Gengshen Wu

618 total citations
20 papers, 446 citations indexed

About

Gengshen Wu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Gengshen Wu has authored 20 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 4 papers in Media Technology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Gengshen Wu's work include Advanced Image and Video Retrieval Techniques (11 papers), Video Surveillance and Tracking Methods (5 papers) and Image Retrieval and Classification Techniques (5 papers). Gengshen Wu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (11 papers), Video Surveillance and Tracking Methods (5 papers) and Image Retrieval and Classification Techniques (5 papers). Gengshen Wu collaborates with scholars based in China, Macao and United Kingdom. Gengshen Wu's co-authors include Jungong Han, Guiguang Ding, Li Liu, Qiang Ni, Zijia Lin, Baochang Zhang, Ling Shao, Yuchen Guo, Jialie Shen and Yi Liu and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Expert Systems with Applications.

In The Last Decade

Gengshen Wu

16 papers receiving 439 citations

Peers

Gengshen Wu
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 389
  • Artificial Intelligence 85
  • Media Technology 34
  • Aerospace Engineering 31
  • Signal Processing 17
Replace Dayan Wu with:
Dayan Wu China
Zhen-Duo Chen China
Jinheng Xie China
Hengduo Li United States
Chenxin Tao China
Haoran Wang China
Zizheng Pan Australia
M. P. Pavan Kumar India
Dayan Wu China View profile →
Citations per field, relative to Gengshen Wu
Gengshen Wu · 1×
Citations per year, relative to Gengshen Wu
Gengshen Wu · 1×

Countries citing papers authored by Gengshen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Gengshen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengshen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Gengshen Wu. A scholar is included among the top collaborators of Gengshen 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 Gengshen Wu. Gengshen 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
# Work Indexed citations
1 0
2 0
3 4
4 0
5 0
6 2
7 4
8 7
9 6
10 39
11 3
12 1
13 16
14 2
15 27
16 70
17 123
18 120
19 21
20
A Study of Turbine Vibrationfault Diagnosis Based on an ARMA and a Neural Network
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026