Jianbin Fang

1.7k citations
83 papers · 1.1k indexed · h-index 18
Topics
Parallel Computing and Optimization Techniques (54 papers)Advanced Data Storage Technologies (32 papers)Distributed and Parallel Computing Systems (24 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Computational PhysicsFuture Generation Computer Systems

In The Last Decade

Jianbin Fang

76 papers receiving 1.0k citations

Peers

Jianbin Fang
Comparison fields: 5 of 85
  • Computer Networks and Communications 530
  • Hardware and Architecture 524
  • Computer Vision and Pattern Recognition 230
  • Information Systems 187
  • Artificial Intelligence 175
Replace Ronak Singhal with:
Ronak Singhal United States
Sara S. Baghsorkhi United States
Rolf Rabenseifner Germany
Shane Ryoo United States
Francisco D. Igual Spain
Ana Lucia Vărbănescu Netherlands
Manuel Prieto Spain
Canqun Yang China
Kevin Barker United States
Nathan R. Tallent United States
Jianbin Fang relative to Ronak Singhal United States Ronak Singhal's profile →
Citations per field
00.5×10×15×21.8×
Ronak Singhal · 1×
Citations per year

Countries citing papers authored by Jianbin Fang

Since Specialization
Citations

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

Fields of papers citing papers by Jianbin Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianbin Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianbin Fang. A scholar is included among the top collaborators of Jianbin Fang 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 Jianbin Fang. Jianbin Fang 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 1
2 0
3 1
4 5
5 2
6 1
7 2
8 1
9 3
10 33
11 0
12
Characterizing Scalability of Sparse Matrix–Vector Multiplications on Phytium FT-2000+
9
13
Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures
13
14 28
15 23
16 8
17 6
18 24
19 31
20 161

About Jianbin Fang

Jianbin Fang is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Mathematics, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (54 papers), Advanced Data Storage Technologies (32 papers) and Distributed and Parallel Computing Systems (24 papers). The work is most often cited by research in Hardware and Architecture (524 citations), Computational Mathematics (15 citations) and Computer Networks and Communications (530 citations). Jianbin Fang has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Ana Lucia Vărbănescu, Henk Sips, Zheng Wang, Chuanfu Xu, Tao Tang, Canqun Yang, Chun Huang, Yonggang Che, Donglin Chen and Lilun Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Future Generation Computer 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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