Zhengping Che

4.6k total citations · 1 hit paper
39 papers, 2.4k citations indexed

About

Zhengping Che is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhengping Che has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Zhengping Che's work include Machine Learning in Healthcare (10 papers), Time Series Analysis and Forecasting (8 papers) and Reinforcement Learning in Robotics (6 papers). Zhengping Che is often cited by papers focused on Machine Learning in Healthcare (10 papers), Time Series Analysis and Forecasting (8 papers) and Reinforcement Learning in Robotics (6 papers). Zhengping Che collaborates with scholars based in China, United States and Hong Kong. Zhengping Che's co-authors include Yan Liu, Sanjay Purushotham, David Sontag, Chuizheng Meng, Jian Tang, David C. Kale, Wenzhe Li, Robinder G. Khemani, Mohammad Taha Bahadori and Shuangfei Zhai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and The Journal of Urology.

In The Last Decade

Zhengping Che

36 papers receiving 2.4k 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.

Recurrent Neural Networks for Multivariate Time Series with Missing Values

2018 1.2k citations Zhengping Che, Sanjay Purushotham et al. Scientific Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Zhengping Che China	17	1.5k	500	384	338	222	39	2.4k
Sanjay Purushotham United States	16	1.3k 0.8×	459 0.9×	296 0.8×	241 0.7×	224 1.0×	50	2.4k
Miloš Hauskrecht United States	26	1.7k 1.1×	460 0.9×	196 0.5×	305 0.9×	119 0.5×	135	2.8k
Jinsung Yoon United States	24	1.3k 0.9×	193 0.4×	132 0.3×	375 1.1×	137 0.6×	70	2.7k
Edward Choi United States	16	1.8k 1.2×	179 0.4×	713 1.9×	361 1.1×	216 1.0×	48	2.5k
Susana M. Vieira Portugal	26	947 0.6×	150 0.3×	209 0.5×	202 0.6×	211 1.0×	130	2.7k
Gang Luo United States	25	818 0.5×	202 0.4×	190 0.5×	145 0.4×	113 0.5×	139	2.0k
Rajesh Ranganath United States	18	1.3k 0.8×	260 0.5×	125 0.3×	1.1k 3.2×	74 0.3×	60	2.9k
Liaqat Ali Pakistan	24	906 0.6×	261 0.5×	521 1.4×	152 0.4×	51 0.2×	60	2.2k
Sami Bourouis Saudi Arabia	29	845 0.6×	205 0.4×	116 0.3×	596 1.8×	95 0.4×	110	2.5k

Countries citing papers authored by Zhengping Che

Since Specialization

Citations

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

Fields of papers citing papers by Zhengping Che

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengping Che

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Che, Zhengping, Juan Huang, Xingxing Chai, et al.. (2025). Lactobacillus rhamnosus B16 regulates lipid metabolism homeostasis by producing acetic acid. Journal of Translational Medicine. 23(1). 1122–1122.

Dong, Chen, et al.. (2024). EPSD: Early Pruning with Self-Distillation for Efficient Model Compression. Proceedings of the AAAI Conference on Artificial Intelligence. 38(10). 11258–11266. 2 indexed citations

Wen, Junjie, Zhiyuan Xu, Zhengping Che, et al.. (2024). Object-Centric Instruction Augmentation for Robotic Manipulation. 4318–4325. 5 indexed citations

Zhao, Yinuo, et al.. (2024). ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 11399–11413.

Xu, Zhiyuan, et al.. (2024). Language-Conditioned Robotic Manipulation with Fast and Slow Thinking. 4333–4339. 8 indexed citations

Wang, Haowen, Zhengping Che, Qiao Liang, et al.. (2024). SM³: Self-supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects. 12492–12498. 2 indexed citations

Che, Zhengping, et al.. (2023). Human Pose Transfer with Augmented Disentangled Feature Consistency. ACM Transactions on Intelligent Systems and Technology. 15(1). 1–22. 1 indexed citations

Che, Zhengping, Ning Liu, Mingyang Li, et al.. (2023). CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11595–11607. 26 indexed citations

Liu, Xiaowei, Zhengping Che, Zhiyuan Xu, et al.. (2023). Distributional generative adversarial imitation learning with reproducing kernel generalization. Neural Networks. 165. 43–59. 2 indexed citations

10.

Zeng, Tieyong, et al.. (2022). SRRNet: A Semantic Representation Refinement Network for Image Segmentation. IEEE Transactions on Multimedia. 25. 5720–5732. 6 indexed citations

11.

Sun, Yiwen, Donghua Zhou, Baichuan Mo, et al.. (2022). Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Transactions on Intelligent Transportation Systems. 23(12). 23231–23243. 5 indexed citations

12.

Xu, Zhiyuan, et al.. (2020). Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. arXiv (Cornell University). 33. 15146–15155. 2 indexed citations

13.

Che, Zhengping, et al.. (2018). Recurrent Neural Networks for Multivariate Time Series with Missing Values. Scientific Reports. 8(1). 6085–6085. 1239 indexed citations breakdown →

14.

Hung, Andrew J., Jian Chen, Zhengping Che, et al.. (2018). Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes. Journal of Endourology. 32(5). 438–444. 116 indexed citations

15.

Purushotham, Sanjay, Chuizheng Meng, Zhengping Che, & Yan Liu. (2018). Benchmarking deep learning models on large healthcare datasets. Journal of Biomedical Informatics. 83. 112–134. 238 indexed citations

16.

Che, Zhengping, et al.. (2018). Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series. International Conference on Machine Learning. 784–793. 17 indexed citations

17.

Hung, Andrew J., Jian Chen, Zhengping Che, et al.. (2018). PD58-01 UTILIZATION OF MACHINE LEARNING AND AUTOMATED PERFORMANCE METRICS TO EVALUATE ROBOT-ASSISTED RADICAL PROSTATECTOMY PERFORMANCE AND PREDICT PATIENT OUTCOMES. The Journal of Urology. 199(4S). 1 indexed citations

18.

Che, Zhengping, David C. Kale, Wenzhe Li, Mohammad Taha Bahadori, & Yan Liu. (2015). Deep Computational Phenotyping. 507–516. 159 indexed citations

19.

Kale, David C., Zhengping Che, Mohammad Taha Bahadori, et al.. (2015). Causal Phenotype Discovery via Deep Networks.. PubMed. 2015. 677–86. 15 indexed citations

20.

Kale, David C., Dian Gong, Zhengping Che, et al.. (2014). An Examination of Multivariate Time Series Hashing with Applications to Health Care. 260–269. 22 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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