Runbin Shi

20 papers receiving 326 citations

Peers

Runbin Shi
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 131
  • Computational Mathematics 3
  • Immunology 90
  • Hardware and Architecture 27
  • Artificial Intelligence 116
Replace Yi-Ran Sun with:
Yi-Ran Sun China
Sherif Khattab Egypt
Hao Wen China
Chirag Agarwal United States
Mengying Xu China
Bo Ni China
Steven Bell United States
Nitin Singhal South Korea
Baoru Han China
K. Kannan India
Runbin Shi relative to Yi-Ran Sun China Yi-Ran Sun's profile →
Citations per field
00.5×6.4×
Yi-Ran Sun · 1×
Citations per year

Countries citing papers authored by Runbin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Runbin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201196
2 202167
3 202142
4 202033
5 202012
6 201910
7 20239
8 20208
9 20217
10 20167
11 20227
12 20156
13
Image Super-resolution for Ultrafast Optical Time-stretch Imaging
20174
14 20174
15 20193
16 20203
17 20163
18 20193
19
Discovery of Diamond in North Qinling: Evidence for a Giant UHPM Belt across Central China and Recognition of Paleozoic and Mesozoic Dual Deep Subduction
20022
20 20182

About Runbin Shi

Runbin Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture and Biophysics, having authored 20 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), CCD and CMOS Imaging Sensors (5 papers), Advanced Memory and Neural Computing (5 papers), Parallel Computing and Optimization Techniques (3 papers), Neural Networks and Applications (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Computational Mathematics (3 citations), Immunology (90 citations), Hardware and Architecture (27 citations) and Artificial Intelligence (116 citations). Runbin Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hayden Kwok‐Hay So, Yanzhi Wang, Qiang Wu, Qing Zhou, Li Zuo, Wei Wei, Mengshu Sun, Xuehai Qian, Xue Lin and Yanyu Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Biomedical Circuits and Systems and ACM Transactions on Reconfigurable Technology 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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