Ghim-Eng Yap

16 total papers · 429 total citations
13 papers, 189 citations indexed

About

Ghim-Eng Yap is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ghim-Eng Yap has authored 13 papers receiving a total of 189 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 4 papers in Information Systems. Recurrent topics in Ghim-Eng Yap's work include Context-Aware Activity Recognition Systems (4 papers), Recommender Systems and Techniques (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Ghim-Eng Yap is often cited by papers focused on Context-Aware Activity Recognition Systems (4 papers), Recommender Systems and Techniques (3 papers) and Human Mobility and Location-Based Analysis (3 papers). Ghim-Eng Yap collaborates with scholars based in Singapore, India and United Kingdom. Ghim-Eng Yap's co-authors include HweeHwa Pang, Ah‐Hwee Tan, Song Huat Yeo, Kelvin Sim, Clifton Phua, Zeyar Aung, Gao Cong, Dhaval Patel, Ee‐Peng Lim and Feida Zhu and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Machine Learning Research and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Ghim-Eng Yap

13 papers receiving 172 citations

Author Peers

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

Author Last Decade Papers Cites
Ghim-Eng Yap 79 76 52 30 26 13 189
Jing Gao 86 1.1× 77 1.0× 45 0.9× 103 3.4× 23 0.9× 12 258
Wolfgang Trumler 47 0.6× 48 0.6× 47 0.9× 94 3.1× 16 0.6× 19 166
Aniello De Santo 76 1.0× 60 0.8× 21 0.4× 47 1.6× 17 0.7× 20 201
Hoda El-Sayed 76 1.0× 29 0.4× 19 0.4× 43 1.4× 18 0.7× 17 210
Frederik Mallmann-Trenn 72 0.9× 20 0.3× 25 0.5× 39 1.3× 12 0.5× 19 187
Yiran Zhao 97 1.2× 21 0.3× 25 0.5× 37 1.2× 24 0.9× 15 184
Barbara Schmidt-Belz 61 0.8× 46 0.6× 34 0.7× 35 1.2× 14 0.5× 10 179
Olivier Marin 55 0.7× 52 0.7× 25 0.5× 122 4.1× 27 1.0× 14 251
Najwa Aaraj 156 2.0× 92 1.2× 40 0.8× 39 1.3× 22 0.8× 12 229
Zhiping Xiao 95 1.2× 19 0.3× 40 0.8× 14 0.5× 15 0.6× 13 180

Countries citing papers authored by Ghim-Eng Yap

Since Specialization
Citations

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

Fields of papers citing papers by Ghim-Eng Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ghim-Eng Yap. 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 Ghim-Eng Yap. The network helps show where Ghim-Eng Yap may publish in the future.

Co-authorship network of co-authors of Ghim-Eng Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Ghim-Eng Yap. A scholar is included among the top collaborators of Ghim-Eng Yap 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 Ghim-Eng Yap. Ghim-Eng Yap 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