S.L. Ting

29 papers receiving 581 citations

Peers

S.L. Ting
Comparison fields: 5 of 91
  • Media Technology 114
  • Management Information Systems 114
  • Health Information Management 41
  • Strategy and Management 100
  • Medical Laboratory Technology 8
Replace Huihui Chi with:
Huihui Chi France
AKM Bahalul Haque Bangladesh
Kamanashis Biswas Australia
Ygal Bendavid Canada
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Wang‐Cheol Song South Korea
Khizar Abbas South Korea
Alessio Bechini Italy
Nishara Nizamuddin United Arab Emirates
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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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013116
2 200995
3 201195
4 201033
5 201128
6 201023
7 201321
8 201220
9 201118
10 201317
11 200917
12 201316
13 201113
14 201112
15 201212
16 201211
17 201010
18 201010
19
Enhancing the information transmission for pharmaceutical supply chain based on Radio Frequency Identification (RFID) and Internet of Things
20109
20
Design of an RFID-based inventory control and management system : a case study
20127

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 31 papers that have together received 616 indexed citations. Recurring topics across this work include RFID technology advancements (13 papers), Food Supply Chain Traceability (5 papers), Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (4 papers), Data Mining Algorithms and Applications (3 papers), User Authentication and Security Systems (3 papers), Semantic Web and Ontologies (3 papers) and Outsourcing and Supply Chain Management (2 papers). The work is most often cited by research in Media Technology (114 citations), Management Information Systems (114 citations), Health Information Management (41 citations), Strategy and Management (100 citations) and Medical Laboratory Technology (8 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.H. Ip, W.M. Wang and Chi Fai Cheung. Their work appears in journals such as Journal of Medical Systems, Expert Systems with Applications, Industrial Management & Data Systems, International Journal of Production Research and International Journal of Production Economics.

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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