Cong Shi

688 citations
66 papers · 454 · h-index 12

Impact in

Papers in

Cong Shi

62 papers receiving 447 citations

Peers

Cong Shi
Comparison fields: 5 of 79
  • Electrical and Electronic Engineering 279
  • Cellular and Molecular Neuroscience 86
  • Computer Vision and Pattern Recognition 82
  • Cognitive Neuroscience 71
  • Artificial Intelligence 109
Replace Hongxin Wang with:
Hongxin Wang China
Xiaoyue Ji China
Juan P. Dominguez‐Morales Spain
N. Srinivasa United States
Luis E. Falcón-Morales Mexico
Benoît Miramond France
Ying Wei China
Yuhao Luo China
Arren Glover Italy
Cong Shi relative to Hongxin Wang China Hongxin Wang's profile →
Citations per field
00.5×3.3×
Hongxin Wang · 1×
Citations per year

Countries citing papers authored by Cong Shi

Since Specialization
Citations

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

Fields of papers citing papers by Cong Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201830
2 202227
3 202126
4 202021
5 202419
6 202019
7 202019
8 202118
9 202318
10 202018
11 202016
12 202115
13 201911
14 20189
15 20239
16 20239
17 20228
18 20228
19 20168
20 20248

About Cong Shi

Cong Shi is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 66 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (35 papers), Ferroelectric and Negative Capacitance Devices (16 papers), CCD and CMOS Imaging Sensors (15 papers), Neuroscience and Neural Engineering (11 papers), Advanced Neural Network Applications (10 papers), Neural dynamics and brain function (10 papers), Neural Networks and Reservoir Computing (6 papers) and Machine Learning and ELM (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (279 citations), Cellular and Molecular Neuroscience (86 citations), Computer Vision and Pattern Recognition (82 citations), Cognitive Neuroscience (71 citations) and Artificial Intelligence (109 citations). Cong Shi has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Gang Luo, Ying Wang, Nanjian Wu, Liyuan Liu, Junxian He, Xichuan Zhou, Min Tian, Ping Li, Haibing Wang and Yingcheng Lin. Their work appears in journals such as IEEE Transactions on Circuits & Systems II Express Briefs, Sensors, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Electron Devices and IEEE Transactions on Biomedical 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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