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 Detection in 20 Ye... 2004 2026 2011 2018 2023 2012 2018 2021 2019 400 800 1.2k
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.

  1. Object Detection in 20 Years: A Survey
    2023 1.4k citations Zhengxia Zou, Keyan Chen et al. Proceedings of the IEEE profile →
  2. Tensor Completion for Estimating Missing Values in Visual Data
    2012 1.4k citations Jieping Ye et al. profile →
  3. Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
    2018 799 citations Jintao Ke, Jieping Ye et al. profile →
  4. A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
    2021 699 citations Jie Gui, Jieping Ye et al. IEEE Transactions on Knowledge and Data Engineering profile →
  5. Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
    2019 601 citations Qiang Yang, Jieping Ye et al. profile →
  6. Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization
    2013 601 citations Jieping Ye et al. profile →
  7. Two-Dimensional Linear Discriminant Analysis
    2004 482 citations Jieping Ye et al. profile →
  8. SLEP: Sparse Learning with Efficient Projections
    2011 441 citations Jieping Ye et al. profile →
  9. An accelerated gradient method for trace norm minimization
    2009 377 citations Jieping Ye et al. profile →
  10. MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection
    2024 91 citations Zi Ye, Zhentao Tan et al. IEEE Transactions on Geoscience and Remote Sensing profile →

Author Peers

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

Author Last Decade Papers Cites
Jieping Ye 8.7k 7.9k 3.9k 3.5k 3.2k 439 25.3k
Dimitri P. Bertsekas 3.7k 0.4× 8.8k 1.1× 1.1k 0.3× 5.1k 1.5× 649 0.2× 262 45.9k
Koray Kavukcuoglu 7.7k 0.9× 15.6k 2.0× 528 0.1× 622 0.2× 1.2k 0.4× 35 35.5k
Bart De Moor 3.6k 0.4× 7.0k 0.9× 582 0.1× 2.4k 0.7× 737 0.2× 641 30.8k
Alex Graves 7.8k 0.9× 18.2k 2.3× 632 0.2× 421 0.1× 1.4k 0.4× 40 36.5k
Yong Li 6.1k 0.7× 5.6k 0.7× 2.8k 0.7× 251 0.1× 2.0k 0.6× 961 25.8k
E. Dijkstra 3.7k 0.4× 2.8k 0.4× 2.0k 0.5× 373 0.1× 1.3k 0.4× 65 18.8k
Yong Yu 6.2k 0.7× 9.0k 1.1× 822 0.2× 1.6k 0.5× 749 0.2× 301 16.5k
Zhi‐Hua Zhou 13.3k 1.5× 22.7k 2.9× 524 0.1× 823 0.2× 619 0.2× 399 38.5k
Athanasios V. Vasilakos 4.0k 0.5× 8.8k 1.1× 846 0.2× 427 0.1× 673 0.2× 784 45.7k
Xiaofang Zhou 3.6k 0.4× 4.3k 0.6× 3.2k 0.8× 288 0.1× 1.0k 0.3× 613 14.4k

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
1.
Pan, Yuanfei, Yanhong Wei, Yi Liu, et al.. (2025). Generalized biological foundation model with unified nucleic acid and protein language. Nature Machine Intelligence. 7(6). 942–953. 8 indexed citations
2.
Liu, Junlong, Zhike Liu, Jiansheng Wu, et al.. (2025). Improving the Hit Rates of Virtual Screening by Active Learning from Bioactivity Feedback. Journal of Chemical Theory and Computation. 21(9). 4640–4651.
3.
4.
Zhao, Bingxin, Xiaopu Wang, H. Peng, et al.. (2025). UKB-MDRMF: a multi-disease risk and multimorbidity framework based on UK biobank data. Nature Communications. 16(1). 3767–3767. 3 indexed citations
5.
Wang, Kaixuan, et al.. (2025). Efficient Alignment of Unconditioned Action Prior for Language-Conditioned Pick and Place in Clutter. IEEE Transactions on Automation Science and Engineering. 22. 21256–21268.
6.
Qiu, Shuang, Binhang Yuan, Jiawei Jiang, et al.. (2024). Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. The VLDB Journal. 33(5). 1231–1255. 2 indexed citations
7.
Tan, Zhentao, Tao Gong, Qi Chu, et al.. (2024). Bootstrapping Audio-Visual Video Segmentation by Strengthening Audio Cues. IEEE Transactions on Circuits and Systems for Video Technology. 35(3). 2398–2409. 6 indexed citations
8.
Wen, Haomin, Youfang Lin, Lixia Wu, et al.. (2024). A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. IEEE Transactions on Knowledge and Data Engineering. 36(12). 7516–7535. 3 indexed citations
9.
Ye, Zi, Zhentao Tan, Tao Gong, et al.. (2024). MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–13. 91 indexed citations breakdown →
10.
Meng, Chuishi, Yanhua Li, Yu Zheng, et al.. (2023). The 12th International Workshop on Urban Computing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5874–5875. 1 indexed citations
11.
Qin, Zhiwei, Rui Song, Jieping Ye, Hongtu Zhu, & Michael I. Jordan. (2023). KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. 5878–5879.
12.
Zou, Zhengxia, Keyan Chen, Zhenwei Shi, Yuhong Guo, & Jieping Ye. (2023). Object Detection in 20 Years: A Survey. Proceedings of the IEEE. 111(3). 257–276. 1421 indexed citations breakdown →
13.
Chen, Jun, Jieping Ye, Fengyi Tang, & Jiayu Zhou. (2021). Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only. PubMed. 2021. 3830–3834. 20 indexed citations
14.
Zhang, Jie, Jianfeng Wu, Qingyang Li, et al.. (2021). Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Transactions on Medical Imaging. 40(8). 2030–2041. 7 indexed citations
15.
Zou, Zhengxia, Tianyang Shi, Zhenwei Shi, & Jieping Ye. (2021). Adversarial Training for Solving Inverse Problems in Image Processing. IEEE Transactions on Image Processing. 30. 2513–2525. 8 indexed citations
16.
Xu, Zhengtian, Jintao Ke, Yafeng Yin, et al.. (2021). Learning ride-sourcing drivers’ customer-searching behavior: A dynamic discrete choice approach. Transportation Research Part C Emerging Technologies. 130. 103293–103293. 28 indexed citations
17.
Wu, Huapeng, Zhengxia Zou, Jie Gui, et al.. (2020). Multi-Grained Attention Networks for Single Image Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology. 31(2). 512–522. 59 indexed citations
18.
Sun, Yiwen, Kun Fu, Zheng Wang, et al.. (2020). CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Transactions on Intelligent Transportation Systems. 23(5). 4037–4048. 22 indexed citations
19.
Xu, Zhengtian, Yafeng Yin, & Jieping Ye. (2019). On the supply curve of ride-hailing systems. Transportation Research Part B Methodological. 132. 29–43. 100 indexed citations
20.
Zhou, Jiayu, et al.. (2017). Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry. Brain and Behavior. 7(7). e00733–e00733. 15 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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