Yang Feng

3.4k citations
126 papers · 1.7k · h-index 22

Impact in

Papers in

Yang Feng

111 papers receiving 1.6k citations

Peers

Yang Feng
Comparison fields: 5 of 142
  • Computer Vision and Pattern Recognition 479
  • Artificial Intelligence 691
  • Media Technology 125
  • Organic Chemistry 346
  • Health Informatics 12
Replace Tae‐Seong Kim with:
Tae‐Seong Kim South Korea
Qi Sun China
Haoran Li China
Jian Zheng China
Muhammad Aksam Iftikhar Pakistan
Hongkai Wang China
Guihua Wen China
Xuemei Zhao China
Yinghua Lu China
Yang You China
Yang Feng relative to Tae‐Seong Kim South Korea Tae‐Seong Kim's profile →
Citations per field
00.5×4.8×
Tae‐Seong Kim · 1×
Citations per year

Countries citing papers authored by Yang Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yang Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yang Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yang Feng Line = papers co-authored together Yang Feng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020143
2 2018117
3 1998109
4 199885
5 200970
6 200858
7 202258
8 202254
9 202147
10 201644
11 201438
12 201734
13 202433
14 199729
15 202128
16 202028
17 202127
18 200925
19 202224
20 202021

About Yang Feng

Yang Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology and Organic Chemistry, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (45 papers), Topic Modeling (40 papers), Multimodal Machine Learning Applications (21 papers), Medical Image Segmentation Techniques (12 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Image Fusion Techniques (9 papers), Speech and dialogue systems (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (479 citations), Artificial Intelligence (691 citations), Media Technology (125 citations), Organic Chemistry (346 citations) and Health Informatics (12 citations). Yang Feng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tong‐Shuang Li, Chengguang Fu, Zhan‐Hui Zhang, Cheng Zhong, Bing Huang, Jinchao Zhang, Liyao Fu, Yaming Li, Fangfang Sun and Shuman Liu. Their work appears in journals such as Biomedical Signal Processing and Control, Sensors, The Journal of Organic Chemistry, The Visual Computer and Journal of Computational Chemistry.

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