Deng-Yuan Huang

1.4k total citations
59 papers, 922 citations indexed

About

Deng-Yuan Huang is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Management Science and Operations Research. According to data from OpenAlex, Deng-Yuan Huang has authored 59 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Statistics and Probability and 11 papers in Management Science and Operations Research. Recurrent topics in Deng-Yuan Huang's work include Video Surveillance and Tracking Methods (16 papers), Face and Expression Recognition (13 papers) and Advanced Statistical Methods and Models (11 papers). Deng-Yuan Huang is often cited by papers focused on Video Surveillance and Tracking Methods (16 papers), Face and Expression Recognition (13 papers) and Advanced Statistical Methods and Models (11 papers). Deng-Yuan Huang collaborates with scholars based in Taiwan, United States and China. Deng-Yuan Huang's co-authors include Wu-Chih Hu, Chia‐Hung Wang, Chao-Ho Chen, Tsong-Yi Chen, Shanti S. Gupta, Sheng‐Tsaing Tseng, S. Panchapakesan, Raymond J. Carroll, Kuo-Chuan Liu and Yanting Ye and has published in prestigious journals such as Journal of the American Statistical Association, Management Science and European Journal of Operational Research.

In The Last Decade

Deng-Yuan Huang

53 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deng-Yuan Huang Taiwan 16 576 141 121 107 93 59 922
Haibin Huang China 17 1.0k 1.8× 58 0.4× 260 2.1× 111 1.0× 20 0.2× 46 1.4k
Qing Han China 13 336 0.6× 25 0.2× 85 0.7× 145 1.4× 44 0.5× 42 536
Yilun Chen China 13 213 0.4× 17 0.1× 36 0.3× 86 0.8× 41 0.4× 45 1.0k
Joseph Lemley Ireland 12 315 0.5× 92 0.7× 43 0.4× 238 2.2× 6 0.1× 43 803
Yidong Chen China 16 274 0.5× 147 1.0× 25 0.2× 501 4.7× 11 0.1× 99 899
Kah Kay Sung Singapore 8 1.2k 2.0× 68 0.5× 144 1.2× 336 3.1× 7 0.1× 12 1.4k
R. Unnikrishnan United States 14 430 0.7× 70 0.5× 116 1.0× 89 0.8× 11 0.1× 41 813
Jarmo Ilonen Finland 13 186 0.3× 14 0.1× 44 0.4× 363 3.4× 13 0.1× 21 907
Zeyi Huang United States 10 522 0.9× 8 0.1× 114 0.9× 290 2.7× 47 0.5× 27 1.3k
Eric Pauwels Netherlands 14 418 0.7× 23 0.2× 129 1.1× 57 0.5× 6 0.1× 65 666

Countries citing papers authored by Deng-Yuan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Deng-Yuan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deng-Yuan Huang. 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 Deng-Yuan Huang. The network helps show where Deng-Yuan Huang may publish in the future.

Co-authorship network of co-authors of Deng-Yuan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Deng-Yuan Huang. A scholar is included among the top collaborators of Deng-Yuan Huang 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 Deng-Yuan Huang. Deng-Yuan Huang 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
1.
Huang, Deng-Yuan, et al.. (2020). High-efficiency face detection and tracking method for numerous pedestrians through face candidate generation. Multimedia Tools and Applications. 80(1). 1247–1272. 6 indexed citations
2.
Huang, Deng-Yuan, et al.. (2016). A Vehicle Flow Counting System in Rainy Environment Based on Vehicle Feature Analysis.. J. Inf. Hiding Multim. Signal Process.. 7. 101–114. 4 indexed citations
3.
Gupta, Shanti S. & Deng-Yuan Huang. (2016). SUBSET SELECTION PROCEDURES FOR THE MEANS AND VARIANCES OF NORMAL POPULATIONS : UNEQUAL SAMPLE SIZES CASE*. 2 indexed citations
4.
Huang, Deng-Yuan, et al.. (2015). Robustness of copy-move forgery detection under high JPEG compression artifacts. Multimedia Tools and Applications. 76(1). 1509–1530. 54 indexed citations
5.
Huang, Deng-Yuan, et al.. (2014). Face Recognition Using the Diagonal Relative Gradient Method in a Low Illumination Environment. 310(323). 310–323. 2 indexed citations
6.
Huang, Deng-Yuan, et al.. (2014). Rapid detection of camera tampering and abnormal disturbance for video surveillance system. Journal of Visual Communication and Image Representation. 25(8). 1865–1877. 13 indexed citations
7.
Huang, Deng-Yuan, et al.. (2012). Reliable moving vehicle detection based on the filtering of swinging tree leaves and raindrops. Journal of Visual Communication and Image Representation. 23(4). 648–664. 17 indexed citations
8.
Hu, Wu-Chih, et al.. (2011). Feature-based Face Detection Against Skin-color Like Backgrounds with Varying Illumination. J. Inf. Hiding Multim. Signal Process.. 2. 123–132. 25 indexed citations
9.
Huang, Deng-Yuan, et al.. (2011). Learning-based Face Detection by Adaptive Switching of Skin Color Models and AdaBoost under Varying Illumination. J. Inf. Hiding Multim. Signal Process.. 2. 204–216. 19 indexed citations
10.
Hu, Wu-Chih, Chao-Ho Chen, Deng-Yuan Huang, & Yanting Ye. (2011). Video object segmentation in rainy situations based on difference scheme with object structure and color analysis. Journal of Visual Communication and Image Representation. 23(2). 303–312. 8 indexed citations
11.
Hu, Wu-Chih, et al.. (2010). Automatic Video Object Segmentation with Opacity Estimate. 2. 683–686. 1 indexed citations
12.
Huang, Deng-Yuan, et al.. (2009). On some methods for performance ranking and correspondence analysis in the DEA context. European Journal of Operational Research. 203(3). 771–783. 22 indexed citations
13.
Chen, Chuan, et al.. (2007). Learning Mixture Models for Classification with Energy Combination = Učenje mešanih modelov računalniške klasifikacije. Management Science. 2(3). 203–214. 2 indexed citations
14.
Huang, Deng-Yuan, et al.. (2007). On Some Multiple Decision Procedures for Normal Variances. Communications in Statistics - Simulation and Computation. 36(2). 265–275.
15.
Huang, Deng-Yuan, et al.. (1995). Selecting the largest capability index from several quality control processes. Journal of Statistical Planning and Inference. 46(3). 335–346. 23 indexed citations
16.
Huang, Deng-Yuan & Kuo-Chuan Liu. (1994). Some variable selection procedures in multivariate linear regression models. Journal of Statistical Planning and Inference. 41(2). 205–214. 6 indexed citations
17.
Gupta, Shanti S. & Deng-Yuan Huang. (1990). Selecting important independent variables in linear regression models. Journal of Statistical Planning and Inference. 24(2). 269–269. 1 indexed citations
18.
Gupta, Shanti S. & Deng-Yuan Huang. (1988). Selecting important independent variables in linear regression models. Journal of Statistical Planning and Inference. 20(2). 155–167. 6 indexed citations
19.
Gupta, Shanti S. & Deng-Yuan Huang. (1981). Multiple Statistical Decision Theory: Recent Developments. Lecture notes in statistics. 22 indexed citations
20.
Huang, Deng-Yuan. (1976). On some selection procedures for normal means problems with unequal sample sizes. Communication in Statistics- Theory and Methods. 5(15). 1489–1499.

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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