Ting-Chuen Pong

2.5k total citations
87 papers, 1.6k citations indexed

About

Ting-Chuen Pong is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing. According to data from OpenAlex, Ting-Chuen Pong has authored 87 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 15 papers in Human-Computer Interaction and 13 papers in Signal Processing. Recurrent topics in Ting-Chuen Pong's work include Advanced Vision and Imaging (26 papers), Video Analysis and Summarization (23 papers) and Image Retrieval and Classification Techniques (14 papers). Ting-Chuen Pong is often cited by papers focused on Advanced Vision and Imaging (26 papers), Video Analysis and Summarization (23 papers) and Image Retrieval and Classification Techniques (14 papers). Ting-Chuen Pong collaborates with scholars based in Hong Kong, United States and China. Ting-Chuen Pong's co-authors include Chong‐Wah Ngo, Hao Zhang, Zoltán Kató, William B. Thompson, R.T. Chin, Huamin Qu, Feng Wang, Linda G. Shapiro, Parinya Punpongsanon and Feng Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Ting-Chuen Pong

82 papers receiving 1.5k citations

Peers

Ting-Chuen Pong
Comparison fields: 5 of 111
  • Computer Vision and Pattern Recognition 1.2k
  • Signal Processing 222
  • Artificial Intelligence 213
  • Media Technology 155
  • Human-Computer Interaction 118
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Citations per field, relative to Ting-Chuen Pong
Ting-Chuen Pong · 1×
Citations per year, relative to Ting-Chuen Pong
Ting-Chuen Pong · 1×

Countries citing papers authored by Ting-Chuen Pong

Since Specialization
Citations

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

Fields of papers citing papers by Ting-Chuen Pong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-Chuen Pong. 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 Ting-Chuen Pong. The network helps show where Ting-Chuen Pong may publish in the future.

Co-authorship network of co-authors of Ting-Chuen Pong

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-Chuen Pong. A scholar is included among the top collaborators of Ting-Chuen Pong 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 Ting-Chuen Pong. Ting-Chuen Pong 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 4
2 10
3 49
4 5
5 61
6 2
7 85
8 26
9 20
10 26
11 2
12 82
13
The Computation of Stereo Disparity for Transparent and for Opaque Surfaces
3
14 2
15 6
16
Hypercube Algorithms for Some String Comparison Problems
6
17
Image Analysis of Cathodoluminescent-Zoned Calcite Cements: RESEARCH METHOD PAPER
2
18
The Visual Components of an Automated Inspected Task
1
19
Shape Estimation from Topographic Primal Sketch: an Initial Feasibility Study
1
20
The Facet Approach to Shape from Shading
5

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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