He Feng

627 citations
20 papers · 396 indexed · h-index 8
Topics
Generative Adversarial Networks and Image Synthesis (4 papers)Face recognition and analysis (4 papers)Industrial Vision Systems and Defect Detection (4 papers)
Journals
SHILAP Revista de lepidopterologíaSensorsPattern Recognition

In The Last Decade

He Feng

19 papers receiving 382 citations

Peers

He Feng
Comparison fields: 5 of 90
  • Information Systems 149
  • Signal Processing 95
  • Software 94
  • Computer Vision and Pattern Recognition 69
  • Artificial Intelligence 67
Replace Bhabani Shankar Prasad Mishra with:
Bhabani Shankar Prasad Mishra India
Yalin Liu China
Renate Sitte Australia
Moin Uddin India
Gunwant Dhadyalla United Kingdom
Yanli Shao China
Mohammed Ali Saudi Arabia
Tobias Kaupp Australia
Yuqi Chen China
Hongyu Sun China
He Feng relative to Bhabani Shankar Prasad Mishra India Bhabani Shankar Prasad Mishra's profile →
Citations per field
00.5×8.5×
Bhabani Shankar Prasad Mishra · 1×
Citations per year

Countries citing papers authored by He Feng

Since Specialization
Citations

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

Fields of papers citing papers by He Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He Feng

This figure shows the co-authorship network connecting the top 25 collaborators of He Feng. A scholar is included among the top collaborators of He 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 He Feng. He 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 8
2 17
3 2
4 8
5 1
6 5
7 96
8 84
9 5
10 10
11 1
12 1
13 2
14 3
15 132
16 5
17
Measurement and analysis of the timing delay for serial port in PC
0
18
The application of wavelet analysis technology on GPS data processing
1
19 7
20 8

About He Feng

He Feng is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 396 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (4 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Software (94 citations), Signal Processing (95 citations) and Information Systems (149 citations). He Feng has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Qing Ye, Barbara G. Ryder, Na Meng, Xin Ning, Weijun Li, Le Sun, Xiao Bai, Qiong Liu, Xiansheng Qin and Xin Song. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Pattern Recognition.

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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