Jingyi Shen

484 total citations · 1 hit paper
12 papers, 270 citations indexed

About

Jingyi Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jingyi Shen has authored 12 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Jingyi Shen's work include Time Series Analysis and Forecasting (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Personal Information Management and User Behavior (1 paper). Jingyi Shen is often cited by papers focused on Time Series Analysis and Forecasting (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Personal Information Management and User Behavior (1 paper). Jingyi Shen collaborates with scholars based in United States, China and Canada. Jingyi Shen's co-authors include M. Omair Shafiq, Han‐Wei Shen, Runqi Wang, Jun Liang, Olga Baysal, Ayan Biswas, Jiayi Xu, Xiangyang Gong, Ying Wang and Xiaofei Xie and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Journal Of Big Data and Neural Processing Letters.

In The Last Decade

Jingyi Shen

11 papers receiving 248 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Short-term stock market price trend prediction using a comprehensive deep learning system

2020 196 citations Jingyi Shen, M. Omair Shafiq Journal Of Big Data profile →

Peers

Countries citing papers authored by Jingyi Shen

Since Specialization

Citations

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

Fields of papers citing papers by Jingyi Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyi Shen. A scholar is included among the top collaborators of Jingyi Shen 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 Jingyi Shen. Jingyi Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	SurroFlow: A Flow-Based Surrogate Model for Parameter Space Exploration and Uncertainty Quantification 2024 ·IEEE Transactions on Visualization and Computer Graphics ·Jingyi Shen, (unknown), (unknown)	0
2	PSRFlow: Probabilistic Super Resolution with Flow-Based Models for Scientific Data 2023 ·IEEE Transactions on Visualization and Computer Graphics ·Jingyi Shen, Han‐Wei Shen	3
3	IDLat: An Importance-Driven Latent Generation Method for Scientific Data 2022 ·IEEE Transactions on Visualization and Computer Graphics ·Jingyi Shen, (unknown), Jiayi Xu, Ayan Biswas, Han‐Wei Shen	5
4	Automatic analysis of architectural floor plans based on deep learning and morphology 2022 ·Jingyi Shen, Ying Wang, (unknown), Xiangyang Gong	1
5	Research and Design of Big Data Relevance Analysis System for Land Development Industry Chain 2021 ·Xiaofei Xie, Jingyi Shen, (unknown), (unknown)	1
6	Short-term stock market price trend prediction using a comprehensive deep learning system breakdown → 2020 ·Journal Of Big Data ·Jingyi Shen, M. Omair Shafiq	196
7	Visual exploration of latent space for traditional Chinese music 2020 ·Visual Informatics ·Jingyi Shen, Runqi Wang, Han‐Wei Shen	15
8	Evaluating the Performance of Machine Learning Sentiment Analysis Algorithms in Software Engineering 2019 ·Jingyi Shen, Olga Baysal, M. Omair Shafiq	6
9	Learning Mobile Application Usage - A Deep Learning Approach 2019 ·Jingyi Shen, M. Omair Shafiq	11
10	Deep Learning Convolutional Neural Networks with Dropout - A Parallel Approach 2018 ·Jingyi Shen, M. Omair Shafiq	15
11	A novel similarity measure approach for time series based on PLA and DTW 2016 ·Jingyi Shen, (unknown), (unknown), Jun Liang	1
12	A Novel Similarity Measure Model for Multivariate Time Series Based on LMNN and DTW 2016 ·Neural Processing Letters ·Jingyi Shen, (unknown), (unknown), Jun Liang	16

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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