Jingyi Shen

17 total papers · 477 total citations
12 papers, 263 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 263 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 Text and Document Classification Technologies (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 Text and Document Classification Technologies (1 paper). Jingyi Shen collaborates with scholars based in United States, Canada and China. Jingyi Shen's co-authors include M. Omair Shafiq, Han‐Wei Shen, Runqi Wang, Jun Liang, Olga Baysal, Ayan Biswas, Jiayi Xu, Ying Wang, Xiaofei Xie and Xiangyang Gong 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

10 papers receiving 241 citations

Hit Papers

Short-term stock market p... 2020 2026 2022 2024 2020 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jingyi Shen 172 72 54 46 39 12 263
Siqi Tang 127 0.7× 85 1.2× 33 0.6× 38 0.8× 29 0.7× 12 252
Taewook Kim 187 1.1× 88 1.2× 43 0.8× 67 1.5× 28 0.7× 8 268
Sidra Mehtab 122 0.7× 42 0.6× 40 0.7× 49 1.1× 19 0.5× 13 201
Rudra Kalyan Nayak 113 0.7× 64 0.9× 53 1.0× 38 0.8× 11 0.3× 24 210
Konstantinos Theofilatos 125 0.7× 64 0.9× 70 1.3× 46 1.0× 9 0.2× 13 275
Andrés L. Suárez‐Cetrulo 124 0.7× 57 0.8× 83 1.5× 30 0.7× 23 0.6× 12 259
Shivam Agarwal 192 1.1× 80 1.1× 88 1.6× 61 1.3× 44 1.1× 10 270
Arnav Wadhwa 194 1.1× 90 1.3× 96 1.8× 64 1.4× 44 1.1× 11 326
Zehong Yang 138 0.8× 104 1.4× 159 2.9× 38 0.8× 25 0.6× 11 318
Yumo Xu 196 1.1× 69 1.0× 153 2.8× 78 1.7× 33 0.8× 10 307

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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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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