Hanbo Sun

546 citations
22 papers · 360 · h-index 9

Impact in

Papers in

Hanbo Sun

22 papers receiving 357 citations

Peers

Hanbo Sun
Comparison fields: 5 of 36
  • Hardware and Architecture 47
  • Computer Vision and Pattern Recognition 93
  • Electrical and Electronic Engineering 259
  • Artificial Intelligence 100
  • Cellular and Molecular Neuroscience 31
Replace Yun Long with:
Yun Long United States
Zongwu Wang China
Daniel Bankman United States
Kodai Ueyoshi Japan
Daisuke Miyashita Japan
Rickard Ewetz United States
Yulhwa Kim South Korea
Geoffrey Ndu United Kingdom
Yun-Chen Lo Taiwan
Mustafa Ali United States
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Citations per field
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Citations per year

Countries citing papers authored by Hanbo Sun

Since Specialization
Citations

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

Fields of papers citing papers by Hanbo Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hanbo Sun, 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 Hanbo Sun Line = papers co-authored together Hanbo Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201968
2 202459
3 202055
4 201843
5 202035
6 202328
7 201813
8 20228
9 20238
10 20247
11 20207
12 20226
13 20214
14 20234
15 20203
16 20213
17 20212
18 20222
19 20232
20 20211

About Hanbo Sun

Hanbo Sun is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Signal Processing, having authored 22 papers that have together received 360 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (15 papers), Ferroelectric and Negative Capacitance Devices (10 papers), Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (5 papers), Neuroscience and Neural Engineering (2 papers), Machine Learning and Data Classification (2 papers), Speech Recognition and Synthesis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (47 citations), Computer Vision and Pattern Recognition (93 citations), Electrical and Electronic Engineering (259 citations), Artificial Intelligence (100 citations) and Cellular and Molecular Neuroscience (31 citations). Hanbo Sun has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huazhong Yang, Zhenhua Zhu, Yu Wang, Lixue Xia, Guohao Dai, Yujun Lin, Song Han, Yi Cai, Xuefei Ning and Yu Wang. Their work appears in journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ACM Transactions on Reconfigurable Technology and Systems, IEEE Transactions on Circuits and Systems for Video Technology, 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) and IEEE Conference Proceedings.

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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