Teck Chaw Ling

63 total papers · 647 total citations
48 papers, 429 citations indexed

About

Teck Chaw Ling is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Teck Chaw Ling has authored 48 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 18 papers in Information Systems and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Teck Chaw Ling's work include Software-Defined Networks and 5G (14 papers), Cloud Computing and Resource Management (13 papers) and Parallel Computing and Optimization Techniques (10 papers). Teck Chaw Ling is often cited by papers focused on Software-Defined Networks and 5G (14 papers), Cloud Computing and Resource Management (13 papers) and Parallel Computing and Optimization Techniques (10 papers). Teck Chaw Ling collaborates with scholars based in Malaysia, Pakistan and South Korea. Teck Chaw Ling's co-authors include Chee Sun Liew, Tan Fong Ang, Atif Manzoor, JongWon Kim, Syed Asad Hussain, Chun Yong Chong, Sai Peck Lee, Lip Yee Por, Sunho Lim and Eric Aubanel and has published in prestigious journals such as ACM Computing Surveys, Applied Sciences and Information and Software Technology.

In The Last Decade

Teck Chaw Ling

46 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Teck Chaw Ling	322	210	94	81	80	48	429
E. M. Saad	185 0.6×	100 0.5×	99 1.1×	100 1.2×	61 0.8×	75	410
Yanjun Zhang	196 0.6×	90 0.4×	189 2.0×	28 0.3×	112 1.4×	49	469
James P. Black	200 0.6×	79 0.4×	155 1.6×	111 1.4×	61 0.8×	45	449
Errin W. Fulp	359 1.1×	155 0.7×	154 1.6×	35 0.4×	84 1.1×	40	450
Lorenzo De Carli	206 0.6×	84 0.4×	110 1.2×	45 0.6×	143 1.8×	46	398
Xing Gao	205 0.6×	154 0.7×	190 2.0×	56 0.7×	25 0.3×	29	394
Héctor A. Durán-Limón	294 0.9×	220 1.0×	169 1.8×	39 0.5×	55 0.7×	40	425
Murali Emani	141 0.4×	74 0.4×	117 1.2×	61 0.8×	128 1.6×	36	395
Gabi Dreo Rodosek	330 1.0×	132 0.6×	149 1.6×	68 0.8×	24 0.3×	81	462
Chan-Gun Lee	184 0.6×	200 1.0×	108 1.1×	73 0.9×	51 0.6×	51	442

Countries citing papers authored by Teck Chaw Ling

Since Specialization

Citations

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

Fields of papers citing papers by Teck Chaw Ling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teck Chaw Ling. 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 Teck Chaw Ling. The network helps show where Teck Chaw Ling may publish in the future.

Co-authorship network of co-authors of Teck Chaw Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Teck Chaw Ling. A scholar is included among the top collaborators of Teck Chaw Ling 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 Teck Chaw Ling. Teck Chaw Ling 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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