Xiaobing Feng

2.6k citations
100 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Parallel Computing and Optimization Techniques (42 papers)Advanced Neural Network Applications (30 papers)Advanced Data Storage Technologies (17 papers)
Journals
SHILAP Revista de lepidopterologíaMoleculesSensors

In The Last Decade

Xiaobing Feng

85 papers receiving 1.6k citations

Hit Papers

ShiDianNao20152026201820222015200400600

Peers

Xiaobing Feng
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 778
  • Electrical and Electronic Engineering 727
  • Hardware and Architecture 562
  • Artificial Intelligence 510
  • Computer Networks and Communications 478
Replace Eriko Nurvitadhi with:
Eriko Nurvitadhi United States
Brandon Reagen United States
Olatunji Ruwase United States
Cody Hao Yu United States
Yakun Sophia Shao United States
Jongse Park United States
Xuehai Qian United States
Jingwen Leng China
Ninghui Sun China
Angshuman Parashar United States
Xiaobing Feng relative to Eriko Nurvitadhi United States Eriko Nurvitadhi's profile →
Citations per field
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Eriko Nurvitadhi · 1×
Citations per year

Countries citing papers authored by Xiaobing Feng

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobing Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Feng. A scholar is included among the top collaborators of Xiaobing 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 Xiaobing Feng. Xiaobing 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 0
2 0
3 0
4 0
5 1
6 3
7 6
8 6
9 16
10 0
11 1
12 0
13 0
14 1
15 2
16 38
17 31
18 8
19 1
20 10

About Xiaobing Feng

Xiaobing Feng is a scholar working on Hardware and Architecture, Computational Mathematics and Software, having authored 100 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (42 papers), Advanced Neural Network Applications (30 papers) and Advanced Data Storage Technologies (17 papers). The work is most often cited by research in Hardware and Architecture (562 citations), Computational Mathematics (33 citations) and Computer Vision and Pattern Recognition (778 citations). Xiaobing Feng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yunji Chen, Tianshi Chen, Olivier Temam, Paolo Ienne, Robert Fasthuber, Ling Li, Zidong Du, Tao Luo, Jingling Xue and Huimin Cui. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecules and Sensors.

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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