Xiaobing Feng

149 total papers · 2.6k total citations
100 papers, 1.7k citations indexed

About

Xiaobing Feng is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiaobing Feng has authored 100 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 42 papers in Hardware and Architecture and 36 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiaobing Feng's work include Parallel Computing and Optimization Techniques (42 papers), Advanced Neural Network Applications (30 papers) and Cloud Computing and Resource Management (17 papers). Xiaobing Feng is often cited by papers focused on Parallel Computing and Optimization Techniques (42 papers), Advanced Neural Network Applications (30 papers) and Cloud Computing and Resource Management (17 papers). Xiaobing Feng collaborates with scholars based in China, Australia and United States. Xiaobing Feng's co-authors include Yunji Chen, Tianshi Chen, Olivier Temam, Zidong Du, Ling Li, Robert Fasthuber, Tao Luo, Paolo Ienne, Jingling Xue and Huimin Cui and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Sensors.

In The Last Decade

Xiaobing Feng

85 papers receiving 1.6k citations

Hit Papers

ShiDianNao 2015 2026 2018 2022 2015 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaobing Feng 778 724 562 512 476 100 1.7k
Eriko Nurvitadhi 678 0.9× 689 1.0× 693 1.2× 493 1.0× 479 1.0× 75 1.7k
Brandon Reagen 494 0.6× 840 1.2× 701 1.2× 525 1.0× 462 1.0× 36 1.6k
Tsung‐Wei Huang 276 0.4× 998 1.4× 776 1.4× 246 0.5× 471 1.0× 116 1.8k
Srihari Cadambi 644 0.8× 823 1.1× 1.3k 2.3× 426 0.8× 965 2.0× 39 2.0k
Zhenman Fang 545 0.7× 594 0.8× 647 1.2× 363 0.7× 491 1.0× 72 1.6k
Yakun Sophia Shao 577 0.7× 1.0k 1.4× 1.2k 2.1× 388 0.8× 699 1.5× 48 2.1k
Cliff Young 285 0.4× 657 0.9× 1.1k 1.9× 448 0.9× 817 1.7× 39 1.9k
Jongse Park 581 0.7× 829 1.1× 537 1.0× 512 1.0× 346 0.7× 42 1.5k
Yufei Ding 356 0.5× 821 1.1× 443 0.8× 1.1k 2.1× 264 0.6× 105 2.0k
Olatunji Ruwase 536 0.7× 336 0.5× 485 0.9× 1.1k 2.1× 580 1.2× 30 1.9k

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

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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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