Jiantao Qiu

18 papers receiving 1.6k citations

Hit Papers

Going Deeper with Embedded FPGA Platform for Convolutiona...201620262019202220162017250500750

Peers

Jiantao Qiu
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 1.1k
  • Electrical and Electronic Engineering 944
  • Artificial Intelligence 487
  • Hardware and Architecture 230
  • Computer Networks and Communications 109
Replace Boxun Li with:
Boxun Li China
Peng Ouyang China
Zhenman Fang Canada
Ruihao Gong China
Tian‐Sheuan Chang Taiwan
Francesco Conti Italy
Bert Moons Belgium
Paul N. Whatmough United States
Li Jiang China
Jiantao Qiu relative to Boxun Li China Boxun Li's profile →
Citations per field
00.5×1.7×
Boxun Li · 1×
Citations per year

Countries citing papers authored by Jiantao Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Jiantao Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiantao Qiu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Qiu. A scholar is included among the top collaborators of Jiantao Qiu 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 Jiantao Qiu. Jiantao Qiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 29
2 17
3 4
4 15
5 1
6 4
7 6
8 1
9 10
10 60
11 18
12 22
13 56
14 25
15
Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGAbreakdown →
416
16 41
17 53
18
Going Deeper with Embedded FPGA Platform for Convolutional Neural Networkbreakdown →
882

About Jiantao Qiu

Jiantao Qiu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrochemistry, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (11 papers), CCD and CMOS Imaging Sensors (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Hardware and Architecture (230 citations) and Electrical and Electronic Engineering (944 citations). Jiantao Qiu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huazhong Yang, Kaiyuan Guo, Song Yao, Jincheng Yu, Yu Wang, Tianqi Tang, Boxun Li, Sen Song, Ningyi Xu and Jie Wang. Their work appears in journals such as Journal of Cleaner Production, IEEE Access and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

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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