Yujing Feng

576 total citations · 1 hit paper
26 papers, 390 citations indexed

About

Yujing Feng is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yujing Feng has authored 26 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hardware and Architecture, 5 papers in Computer Networks and Communications and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yujing Feng's work include Parallel Computing and Optimization Techniques (6 papers), Energy Harvesting in Wireless Networks (2 papers) and Graph Theory and Algorithms (2 papers). Yujing Feng is often cited by papers focused on Parallel Computing and Optimization Techniques (6 papers), Energy Harvesting in Wireless Networks (2 papers) and Graph Theory and Algorithms (2 papers). Yujing Feng collaborates with scholars based in China, United States and Netherlands. Yujing Feng's co-authors include Xiaochun Ye, Dongrui Fan, Yuan Xie, Lei Deng, Mingyu Yan, Zhimin Zhang, Xing Hu, Ling Liang, Yiming Chen and Aimin Yang and has published in prestigious journals such as Journal of Ethnopharmacology, Sustainability and Poultry Science.

In The Last Decade

Yujing Feng

21 papers receiving 383 citations

Hit Papers

HyGCN: A GCN Accelerator with Hybrid Architecture 2020 2026 2022 2024 2020 50 100 150 200

Peers

Yujing Feng
Comparison fields: 5 of 81
  • Artificial Intelligence 201
  • Computer Vision and Pattern Recognition 164
  • Electrical and Electronic Engineering 126
  • Computer Networks and Communications 71
  • Hardware and Architecture 70
Replace K. R. Ramkumar with:
K. R. Ramkumar India
He Yan United States
Myungho Lee South Korea
Chang Wu China
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Wenbo Shen China
Hyoeun Kang South Korea
Xiaopeng Gao China
Jungang Xu China
K. R. Ramkumar India View profile →
Citations per field, relative to Yujing Feng
Yujing Feng · 1×
Citations per year, relative to Yujing Feng
Yujing Feng · 1×

Countries citing papers authored by Yujing Feng

Since Specialization
Citations

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

Fields of papers citing papers by Yujing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Yujing Feng. A scholar is included among the top collaborators of Yujing 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 Yujing Feng. Yujing 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
# Work Indexed citations
1 0
2 3
3 0
4 0
5 2
6 2
7 2
8 10
9 18
10 2
11
HyGCN: A GCN Accelerator with Hybrid Architecture breakdown →
216
12 5
13 31
14 2
15 65
16 3
17 1
18 3
19 0
20
A CAD based Computer-Aided Tolerancing Model for the Machining Process
3

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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