Xiangfeng Wang

400 citations
20 papers · 171 indexed · h-index 6
Topics
Medical Image Segmentation Techniques (4 papers)Advanced Neural Network Applications (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Xiangfeng Wang

16 papers receiving 168 citations

Peers

Xiangfeng Wang
Comparison fields: 5 of 68
  • Artificial Intelligence 63
  • Computer Vision and Pattern Recognition 60
  • Computer Networks and Communications 26
  • Radiology, Nuclear Medicine and Imaging 23
  • Information Systems 20
Replace Vinoth Kumar Venkatesan with:
Vinoth Kumar Venkatesan India
Thulasi Bikku India
Mehmood Ali Mohammed United States
Godwin Brown Tunze Tanzania
Radha Raman Chandan India
Firas Husham Almukhtar Iraq
Kapil Kumar Nagwanshi India
M. Ramya India
G. N. Vivekananda India
Xiangfeng Wang relative to Vinoth Kumar Venkatesan India Vinoth Kumar Venkatesan's profile →
Citations per field
00.5×1.5×2.1×
Vinoth Kumar Venkatesan · 1×
Citations per year

Countries citing papers authored by Xiangfeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiangfeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangfeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiangfeng Wang. A scholar is included among the top collaborators of Xiangfeng 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 Xiangfeng Wang. Xiangfeng Wang 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 2
2 4
3 1
4 11
5 3
6 0
7 0
8 0
9 10
10 2
11 2
12 0
13 4
14 1
15 4
16 19
17 66
18 1
19 32
20 9

About Xiangfeng Wang

Xiangfeng Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications, having authored 20 papers that have together received 171 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Advanced Neural Network Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (4 citations), Computer Vision and Pattern Recognition (60 citations) and Artificial Intelligence (63 citations). Xiangfeng Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Bo Jin, Wenhao Li, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Hongyuan Zha, Junchi Yan, Stephen M. Chu, Xin Liu and Shuai Xiao. Their work appears in journals such as Sensors, Pattern Recognition and Neural Networks.

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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