Wencheng Wu

2.4k citations
36 papers · 1.7k indexed · 1 hit paper · h-index 9
Topics
Color Science and Applications (7 papers)Image Enhancement Techniques (7 papers)Video Surveillance and Tracking Methods (5 papers)
Partner nations
United StatesChinaFrance

In The Last Decade

Wencheng Wu

34 papers receiving 1.6k citations

Hit Papers

The CIEDE2000 color-difference formula: Implementation no...200420262011201820044008001.2k

Peers

Wencheng Wu
Comparison fields: 5 of 135
  • Computer Vision and Pattern Recognition 716
  • Atomic and Molecular Physics, and Optics 495
  • Orthodontics 304
  • Media Technology 271
  • Social Psychology 170
Replace Edul N. Dalal with:
Edul N. Dalal United States
Guihua Cui China
B. Rigg United Kingdom
Vien Cheung United Kingdom
Peilin Li China
Sachin Goyal India
Roberto Marani Italy
Shantanu Chakrabartty United States
Stephen D. Laycock United Kingdom
Roberto Alves Braga Brazil
Wencheng Wu relative to Edul N. Dalal United States Edul N. Dalal's profile →
Citations per field
00.5×1.5×
Edul N. Dalal · 1×
Citations per year

Countries citing papers authored by Wencheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wencheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wencheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wencheng Wu. A scholar is included among the top collaborators of Wencheng Wu 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 Wencheng Wu. Wencheng Wu 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
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2 1
3 1
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Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
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7 1
8 2
9 6
10 22
11 7
12 40
13 1
14 3
15 2
16 7
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Color Image Fidelity Assessor.
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18 1
19 40
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Using a Digital Camera for Colorimetry of Human Teeth.
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About Wencheng Wu

Wencheng Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and General Dentistry, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Color Science and Applications (7 papers), Image Enhancement Techniques (7 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Orthodontics (304 citations), Computer Vision and Pattern Recognition (716 citations) and Media Technology (271 citations). Wencheng Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Edul N. Dalal, Gaurav Sharma, Robert P. Loce, Edgar A. Bernal, Raja Bala, Mostafa Analoui, Jan P. Allebach, Reiner Eschbach, Orhan Bulan and Zhigang Fan. Their work appears in journals such as Mechanical Systems and Signal Processing, Journal of Heredity and Color Research & Application.

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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