Weijia Feng

645 citations
45 papers · 437 indexed · h-index 9
Topics
Advanced Vision and Imaging (6 papers)Optical measurement and interference techniques (6 papers)Face and Expression Recognition (4 papers)
Journals
SHILAP Revista de lepidopterologíaNeuroImageIEEE Access
Partner nations
ChinaFinlandGermany

In The Last Decade

Weijia Feng

38 papers receiving 427 citations

Peers

Weijia Feng
Comparison fields: 5 of 104
  • Cognitive Neuroscience 219
  • Computer Vision and Pattern Recognition 70
  • Cellular and Molecular Neuroscience 36
  • Artificial Intelligence 31
  • Experimental and Cognitive Psychology 28
Replace Gauthier Doquire with:
Gauthier Doquire Belgium
Hamid Aghajan Iran
Lihong Wang China
Yue Yu China
Luis E. Falcón-Morales Mexico
Ran Tao China
Chen‐Sen Ouyang Taiwan
Abdullah Çavuşoğlu Türkiye
Norliza Zaini Malaysia
Temel Kayıkçıoğlu Türkiye
Weijia Feng relative to Gauthier Doquire Belgium Gauthier Doquire's profile →
Citations per field
00.5×
Gauthier Doquire · 1×
Citations per year

Countries citing papers authored by Weijia Feng

Since Specialization
Citations

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

Fields of papers citing papers by Weijia Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Weijia Feng. A scholar is included among the top collaborators of Weijia Feng 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 Weijia Feng. Weijia Feng 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 0
2 0
3 0
4 1
5 1
6 3
7 2
8 3
9 8
10 6
11 5
12 8
13 0
14 1
15 7
16 81
17 6
18 1
19 11
20 204

About Weijia Feng

Weijia Feng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Medical Laboratory Technology, having authored 45 papers that have together received 437 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Optical measurement and interference techniques (6 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Cognitive Neuroscience (219 citations), Computer Vision and Pattern Recognition (70 citations) and Media Technology (21 citations). Weijia Feng has collaborated with scholars based in China, Finland and Germany. Frequent co-authors include Peipei Wang, Andrew C. N. Chen, Yanling Yin, Wolf Singer, Danko Nikolić, Raul C. Mureșan, Juha Röning, Baofeng Zhang, Jintao Chen and Weijun Gao. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Access.

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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