Yongchang Wang

2.0k citations
18 papers · 1.6k indexed · h-index 13
Topics
Optical measurement and interference techniques (7 papers)Neural dynamics and brain function (4 papers)Visual perception and processing mechanisms (4 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Yongchang Wang

18 papers receiving 1.5k citations

Peers

Yongchang Wang
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 701
  • Cognitive Neuroscience 588
  • Cellular and Molecular Neuroscience 295
  • Media Technology 285
  • Mechanical Engineering 223
Replace Hanspeter A. Mallot with:
Hanspeter A. Mallot Germany
Ohad Ben‐Shahar Israel
Piotr Dudek United Kingdom
Koichi Hashimoto Japan
Daniel Kersten United States
Nicolas Franceschini France
Shin’ya Nishida Japan
Hans Wallach United States
J. Farley Norman United States
Daisuke Iwai Japan
Yongchang Wang relative to Hanspeter A. Mallot Germany Hanspeter A. Mallot's profile →
Citations per field
00.5×2.5×
Hanspeter A. Mallot · 1×
Citations per year

Countries citing papers authored by Yongchang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yongchang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongchang Wang

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 1
3 58
4 86
5 32
6 274
7 157
8 31
9
Novel Approaches in Structured Light Illumination
2
10 59
11 45
12 8
13 11
14 15
15 458
16 37
17 116
18 240

About Yongchang Wang

Yongchang Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Geology, having authored 18 papers that have together received 1.6k indexed citations. Recurring topics across this work include Optical measurement and interference techniques (7 papers), Neural dynamics and brain function (4 papers) and Visual perception and processing mechanisms (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (701 citations), Media Technology (285 citations) and Cognitive Neuroscience (588 citations). Yongchang Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Barrie J. Frost, Daniel L. Lau, Laurence G. Hassebrook, Qi Hao, Kai Liu, Yifeng Zhou, Mingliang Pu, Audie G. Leventhal, Yuanye Ma and Shu‐Rong Wang. Their work appears in journals such as Nature, Science and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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