Tobun D. Ng

1.1k total citations
34 papers, 734 citations indexed

About

Tobun D. Ng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Tobun D. Ng has authored 34 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Tobun D. Ng's work include Video Analysis and Summarization (10 papers), Semantic Web and Ontologies (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Tobun D. Ng is often cited by papers focused on Video Analysis and Summarization (10 papers), Semantic Web and Ontologies (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Tobun D. Ng collaborates with scholars based in United States, Hong Kong and Malaysia. Tobun D. Ng's co-authors include Bruce R. Schatz, Christopher C. Yang, Hsinchun Chen, Alexander G. Hauptmann, Hsinchun Chen, Michael G. Christel, Howard D. Wactlar, Hao Chen, Kevin J. Lynch and Rong Jin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Decision Support Systems.

In The Last Decade

Tobun D. Ng

32 papers receiving 653 citations

Peers

Tobun D. Ng
Comparison fields: 5 of 62
  • Artificial Intelligence 407
  • Information Systems 315
  • Computer Vision and Pattern Recognition 205
  • Signal Processing 106
  • Sociology and Political Science 77
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Mohand Boughanem France View profile →
Citations per field, relative to Tobun D. Ng
Tobun D. Ng · 1×
Citations per year, relative to Tobun D. Ng
Tobun D. Ng · 1×

Countries citing papers authored by Tobun D. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Tobun D. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobun D. Ng

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 2
3 3
4 34
5 5
6 3
7 9
8
Confounded Expectations: Informedia at TRECVID 2004.
26
9
Collages as Dynamic Summaries of Mined Video Content for Intelligent Multimedia Knowledge Management
10
10 28
11 13
12 5
13 56
14 0
15 23
16 4
17
Geo-Science self-organizing map and concept space
1
18 65
19 78
20 70

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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