Tan Ching Ng

31 total papers · 1.5k total citations
20 papers, 1.1k citations indexed

About

Tan Ching Ng is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Strategy and Management. According to data from OpenAlex, Tan Ching Ng has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Strategy and Management. Recurrent topics in Tan Ching Ng's work include Quality and Supply Management (6 papers), Digital Transformation in Industry (5 papers) and Sustainable Supply Chain Management (4 papers). Tan Ching Ng is often cited by papers focused on Quality and Supply Management (6 papers), Digital Transformation in Industry (5 papers) and Sustainable Supply Chain Management (4 papers). Tan Ching Ng collaborates with scholars based in Malaysia, Iran and Sweden. Tan Ching Ng's co-authors include Morteza Ghobakhloo, Ming Chian Yew, Lip Huat Saw, Ming Kun Yew, Farazila Yusof, Mohammad Iranmanesh, Parisa Maroufkhani, Shahla Asadi, Wen Tong Chong and Yonghuang Ye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Tan Ching Ng

20 papers receiving 1.1k citations

Hit Papers

Adoption of digital techn... 2019 2026 2021 2023 2019 2021 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tan Ching Ng 334 301 224 194 164 20 1.1k
Vishal Ashok Wankhede 418 1.3× 346 1.1× 433 1.9× 133 0.7× 163 1.0× 37 1.3k
Mohd Suhaib 226 0.7× 267 0.9× 165 0.7× 312 1.6× 143 0.9× 56 1.0k
Luca Silvestri 282 0.8× 158 0.5× 189 0.8× 296 1.5× 125 0.8× 73 1.3k
Roger Ivor Grosvenor 684 2.0× 269 0.9× 132 0.6× 133 0.7× 175 1.1× 68 1.3k
Jian Qin 805 2.4× 478 1.6× 133 0.6× 111 0.6× 168 1.0× 37 1.5k
E. Ares 561 1.7× 214 0.7× 245 1.1× 61 0.3× 230 1.4× 51 980
Rajeev Agrawal 473 1.4× 297 1.0× 325 1.5× 75 0.4× 191 1.2× 62 1.2k
F. Javier Ramírez 357 1.1× 222 0.7× 379 1.7× 358 1.8× 75 0.5× 51 1.4k
Yandong He 262 0.8× 100 0.3× 346 1.5× 73 0.4× 160 1.0× 40 1.1k
Roza Dastres 432 1.3× 172 0.6× 61 0.3× 127 0.7× 89 0.5× 20 1.2k

Countries citing papers authored by Tan Ching Ng

Since Specialization
Citations

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

Fields of papers citing papers by Tan Ching Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tan Ching Ng. 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 Tan Ching Ng. The network helps show where Tan Ching Ng may publish in the future.

Co-authorship network of co-authors of Tan Ching Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Tan Ching Ng. A scholar is included among the top collaborators of Tan Ching Ng 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 Tan Ching Ng. Tan Ching Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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