Sea Ling

78 total papers · 720 total citations
61 papers, 380 citations indexed

About

Sea Ling is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Information Systems. According to data from OpenAlex, Sea Ling has authored 61 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Networks and Communications, 24 papers in Computer Vision and Pattern Recognition and 18 papers in Management Information Systems. Recurrent topics in Sea Ling's work include Context-Aware Activity Recognition Systems (24 papers), Business Process Modeling and Analysis (18 papers) and IoT and Edge/Fog Computing (14 papers). Sea Ling is often cited by papers focused on Context-Aware Activity Recognition Systems (24 papers), Business Process Modeling and Analysis (18 papers) and IoT and Edge/Fog Computing (14 papers). Sea Ling collaborates with scholars based in Australia, Estonia and India. Sea Ling's co-authors include Heinz Schmidt, Seng W. Loke, Maria Indrawan, Arkady Zaslavsky, Chii Chang, Pari Delir Haghighi, Satish Narayana Srirama, Prem Prakash Jayaraman, Alexey Medvedev and David Abramson and has published in prestigious journals such as Sensors, International Journal of Operations & Production Management and Future Generation Computer Systems.

In The Last Decade

Sea Ling

53 papers receiving 359 citations

Author Peers

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

Author Last Decade Papers Cites
Sea Ling 211 142 130 86 58 61 380
H.K. Pung 220 1.0× 143 1.0× 278 2.1× 61 0.7× 77 1.3× 22 439
Gabriele Kotsis 178 0.8× 129 0.9× 68 0.5× 27 0.3× 75 1.3× 92 429
Vangalur Alagar 174 0.8× 141 1.0× 82 0.6× 29 0.3× 94 1.6× 48 415
Andrew Fish 138 0.7× 110 0.8× 186 1.4× 36 0.4× 189 3.3× 68 440
Margaret L. Loper 143 0.7× 42 0.3× 54 0.4× 39 0.5× 121 2.1× 46 426
Pethuru Raj 108 0.5× 116 0.8× 142 1.1× 18 0.2× 74 1.3× 56 385
Slimane Hammoudi 88 0.4× 166 1.2× 45 0.3× 78 0.9× 125 2.2× 47 344
François Siewe 147 0.7× 165 1.2× 103 0.8× 20 0.2× 149 2.6× 68 436
Christoph Mayr‐Dorn 122 0.6× 216 1.5× 53 0.4× 33 0.4× 134 2.3× 78 400
Muhammad Raza Naqvi 93 0.4× 70 0.5× 54 0.4× 23 0.3× 109 1.9× 41 359

Countries citing papers authored by Sea Ling

Since Specialization
Citations

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

Fields of papers citing papers by Sea Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sea Ling

This figure shows the co-authorship network connecting the top 25 collaborators of Sea Ling. A scholar is included among the top collaborators of Sea 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 Sea Ling. Sea 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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2026