R.T. Chin

6.7k total citations · 1 hit paper
80 papers, 4.8k citations indexed

About

R.T. Chin is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Industrial and Manufacturing Engineering. According to data from OpenAlex, R.T. Chin has authored 80 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Mechanics and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in R.T. Chin's work include Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (17 papers) and Image and Signal Denoising Methods (15 papers). R.T. Chin is often cited by papers focused on Medical Image Segmentation Techniques (22 papers), Image Retrieval and Classification Techniques (17 papers) and Image and Signal Denoising Methods (15 papers). R.T. Chin collaborates with scholars based in United States, Hong Kong and Singapore. R.T. Chin's co-authors include Charles R. Dyer, Charles A. Harlow, N.P. Galatsanos, Chong‐Wah Ngo, Ting-Chuen Pong, Hochong Park, Aggelos K. Katsaggelos, William K. Cheung, Michael R. Lyu and Dit‐Yan Yeung and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

R.T. Chin

76 papers receiving 4.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On image analysis by the methods of moments

1988 1.1k citations R.T. Chin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
R.T. Chin United States	27	4.0k	798	518	490	387	80	4.8k
Gunnar Sparr Sweden	14	3.6k 0.9×	538 0.7×	127 0.2×	488 1.0×	338 0.9×	35	5.1k
O.R. Mitchell United States	23	2.4k 0.6×	550 0.7×	151 0.3×	356 0.7×	106 0.3×	80	3.1k
Joonki Paik South Korea	33	3.7k 0.9×	1.6k 2.0×	131 0.3×	403 0.8×	299 0.8×	411	4.6k
Jan Puzicha Germany	16	5.1k 1.3×	585 0.7×	106 0.2×	979 2.0×	514 1.3×	27	6.4k
Yee‐Hong Yang Canada	36	2.9k 0.7×	618 0.8×	109 0.2×	389 0.8×	214 0.6×	162	3.7k
Charles R. Dyer United States	33	4.4k 1.1×	496 0.6×	161 0.3×	846 1.7×	373 1.0×	123	5.7k
Rae‐Hong Park South Korea	31	3.1k 0.8×	792 1.0×	122 0.2×	368 0.8×	155 0.4×	274	3.8k
Ming-Kuei Hu United States	5	3.7k 0.9×	701 0.9×	207 0.4×	482 1.0×	131 0.3×	9	5.2k
Michael Werman Israel	28	3.5k 0.9×	775 1.0×	83 0.2×	412 0.8×	361 0.9×	117	4.6k
Glenn Healey United States	23	2.0k 0.5×	1.3k 1.7×	116 0.2×	293 0.6×	202 0.5×	144	3.1k

Countries citing papers authored by R.T. Chin

Since Specialization

Citations

This map shows the geographic impact of R.T. Chin'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 R.T. Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.T. Chin more than expected).

Fields of papers citing papers by R.T. Chin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.T. Chin. 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 R.T. Chin. The network helps show where R.T. Chin may publish in the future.

Co-authorship network of co-authors of R.T. Chin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Wong, P.H.W., et al.. (2005). Rate estimation for H.264/AVC spatial resolution reduction. 4. 2773–2776. 1 indexed citations

2.

Lyu, Michael R., et al.. (2004). Copyright protection on the web. 354–354. 9 indexed citations

3.

Lyu, Michael R., et al.. (2004). Copyright protection on the web. 1 indexed citations

4.

Chin, R.T., et al.. (2003). Restoration of images with nonstationary mean and autocorrelation. smc 6. 1008–1011. 1 indexed citations

5.

Hajj, Hazem, Truong Q. Nguyen, & R.T. Chin. (2002). On multi-scale feature detection using filter banks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1. 70–74. 6 indexed citations

6.

Ngo, Chong‐Wah, Ting-Chuen Pong, Hao Zhang, & R.T. Chin. (2002). Motion characterization by temporal slices analysis. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2. 768–773. 26 indexed citations

7.

Chin, R.T., et al.. (1998). Morphological Scale Space for 2D Shape Smoothing. Computer Vision and Image Understanding. 70(2). 121–141. 12 indexed citations

8.

Chin, R.T., et al.. (1996). Automated analysis of nerve-cell images using active contour models. IEEE Transactions on Medical Imaging. 15(3). 353–368. 61 indexed citations

9.

Chin, R.T., et al.. (1996). Comments on "On the invertibility of morphological representation of binary images" [with reply]. IEEE Transactions on Image Processing. 5(3). 529–532. 3 indexed citations

10.

Cheung, William K., Dit Yan Yeung, & R.T. Chin. (1995). A unified framework for handwritten character recognition using deformable models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 344–348. 3 indexed citations

11.

Chin, R.T., et al.. (1993). RECONSTRUCTABLE PARALLEL THINNING. International Journal of Pattern Recognition and Artificial Intelligence. 7(5). 1145–1181. 9 indexed citations

12.

Galatsanos, N.P., et al.. (1991). Least squares restoration of multichannel images. IEEE Transactions on Signal Processing. 39(10). 2222–2236. 132 indexed citations

13.

Galatsanos, N.P., et al.. (1991). Two methods for least squares multi-channel image restoration. 2509–2512 vol.4. 1 indexed citations

14.

Chin, R.T., et al.. (1990). Shape analysis using mathematical morphology. 206–206. 6 indexed citations

15.

Chin, R.T.. (1987). A onepass thining algorithm and its parallel implementation. Medical Entomology and Zoology. 40. 30–40. 2 indexed citations

16.

Chin, R.T., et al.. (1987). A one-pass thinning algorithm and its parallel implementation. Computer Vision Graphics and Image Processing. 38(2). 227–227. 3 indexed citations

17.

Chin, R.T., et al.. (1985). Restoration of Multichannel Microwave Radiometric Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-7(4). 475–484. 10 indexed citations

18.

Chin, R.T., et al.. (1983). Restoration of Multichannel Microwave Imagery To Estimate Rainfall Rates in Hurricanes. WA21–WA21. 1 indexed citations

19.

Chin, R.T. & Charles A. Harlow. (1982). Automated Visual Inspection: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-4(6). 557–573. 300 indexed citations

20.

Lennette, Edwin H., et al.. (1953). The 1952 outbreak of encephalitis in California; laboratory methods for etiologic diagnosis.. PubMed. 79(2). 78–83. 3 indexed citations

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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