Tzu-Ling Lin

449 citations
19 papers · 339 · h-index 8

Impact in

Papers in

Tzu-Ling Lin

17 papers receiving 330 citations

Peers

Tzu-Ling Lin
Comparison fields: 5 of 91
  • Marketing 138
  • Management, Monitoring, Policy and Law 91
  • Environmental Chemistry 66
  • Health, Toxicology and Mutagenesis 71
  • Pollution 39
Replace Ilaria Benedetti with:
Ilaria Benedetti Italy
Christian E. H. Beaudrie Canada
Lauren Heine United States
Katarzyna Zagórska Poland
Nathan W. Chan United States
Maria do Rosário Ramos Portugal
Samuel Weniga Anuga Ghana
Nihal Ahmed Pakistan
Andrew M. Simons United States
Tzu-Ling Lin relative to Ilaria Benedetti Italy Ilaria Benedetti's profile →
Citations per field
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Ilaria Benedetti · 1×
Citations per year

Countries citing papers authored by Tzu-Ling Lin

Since Specialization
Citations

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

Fields of papers citing papers by Tzu-Ling Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu-Ling Lin. 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 Tzu-Ling Lin. The network helps show where Tzu-Ling Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Tzu-Ling Lin, 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 Tzu-Ling Lin Line = papers co-authored together Tzu-Ling Lin links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2014166
2 200843
3 200822
4 201622
5 200718
6 200915
7 201013
8 202011
9 20167
10 20114
11 20223
12
Understanding the Intention of Giving Information in Virtual Communities
20093
13 20203
14 20233
15 20232
16 20222
17 20162
18 20200
19 20220

About Tzu-Ling Lin

Tzu-Ling Lin is a scholar working on Health, Toxicology and Mutagenesis, Environmental Chemistry, Computer Networks and Communications, Clinical Psychology and Molecular Biology, having authored 19 papers that have together received 339 indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (4 papers), Heavy Metal Exposure and Toxicity (4 papers), Child Nutrition and Feeding Issues (2 papers), Autism Spectrum Disorder Research (2 papers), Family and Disability Support Research (2 papers), IoT and Edge/Fog Computing (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Chromium effects and bioremediation (1 paper). The work is most often cited by research in Marketing (138 citations), Management, Monitoring, Policy and Law (91 citations), Environmental Chemistry (66 citations), Health, Toxicology and Mutagenesis (71 citations) and Pollution (39 citations). Tzu-Ling Lin has collaborated with scholars based in Taiwan, United Kingdom and United States. Frequent co-authors include Hao‐Chen Huang, Tzong‐Huei Lin, Mei‐Chi Lai, Chung‐Min Liao, Szu‐Chieh Chen, Chi‐Ling Chen, Chien‐Jen Chen, Ling‐I Hsu, Nan‐Hung Hsieh and Wei‐Yu Chen. Their work appears in journals such as Autism, Journal of Hazardous Materials, The Science of The Total Environment, Journal of the Association for Information Systems and Urolithiasis.

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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