S.L. Ting

29 papers receiving 502 citations

Peers

S.L. Ting
Comparison fields: 5 of 95
  • Media Technology 99
  • Management Information Systems 97
  • Health Information Management 42
  • Strategy and Management 92
  • Industrial and Manufacturing Engineering 51
Replace Ygal Bendavid with:
Ygal Bendavid Canada
Huihui Chi France
Wang‐Cheol Song South Korea
Elisabeth Ilie‐Zudor Hungary
Khizar Abbas South Korea
Prateek Pandey India
Valerie Tang Hong Kong
Kamanashis Biswas Australia
Omed Hassan Ahmed Iraq
Muhammad Afaq South Korea
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Citations per year

Countries citing papers authored by S.L. Ting

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.L. 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 S.L. Ting. The network helps show where S.L. Ting may publish in the future.

Co-authors

The 22 scholars most cited alongside S.L. Ting, 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 S.L. Ting Line = papers co-authored together S.L. Ting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013105
2 201183
3 200982
4 201029
5 201123
6 201020
7 201318
8 201217
9 201316
10 201114
11 200913
12 201113
13 201312
14 201112
15 201211
16 201010
17 201210
18 20109
19
Enhancing the information transmission for pharmaceutical supply chain based on Radio Frequency Identification (RFID) and Internet of Things
20107
20 20136

About S.L. Ting

S.L. Ting is a scholar working on Media Technology, Information Systems, Molecular Biology, Health Information Management and Artificial Intelligence, having authored 29 papers that have together received 536 indexed citations. Recurring topics across this work include RFID technology advancements (12 papers), Food Supply Chain Traceability (5 papers), Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (4 papers), Semantic Web and Ontologies (3 papers), Data Mining Algorithms and Applications (3 papers), User Authentication and Security Systems (3 papers) and Advanced Authentication Protocols Security (2 papers). The work is most often cited by research in Media Technology (99 citations), Management Information Systems (97 citations), Health Information Management (42 citations), Strategy and Management (92 citations) and Industrial and Manufacturing Engineering (51 citations). S.L. Ting has collaborated with scholars based in Hong Kong, United Kingdom and Australia. Frequent co-authors include Albert Tsang, S.K. Kwok, G.T.S. Ho, Wing Bun Lee, Ying Kei Tse, Sai‐Ho Chung, Gu Pang, W.M. Wang, W.H. Ip and Chi Fai Cheung. Their work appears in journals such as Journal of Medical Systems, Industrial Management & Data Systems, Expert Systems with Applications, International Journal of Production Research and Computers in Industry.

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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