N.H.C. Yung

97 papers receiving 2.4k citations

Hit Papers

Automated fabric defect detection—A review20112026201620212011100200300

Peers

N.H.C. Yung
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 1.7k
  • Industrial and Manufacturing Engineering 710
  • Media Technology 603
  • Artificial Intelligence 374
  • Automotive Engineering 359
Replace Arturo de la Escalera with:
Arturo de la Escalera Spain
Wujie Zhou China
José María Armingol Spain
Philip Lenz Germany
Ángel D. Sappa Spain
Errui Ding China
Yaowei Wang China
Xinge Zhu China
Hongbin Zha China
Yanlong Cao China
N.H.C. Yung relative to Arturo de la Escalera Spain Arturo de la Escalera's profile →
Citations per field
00.5×3.8×
Arturo de la Escalera · 1×
Citations per year

Countries citing papers authored by N.H.C. Yung

Since Specialization
Citations

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

Fields of papers citing papers by N.H.C. Yung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.H.C. Yung. 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 N.H.C. Yung. The network helps show where N.H.C. Yung may publish in the future.

Co-authorship network of co-authors of N.H.C. Yung

This figure shows the co-authorship network connecting the top 25 collaborators of N.H.C. Yung. A scholar is included among the top collaborators of N.H.C. Yung 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 N.H.C. Yung. N.H.C. Yung 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
#WorkIndexed citations
1 28
2 26
3 2
4 5
5 20
6 0
7 68
8 182
9
Watershed segmentation with boundary curvature ratio based merging criterion
12
10 67
11 13
12 113
13 13
14 2
15 0
16 1
17 86
18 67
19
A VIDEO-BASED SYSTEM METHODOLOGY FOR DETECTING RED LIGHT RUNNERS
15
20
Vision assistant software : a practical introduction to image processing and pattern classifiers
4

About N.H.C. Yung

N.H.C. Yung is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 107 papers that have together received 2.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Advanced Vision and Imaging (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Industrial and Manufacturing Engineering (710 citations) and Media Technology (603 citations). N.H.C. Yung has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include G.K.H. Pang, Henry Y. T. Ngan, A.H.S. Lai, Xingjian He, Clement Chun Cheong Pang, George S. K. Fung, Wan-Yi Lam, Danwei Wang, Lu Wang and Lu Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026