Junxing Shi

751 total citations
7 papers, 370 citations indexed

About

Junxing Shi is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Junxing Shi has authored 7 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Junxing Shi's work include Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers) and Face Recognition and Perception (4 papers). Junxing Shi is often cited by papers focused on Neural dynamics and brain function (4 papers), Visual perception and processing mechanisms (4 papers) and Face Recognition and Perception (4 papers). Junxing Shi collaborates with scholars based in United States and China. Junxing Shi's co-authors include Haiguang Wen, Yizhen Zhang, Zhongming Liu, Kun‐Han Lu, Jiayue Cao, Kuan Han, Zhongming Liu, Di Fu, Wei Chen and Eugenio Culurciello and has published in prestigious journals such as NeuroImage, Scientific Reports and Cerebral Cortex.

In The Last Decade

Junxing Shi

7 papers receiving 365 citations

Peers

Junxing Shi
Luca Ambrogioni Netherlands
Katja Seeliger Netherlands
Kshitij Dwivedi Germany
Courtney J. Spoerer United Kingdom
Chengxu Zhuang United States
Siming Yan United States
Aran Nayebi United States
Dean Wyatte United States
Yihan Wu United States
Zhijiang Wan China
Luca Ambrogioni Netherlands
Junxing Shi
Citations per year, relative to Junxing Shi Junxing Shi (= 1×) peers Luca Ambrogioni

Countries citing papers authored by Junxing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Junxing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Junxing Shi. A scholar is included among the top collaborators of Junxing Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junxing Shi. Junxing Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Han, Kuan, Haiguang Wen, Junxing Shi, et al.. (2019). Variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex. NeuroImage. 198. 125–136. 101 indexed citations
2.
Wen, Haiguang, Kuan Han, Junxing Shi, et al.. (2018). Deep Predictive Coding Network for Object Recognition.. International Conference on Machine Learning. 5266–5275. 7 indexed citations
3.
Wen, Haiguang, et al.. (2018). Deep Residual Network Predicts Cortical Representation and Organization of Visual Features for Rapid Categorization. Scientific Reports. 8(1). 3752–3752. 38 indexed citations
4.
Wen, Haiguang, Junxing Shi, Wei Chen, & Zhongming Liu. (2018). Transferring and generalizing deep-learning-based neural encoding models across subjects. NeuroImage. 176. 152–163. 19 indexed citations
5.
Shi, Junxing, Haiguang Wen, Yizhen Zhang, Kuan Han, & Zhongming Liu. (2018). Deep recurrent neural network reveals a hierarchy of process memory during dynamic natural vision. Human Brain Mapping. 39(5). 2269–2282. 25 indexed citations
6.
Wen, Haiguang, Junxing Shi, Yizhen Zhang, et al.. (2017). Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision. Cerebral Cortex. 28(12). 4136–4160. 179 indexed citations
7.
Wen, Haiguang, Junxing Shi, Wei Chen, & Zhongming Liu. (2017). Visualized layer-wise visual features in deep residual neural network. 1 indexed citations

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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2026