Sing Bing Kang

17.1k citations
178 papers · 10.8k indexed · 3 hit papers · h-index 56

Impact in

Papers in

Sing Bing Kang

174 papers receiving 10.1k citations

Hit Papers

Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling 2014 · 308 citations
30820042026201120182505007501000

Peers

Sing Bing Kang
Comparison fields: 5 of 144
  • Computer Graphics and Computer-Aided Design 1.8k
  • Computer Vision and Pattern Recognition 9.3k
  • Media Technology 2.3k
  • Geology 631
  • Signal Processing 857
Replace Daniel Scharstein with:
Daniel Scharstein United States
Katsushi Ikeuchi Japan
Michael F. Cohen United States
Dani Lischinski Israel
Stefano Soatto United States
Roberto Manduchi United States
Paul Debevec United States
Ren Ng United States
Jonathan T. Barron United States
In So Kweon South Korea
Sing Bing Kang relative to Daniel Scharstein United States Daniel Scharstein's profile →
Citations per field
00.5×1.6×
Daniel Scharstein · 1×
Citations per year

Countries citing papers authored by Sing Bing Kang

Since Specialization
Citations

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

Fields of papers citing papers by Sing Bing Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sing Bing Kang. 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 Sing Bing Kang. The network helps show where Sing Bing Kang may publish in the future.

Co-authors

The 25 scholars most cited alongside Sing Bing Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sing Bing Kang Line = papers co-authored together Sing Bing Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20185
3 201447
4 201455
5 201242
6
A viewer-centric editor for stereoscopic camera
20113
7 20091
8 20098
9 200892
10
Vision for Graphics
20071
11 2007206
12 200776
13 2007190
14 200635
15 200516
16
Emerging Topics in Computer Vision
2004151
17 200411
18 2001101
19
Radial Distortion Snakes
200021
20 20002

About Sing Bing Kang

Sing Bing Kang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Geology and Aerospace Engineering, having authored 178 papers that have together received 10.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (125 papers), Computer Graphics and Visualization Techniques (52 papers), Image Enhancement Techniques (45 papers), Advanced Image Processing Techniques (42 papers), Image Processing Techniques and Applications (31 papers), Optical measurement and interference techniques (23 papers), Robotics and Sensor-Based Localization (20 papers) and Advanced Image and Video Retrieval Techniques (18 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.8k citations), Computer Vision and Pattern Recognition (9.3k citations), Media Technology (2.3k citations), Geology (631 citations) and Signal Processing (857 citations). Sing Bing Kang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Richard Szeliski, C. Lawrence Zitnick, Simon Winder, Matthew Uyttendaele, Heung‐Yeung Shum, Katsushi Ikeuchi, Ce Liu, Andrew Johnson, Richard Hartley and William T. Freeman. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Visualization and Computer Graphics and Computer Vision and Image Understanding.

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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