Ka Chung Ng

20 total papers · 613 total citations
10 papers, 449 citations indexed

About

Ka Chung Ng is a scholar working on Information Systems, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Ka Chung Ng has authored 10 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. Recurrent topics in Ka Chung Ng's work include Caching and Content Delivery (2 papers), Quality and Supply Management (2 papers) and Misinformation and Its Impacts (2 papers). Ka Chung Ng is often cited by papers focused on Caching and Content Delivery (2 papers), Quality and Supply Management (2 papers) and Misinformation and Its Impacts (2 papers). Ka Chung Ng collaborates with scholars based in Hong Kong, Singapore and United States. Ka Chung Ng's co-authors include Yin Lin, Amin Tootoonchian, Vyas Sekar, Scott Shenker, Ali Ghodsi, Teemu Koponen, Bruce M. Maggs, Kar Yan Tam, Dongwon Lee and Xiaojun Zhang and has published in prestigious journals such as Journal of Management Information Systems, ACM SIGCOMM Computer Communication Review and Production and Operations Management.

In The Last Decade

Ka Chung Ng

10 papers receiving 430 citations

Hit Papers

Less pain, most of the gain 2013 2026 2017 2021 2013 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Ka Chung Ng 349 54 52 49 35 10 449
Alex Siegel 270 0.8× 10 0.2× 79 1.5× 18 0.4× 52 1.5× 11 452
Munyoung Lee 419 1.2× 79 1.5× 25 0.5× 31 0.6× 12 0.3× 17 475
Mohamed Ahmed 300 0.9× 14 0.3× 121 2.3× 51 1.0× 72 2.1× 22 459
Tingting Zhang 90 0.3× 21 0.4× 204 3.9× 53 1.1× 165 4.7× 18 419
Rui Duan 33 0.1× 36 0.7× 105 2.0× 174 3.6× 92 2.6× 14 439
Nitin Sharma 502 1.4× 21 0.4× 101 1.9× 30 0.6× 64 1.8× 6 544
Asad Ali Siyal 111 0.3× 7 0.1× 250 4.8× 14 0.3× 49 1.4× 9 503
Bruno Abrahão 157 0.4× 8 0.1× 93 1.8× 121 2.5× 81 2.3× 18 435
Bin Chong 58 0.2× 174 3.2× 197 3.8× 6 0.1× 18 0.5× 12 452
Huashan Chen 124 0.4× 18 0.3× 294 5.7× 18 0.4× 107 3.1× 14 422

Countries citing papers authored by Ka Chung Ng

Since Specialization
Citations

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

Fields of papers citing papers by Ka Chung Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ka Chung Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Ka Chung Ng. A scholar is included among the top collaborators of Ka Chung 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 Ka Chung Ng. Ka Chung 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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