Guowei Hong

10 papers receiving 367 citations

Peers

Guowei Hong
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 195
  • Atomic and Molecular Physics, and Optics 233
  • Media Technology 51
  • Industrial and Manufacturing Engineering 50
  • Sensory Systems 21
Replace Peter G. Engeldrum with:
Peter G. Engeldrum United States
Michael Stokes United States
Ethan D. Montag United States
Eva M. Valero Spain
Ronnier Luo United Kingdom
Juan L. Nieves Spain
G.G. Attridge United Kingdom
Arash Akbarinia Germany
Ramon Miró Baldrich Spain
Seyed Ali Amirshahi Norway
Guowei Hong relative to Peter G. Engeldrum United States Peter G. Engeldrum's profile →
Citations per field
00.5×5.5×
Peter G. Engeldrum · 1×
Citations per year

Countries citing papers authored by Guowei Hong

Since Specialization
Citations

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

Fields of papers citing papers by Guowei Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guowei Hong. 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 Guowei Hong. The network helps show where Guowei Hong may publish in the future.

Co-authors

The 10 scholars most cited alongside Guowei Hong, 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 Guowei Hong Line = papers co-authored together Guowei Hong links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2000291
2
A study of digital camera colorimetric characterisation based on polynomial modelling
200146
3 200623
4 200215
5 201012
6 20023
7 20232
8 20022
9 20241
10 19951
11 20240

About Guowei Hong

Guowei Hong is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Social Psychology, Signal Processing and Sensory Systems, having authored 11 papers that have together received 396 indexed citations. Recurring topics across this work include Color Science and Applications (6 papers), Image Enhancement Techniques (4 papers), Industrial Vision Systems and Defect Detection (2 papers), Image and Signal Denoising Methods (2 papers), Color perception and design (2 papers), Infrared Target Detection Methodologies (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Vestibular and auditory disorders (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (195 citations), Atomic and Molecular Physics, and Optics (233 citations), Media Technology (51 citations), Industrial and Manufacturing Engineering (50 citations) and Sensory Systems (21 citations). Guowei Hong has collaborated with scholars based in United Kingdom, China and Taiwan. Frequent co-authors include Ming Ronnier Luo, Peter A. Rhodes, Ming Ronnier Luo, Kaida Xiao, Changjun Li, Trevor J. Terrell, G. Hall, Bing Han, Mei Yang and Hao‐Li Liu. Their work appears in journals such as Color Research & Application, Journal of Clinical Medicine, Otology & Neurotology, International Journal of Remote Sensing and The Imaging Science Journal.

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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