shing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ven‐Shing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ven‐Shing Wang. 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 Ven‐Shing Wang. The network helps show where Ven‐Shing Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ven‐Shing Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ven‐Shing Wang Line = papers co-authored together Ven‐Shing Wang links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201377
2 200248
3 201247
4 201641
5 200928
6 200827
7 201121
8 201418
9 200315
10 201211
11 20049
12 20038
13 20048
14 20127
15 20117
16 20167
17 20095
18 20104
19 20203

About Ven‐Shing Wang

Ven‐Shing Wang is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing, Analytical Chemistry, Automotive Engineering and Cognitive Neuroscience, having authored 19 papers that have together received 391 indexed citations. Recurring topics across this work include Noise Effects and Management (7 papers), Air Quality and Health Impacts (6 papers), Analytical chemistry methods development (5 papers), Hearing Loss and Rehabilitation (2 papers), Mercury impact and mitigation studies (2 papers), Dental materials and restorations (2 papers), Forensic Toxicology and Drug Analysis (2 papers) and Climate Change and Health Impacts (2 papers). The work is most often cited by research in Speech and Hearing (174 citations), Health, Toxicology and Mutagenesis (159 citations), Chemical Health and Safety (6 citations), Sensory Systems (24 citations) and Analytical Chemistry (40 citations). Ven‐Shing Wang has collaborated with scholars based in Taiwan, Netherlands and Slovenia. Frequent co-authors include Bo‐Ying Bao, Keh-Ping Chao, Jim‐Shoung Lai, Ta-Yuan Chang, Bing‐Fang Hwang, Ta‐Yuan Chang, Chiu-Shong Liu, Jin‐Shin Lai, Li‐Hao Young and Ming‐Tsung Lee. Their work appears in journals such as Polymer Testing, International Archives of Occupational and Environmental Health, Journal of Chromatography B, Environmental Pollution and Electrophoresis.

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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