Bin Tan

788 citations
64 papers · 554 · h-index 12

Impact in

Papers in

Bin Tan

57 papers receiving 526 citations

Peers

Bin Tan
Comparison fields: 5 of 80
  • Computer Vision and Pattern Recognition 127
  • Computer Networks and Communications 142
  • Instrumentation 21
  • Signal Processing 56
  • Aerospace Engineering 119
Replace Chunyi Song with:
Chunyi Song China
Guohua Wang China
Jaehoon Jung South Korea
Hongqing Liu China
P. López Spain
Murat Efe Türkiye
Hongyan Wang China
Bin Tan relative to Chunyi Song China Chunyi Song's profile →
Citations per field
00.5×1.5×1.9×
Chunyi Song · 1×
Citations per year

Countries citing papers authored by Bin Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Tan Line = papers co-authored together Bin Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202270
2 202061
3 200247
4 202142
5 202031
6 199830
7 201826
8 202226
9 201721
10 201719
11 201515
12
Automated Parameter Optimization of Double Frequency Modulation Synthesis Using the Genetic Annealing Algorithm
199611
13 201711
14 201011
15 202111
16 202010
17 20239
18 20198
19 20217
20
Real-Time Implementation of Double Frequency Modulation (DFM) Synthesis
19946

About Bin Tan

Bin Tan is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Aerospace Engineering and Signal Processing, having authored 64 papers that have together received 554 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (6 papers), Advanced Wireless Communication Techniques (6 papers), Advanced MIMO Systems Optimization (5 papers), Advanced Chemical Physics Studies (5 papers), Cooperative Communication and Network Coding (4 papers), IoT and Edge/Fog Computing (3 papers), Video Analysis and Summarization (3 papers) and Image and Video Quality Assessment (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Computer Networks and Communications (142 citations), Instrumentation (21 citations), Signal Processing (56 citations) and Aerospace Engineering (119 citations). Bin Tan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jun Wu, Libo Huang, Rui Wang, Sen Li, Lianqing Zheng, Haoqi Ren, Sihan Chen, Krishnan Venkatakrishnan, N.R. Sivakumar and Jie Bai. Their work appears in journals such as IEEE Internet of Things Journal, Journal of the Audio Engineering Society, IEEE Wireless Communications Letters, IEEE Transactions on Multimedia and Chinese Physics Letters.

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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