Cong Shi

716 citations
64 papers · 470 · h-index 12

Impact in

Papers in

Cong Shi

60 papers receiving 464 citations

Peers

Cong Shi
Comparison fields: 5 of 81
  • Electrical and Electronic Engineering 284
  • Cellular and Molecular Neuroscience 83
  • Computer Vision and Pattern Recognition 85
  • 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
Tales Cleber Pimenta Brazil
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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201831
2 202228
3 202126
4 202425
5 202022
6 202119
7 202019
8 202319
9 202019
10 202019
11 202116
12 202016
13 201911
14 202310
15 202410
16 20229
17 20189
18 20239
19 20228
20 20168

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 64 papers that have together received 470 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (34 papers), Ferroelectric and Negative Capacitance Devices (15 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 (284 citations), Cellular and Molecular Neuroscience (83 citations), Computer Vision and Pattern Recognition (85 citations), Cognitive Neuroscience (71 citations) and Artificial Intelligence (109 citations). Cong Shi has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Ying Wang, Gang Luo, Liyuan Liu, Nanjian Wu, Xichuan Zhou, Junxian He, 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 Electron Devices, IEEE Transactions on Biomedical Circuits and Systems and IEEE Transactions on Computer-Aided Design of Integrated 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.

Explore authors with similar magnitude of impact