Jieping Ye

39.9k total citations · 10 hit papers
439 papers, 25.3k citations indexed

About

Jieping Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Jieping Ye has authored 439 papers receiving a total of 25.3k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Artificial Intelligence, 143 papers in Computer Vision and Pattern Recognition and 75 papers in Computational Mechanics. Recurrent topics in Jieping Ye's work include Face and Expression Recognition (80 papers), Sparse and Compressive Sensing Techniques (69 papers) and Transportation and Mobility Innovations (58 papers). Jieping Ye is often cited by papers focused on Face and Expression Recognition (80 papers), Sparse and Compressive Sensing Techniques (69 papers) and Transportation and Mobility Innovations (58 papers). Jieping Ye collaborates with scholars based in United States, China and Hong Kong. Jieping Ye's co-authors include Shuiwang Ji, Peter Wonka, Ji Liu, Przemysław Musialski, Ravi Janardan, Qi Li, Jiayu Zhou, Jun Liu, Zhengxia Zou and Zhenwei Shi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jieping Ye

423 papers receiving 24.6k citations

Hit Papers

Object De... 2004 2026 2011 2018 2023 2012 2018 2021 2019 400 800 1.2k

Peers

Jieping Ye
Comparison fields: 5 of 212
  • Computer Vision and Pattern Recognition 8.7k
  • Artificial Intelligence 7.9k
  • Transportation 3.9k
  • Computational Mechanics 3.5k
  • Building and Construction 3.2k
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Citations per field, relative to Jieping Ye
Jieping Ye · 1×
Citations per year, relative to Jieping Ye
Jieping Ye · 1×

Countries citing papers authored by Jieping Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jieping Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jieping Ye

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 0
3 3
4
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection breakdown →
91
5 6
6 2
7 3
8
Object Detection in 20 Years: A Survey breakdown →
1421
9 0
10 20
11 7
12 28
13 22
14 59
15 100
16
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach
2
17 15
18
Rank-One Matrix Pursuit for Matrix Completion
36
19
Transfer Learning Framework for Early Detection of Fatigue Using Noninvasive Surface Electromyogram Signals (SEMG)
1
20
Linear dimensionality reduction for multi-label classification
66

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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